diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..80bcd5f --- /dev/null +++ b/.gitattributes @@ -0,0 +1,4 @@ +# AI model files are binary: never touch their line endings. +*.onnx binary +*.onnx.part* binary +*.wasm binary diff --git a/README.md b/README.md index 795ed65..ce5219a 100644 --- a/README.md +++ b/README.md @@ -8,7 +8,7 @@

Free, private tools for PDF, images, audio, Word, Excel and PowerPoint that never see your files.

- 64 tools — compress, convert, edit, redact, merge, split, cut, OCR, transcribe — running 100% in your browser.
+ 65 tools — compress, convert, edit, redact, remove backgrounds, merge, split, cut, OCR, transcribe — running 100% in your browser.
No uploads. No sign-up. No watermark. No limits. Free forever. 16 languages.

@@ -16,7 +16,7 @@

Open Fizzdoc →  ·  - All tools  ·  + All tools  ·  How it works  ·  Contribute

@@ -27,7 +27,7 @@ Apache-2.0 license 0 bytes uploaded Free forever - 64 tools + 65 tools 16 languages PRs welcome

@@ -53,7 +53,7 @@ Most free online file tools ask you to upload your contract, payslip, bank state | What you get | | |---|---| | 🔒 **Your file stays on your device** | No upload endpoint exists, and the CSP blocks connections to any other site | -| 🧰 **64 tools in one place** | PDF, Word, Excel, PowerPoint, images, audio, JSON and Mermaid | +| 🧰 **65 tools in one place** | PDF, Word, Excel, PowerPoint, images, audio, JSON and Mermaid | | ✏️ **Edit PDF text in its own font** | Changed lines are rewritten inside the PDF with its embedded font, size and colour | | 🎙️ **Speech to text on the device** | Whisper runs in the browser: TXT, SRT or VTT, offline after a one-time download | | 🆓 **Free forever** | No account, no daily limits, no watermark, no premium tier | @@ -108,6 +108,7 @@ Most free online file tools ask you to upload your contract, payslip, bank state | **Edit text** in a PDF, or **black out** personal details for good | [Edit PDF](https://fizzdoc.com/edit-pdf/) · [Redact PDF](https://fizzdoc.com/redact-pdf/) | | Turn a PDF into an **editable Word** file, or Word into PDF | [PDF to Word](https://fizzdoc.com/pdf-to-word/) · [Word to PDF](https://fizzdoc.com/word-to-pdf/) | | **Remove the password** from a bank statement, or add one | [Unlock PDF](https://fizzdoc.com/unlock-pdf/) · [Protect PDF](https://fizzdoc.com/protect-pdf/) | +| **Remove the background** from a photo, or put white, a colour, a blur or another photo behind, at full resolution | [Remove Background](https://fizzdoc.com/remove-background/) | | **Copy text** from a scanned PDF, a photo or a screenshot | [OCR PDF](https://fizzdoc.com/ocr-pdf/) · [Image to Text](https://fizzdoc.com/image-to-text/) | | Combine **photos or screenshots into one PDF** | [JPG to PDF](https://fizzdoc.com/jpg-to-pdf/) · [PNG to PDF](https://fizzdoc.com/png-to-pdf/) | | Convert **everyday formats**: PNG ↔ JPG, WebP → JPG, Excel ↔ CSV | [Convert Image](https://fizzdoc.com/convert-image/) · [Excel to CSV](https://fizzdoc.com/excel-to-csv/) · [CSV to Excel](https://fizzdoc.com/csv-to-excel/) | @@ -115,7 +116,7 @@ Most free online file tools ask you to upload your contract, payslip, bank state | Export a **Mermaid diagram as PNG or SVG** for slides, docs or a README | [Mermaid to PNG](https://fizzdoc.com/mermaid-to-png/) · [Mermaid to SVG](https://fizzdoc.com/mermaid-to-svg/) | | **Remove hidden author and company names** before sharing an Office file or PDF | [Word](https://fizzdoc.com/remove-word-metadata/) · [Excel](https://fizzdoc.com/remove-excel-metadata/) · [PowerPoint](https://fizzdoc.com/remove-powerpoint-metadata/) · [PDF](https://fizzdoc.com/remove-pdf-metadata/) | -## 🧰 All 64 tools +## 🧰 All 65 tools | Format | Tools | |---|---| @@ -124,7 +125,7 @@ Most free online file tools ask you to upload your contract, payslip, bank state | **Word** | [Word → PDF](https://fizzdoc.com/word-to-pdf/) · [Compress](https://fizzdoc.com/compress-word/) · [Remove metadata](https://fizzdoc.com/remove-word-metadata/) · [Extract images](https://fizzdoc.com/extract-images-from-word/) | | **Excel** | [Excel → CSV](https://fizzdoc.com/excel-to-csv/) · [CSV → Excel](https://fizzdoc.com/csv-to-excel/) · [Excel → JSON](https://fizzdoc.com/excel-to-json/) · [JSON → Excel](https://fizzdoc.com/json-to-excel/) · [Compress](https://fizzdoc.com/compress-excel/) · [Remove metadata](https://fizzdoc.com/remove-excel-metadata/) · [Extract images](https://fizzdoc.com/extract-images-from-excel/) | | **PowerPoint** | [Compress](https://fizzdoc.com/compress-powerpoint/) · [Remove metadata](https://fizzdoc.com/remove-powerpoint-metadata/) · [Extract images](https://fizzdoc.com/extract-images-from-powerpoint/) | -| **Images** | [Compress](https://fizzdoc.com/compress-image/) (to [20 KB](https://fizzdoc.com/compress-image-to-20kb/), [50 KB](https://fizzdoc.com/compress-image-to-50kb/), [100 KB](https://fizzdoc.com/compress-image-to-100kb/) for forms) · [Resize](https://fizzdoc.com/resize-image/) (larger or smaller) · [Convert](https://fizzdoc.com/convert-image/) · [PNG → JPG](https://fizzdoc.com/png-to-jpg/) · [JPG → PNG](https://fizzdoc.com/jpg-to-png/) · [WebP → JPG](https://fizzdoc.com/webp-to-jpg/) · [JPG → WebP](https://fizzdoc.com/jpg-to-webp/) · [Image → Text](https://fizzdoc.com/image-to-text/) (select text right on the photo, like Live Text) · [Mermaid → PNG](https://fizzdoc.com/mermaid-to-png/) · [Mermaid → SVG](https://fizzdoc.com/mermaid-to-svg/) (diagrams from code, with a preview and ready-to-use examples) | +| **Images** | [Remove background](https://fizzdoc.com/remove-background/) (AI on your device, full resolution) · [Compress](https://fizzdoc.com/compress-image/) (to [20 KB](https://fizzdoc.com/compress-image-to-20kb/), [50 KB](https://fizzdoc.com/compress-image-to-50kb/), [100 KB](https://fizzdoc.com/compress-image-to-100kb/) for forms) · [Resize](https://fizzdoc.com/resize-image/) (larger or smaller) · [Convert](https://fizzdoc.com/convert-image/) · [PNG → JPG](https://fizzdoc.com/png-to-jpg/) · [JPG → PNG](https://fizzdoc.com/jpg-to-png/) · [WebP → JPG](https://fizzdoc.com/webp-to-jpg/) · [JPG → WebP](https://fizzdoc.com/jpg-to-webp/) · [Image → Text](https://fizzdoc.com/image-to-text/) (select text right on the photo, like Live Text) · [Mermaid → PNG](https://fizzdoc.com/mermaid-to-png/) · [Mermaid → SVG](https://fizzdoc.com/mermaid-to-svg/) (diagrams from code, with a preview and ready-to-use examples) | | **Audio** | [Cut & Split Audio](https://fizzdoc.com/split-audio/) (trim or split an MP3/M4A on a waveform, preview every part) · [Merge Audio](https://fizzdoc.com/merge-audio/) (listen before you download) — no re-encoding, so no quality loss · [Audio to Text](https://fizzdoc.com/audio-to-text/) · [MP3 to Text](https://fizzdoc.com/mp3-to-text/) · [Video to Text](https://fizzdoc.com/video-to-text/) · [Subtitle Generator](https://fizzdoc.com/subtitle-generator/) (SRT/VTT) — speech to text with OpenAI's Whisper running on your device; the model downloads once, then works offline | **Google Docs, Sheets and Slides** work too: download as .docx / .xlsx / .pptx and use the matching tool. Nothing is sent to Google. @@ -289,6 +290,10 @@ Fizzdoc would not exist without these open-source projects and the people who ma | [pdf.js](https://github.com/mozilla/pdf.js) | Renders pages, extracts text, powers the editor | [Mozilla](https://github.com/mozilla) and contributors | | [pdf-lib](https://github.com/Hopding/pdf-lib) | Writes and edits PDFs, stamps, the OCR text layer | [@Hopding](https://github.com/Hopding) | | [Tesseract](https://github.com/tesseract-ocr/tesseract) and [tesseract.js](https://github.com/naptha/tesseract.js) | Text recognition, compiled to WebAssembly | [tesseract-ocr](https://github.com/tesseract-ocr) and [naptha](https://github.com/naptha) | +| [BiRefNet](https://github.com/ZhengPeng7/BiRefNet) | The AI model that removes backgrounds (BiRefNet-lite, 512 px export by [studioludens](https://huggingface.co/studioludens/birefnet-lite-512)) | [@ZhengPeng7](https://github.com/ZhengPeng7) and co-authors | +| [U²-Net](https://github.com/xuebinqin/U-2-Net) | The light background model for phones with little memory | [@xuebinqin](https://github.com/xuebinqin) | +| [ONNX Runtime Web](https://github.com/microsoft/onnxruntime) | Runs the AI models in the browser, on the GPU (WebGPU) or CPU | [Microsoft](https://github.com/microsoft) and contributors | +| [Whisper](https://github.com/openai/whisper) and [Transformers.js](https://github.com/huggingface/transformers.js) | Speech to text, on the device | [OpenAI](https://github.com/openai) and [Hugging Face](https://github.com/huggingface) | | [fflate](https://github.com/101arrowz/fflate) | Reads and writes Word, Excel, PowerPoint and ZIP files | [@101arrowz](https://github.com/101arrowz) | | [Inter](https://github.com/rsms/inter) | The typeface | [@rsms](https://github.com/rsms) | | [Archify](https://github.com/tt-a1i/archify) | Generates the interactive architecture map | [@tt-a1i](https://github.com/tt-a1i) | diff --git a/THIRD_PARTY_NOTICES.md b/THIRD_PARTY_NOTICES.md index e31ece0..6391483 100644 --- a/THIRD_PARTY_NOTICES.md +++ b/THIRD_PARTY_NOTICES.md @@ -15,6 +15,7 @@ The deployed site ships these third-party components in `assets/`: | English language data (@tesseract.js-data/eng, tessdata 4.0.0 best_int) | Apache-2.0 data, MIT package | https://github.com/tesseract-ocr/tessdata | | Mermaid 12.0.0 (Mermaid to Image page only), bundling d3, dagre-d3-es, cytoscape, chevrotain, DOMPurify, KaTeX, marked, roughjs, dayjs, lodash-es, stylis, khroma, elkjs and others | MIT, ISC, BSD-3-Clause, Apache-2.0, Unlicense; DOMPurify used under Apache-2.0 (dual MPL-2.0 OR Apache-2.0); elkjs EPL-2.0, source at https://github.com/kieler/elkjs | https://github.com/mermaid-js/mermaid | | Whisper tiny speech model (OpenAI; ONNX conversion by onnx-community) and Transformers.js 4.3.0 with ONNX Runtime Web (Audio to Text pages only), bundling @huggingface/jinja, @huggingface/tokenizers, protobufjs, flatbuffers, long, guid-typescript, platform | Apache-2.0 (model, Transformers.js, tokenizers, flatbuffers, long); MIT (ONNX Runtime, jinja, platform); BSD-3-Clause (protobufjs); ISC (guid-typescript) | https://github.com/openai/whisper, https://github.com/huggingface/transformers.js, https://github.com/microsoft/onnxruntime | +| BiRefNet-lite background model (ZhengPeng7/BiRefNet; 512 px ONNX export by studioludens, weights stored as 16-bit) and U²-Net small (xuebinqin/U-2-Net; ONNX by BritishWerewolf), run with ONNX Runtime Web's WebGPU build (Remove Background page only) | MIT (BiRefNet, ONNX Runtime); Apache-2.0 (U²-Net) | https://github.com/ZhengPeng7/BiRefNet, https://github.com/xuebinqin/U-2-Net, https://github.com/microsoft/onnxruntime | | Inter typeface (@fontsource-variable/inter) | SIL Open Font License 1.1 | https://rsms.me/inter | | Archify (generator and runtime of `public/architecture.html`) | MIT | https://github.com/tt-a1i/archify | | JetBrains Mono typeface (embedded in `public/architecture.html`) | SIL Open Font License 1.1 | https://github.com/JetBrains/JetBrainsMono | diff --git a/docs/ARCHITECTURE.md b/docs/ARCHITECTURE.md index a4efa58..770f02a 100644 --- a/docs/ARCHITECTURE.md +++ b/docs/ARCHITECTURE.md @@ -77,6 +77,7 @@ sequenceDiagram | `src/engine/office.ts` | Word → print HTML, PDF → Word, PDF → PowerPoint | pdf.js, fflate | | `src/engine/ocr.ts` | English OCR for images and searchable PDFs | tesseract.js (self-hosted via `vite-plugins/ocr-assets.ts`), pdf-lib | | `src/engine/pdf-text.ts` | Rewrites changed lines inside the page content stream with the PDF's own font | pdf-lib | +| `src/engine/background.ts`, `matte.ts` | Remove Background: BiRefNet-lite (512 px) in a worker on WebGPU or the CPU, U²-Net small for low-memory phones; the mask is fitted to the full-size photo with a fast guided filter and edge colours are cleaned (blur-fusion), so output keeps the photo's resolution | ONNX Runtime Web | | `src/engine/transcribe.ts` | Speech to text, SRT and VTT with Whisper in a worker; model cached once in Cache Storage | transformers.js, ONNX Runtime | | `src/tools/edit-pdf.ts` | In-page PDF editor: change text, add text, white-out | pdf.js, pdf-lib, `pdf-text.ts` | | `src/tools/ocr-viewer.ts` | Image with selectable recognized text (Live Text style) | – | diff --git a/public/bg/birefnet-lite/manifest.json b/public/bg/birefnet-lite/manifest.json new file mode 100644 index 0000000..4cff603 --- /dev/null +++ b/public/bg/birefnet-lite/manifest.json @@ -0,0 +1,18 @@ +{ + "source": "https://huggingface.co/studioludens/birefnet-lite-512/tree/4a3c40c36c94093cc1e724d9ea428b8fa4b57dc7", + "license": "MIT", + "files": [ + { + "path": "model.onnx", + "size": 102785931, + "sha256": "9a62e3bee0d30df4686bc3d5e66011b8514ac4bf3e4aa39d0cce5175efb7636d", + "parts": [ + "model.onnx.part0", + "model.onnx.part1", + "model.onnx.part2", + "model.onnx.part3", + "model.onnx.part4" + ] + } + ] +} diff --git a/public/bg/birefnet-lite/model.onnx.part0 b/public/bg/birefnet-lite/model.onnx.part0 new file 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+*/bb/layers.2/blocks.5/attn/MatMul_output_0 +onnx::Add_20315'/bb/layers.2/blocks.5/attn/Add_output_0/bb/layers.2/blocks.5/attn/Add"Add + +*/bb/layers.2/blocks.5/attn/Gather_output_0 +,/bb/layers.2/blocks.1/attn/Gather_6_output_0)/bb/layers.2/blocks.5/attn/Div_1_output_0 /bb/layers.2/blocks.5/attn/Div_1"Div + +)/bb/layers.2/blocks.5/attn/Div_1_output_0*/bb/layers.2/blocks.5/attn/Cast_2_output_0!/bb/layers.2/blocks.5/attn/Cast_2"Cast* +to + +*/bb/layers.2/blocks.5/attn/Cast_2_output_0*/bb/layers.2/blocks.5/attn/Cast_3_output_0!/bb/layers.2/blocks.5/attn/Cast_3"Cast* +to +Konnx::Unsqueeze_6656 Constant_5380"Constant* +value*J + +*/bb/layers.2/blocks.5/attn/Cast_3_output_0 +onnx::Unsqueeze_6656//bb/layers.2/blocks.5/attn/Unsqueeze_3_output_0&/bb/layers.2/blocks.5/attn/Unsqueeze_3" Unsqueeze +Konnx::Unsqueeze_6658 Constant_5382"Constant* +value*J + +,/bb/layers.2/blocks.1/attn/Gather_6_output_0 +onnx::Unsqueeze_6658//bb/layers.2/blocks.5/attn/Unsqueeze_4_output_0&/bb/layers.2/blocks.5/attn/Unsqueeze_4" Unsqueeze +}./bb/layers.2/blocks.5/attn/Constant_7_output_0%/bb/layers.2/blocks.5/attn/Constant_7"Constant* +value*J  +Konnx::Unsqueeze_6662 Constant_5385"Constant* +value*J + +,/bb/layers.2/blocks.5/attn/Gather_1_output_0 +onnx::Unsqueeze_6662//bb/layers.2/blocks.5/attn/Unsqueeze_5_output_0&/bb/layers.2/blocks.5/attn/Unsqueeze_5" Unsqueeze +Konnx::Unsqueeze_6664 Constant_5387"Constant* +value*J + +,/bb/layers.2/blocks.5/attn/Gather_1_output_0 +onnx::Unsqueeze_6664//bb/layers.2/blocks.5/attn/Unsqueeze_6_output_0&/bb/layers.2/blocks.5/attn/Unsqueeze_6" Unsqueeze + +//bb/layers.2/blocks.5/attn/Unsqueeze_3_output_0 +//bb/layers.2/blocks.5/attn/Unsqueeze_4_output_0 +./bb/layers.2/blocks.5/attn/Constant_7_output_0 +//bb/layers.2/blocks.5/attn/Unsqueeze_5_output_0 +//bb/layers.2/blocks.5/attn/Unsqueeze_6_output_0,/bb/layers.2/blocks.5/attn/Concat_1_output_0#/bb/layers.2/blocks.5/attn/Concat_1"Concat* +axis + +'/bb/layers.2/blocks.5/attn/Add_output_0 +,/bb/layers.2/blocks.5/attn/Concat_1_output_0-/bb/layers.2/blocks.5/attn/Reshape_1_output_0$/bb/layers.2/blocks.5/attn/Reshape_1"Reshape* + allowzero + +-/bb/layers.2/blocks.5/attn/Reshape_1_output_0 +//bb/layers.2/blocks.1/attn/Unsqueeze_8_output_0)/bb/layers.2/blocks.5/attn/Add_1_output_0 /bb/layers.2/blocks.5/attn/Add_1"Add +}./bb/layers.2/blocks.5/attn/Constant_8_output_0%/bb/layers.2/blocks.5/attn/Constant_8"Constant* +value*J +}./bb/layers.2/blocks.5/attn/Constant_9_output_0%/bb/layers.2/blocks.5/attn/Constant_9"Constant* +value*J  +Konnx::Unsqueeze_6673 Constant_5394"Constant* +value*J + +,/bb/layers.2/blocks.5/attn/Gather_1_output_0 +onnx::Unsqueeze_6673//bb/layers.2/blocks.5/attn/Unsqueeze_7_output_0&/bb/layers.2/blocks.5/attn/Unsqueeze_7" Unsqueeze +Konnx::Unsqueeze_6675 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Transpose* +perm@@@@@ + +-/bb/layers.3/blocks.1/attn/Transpose_output_0 + /bb/layers.0/Constant_6_output_0,/bb/layers.3/blocks.1/attn/Gather_3_output_0#/bb/layers.3/blocks.1/attn/Gather_3"Gather* +axis + +-/bb/layers.3/blocks.1/attn/Transpose_output_0 +&/bb/patch_embed/proj/Constant_output_0,/bb/layers.3/blocks.1/attn/Gather_4_output_0#/bb/layers.3/blocks.1/attn/Gather_4"Gather* +axis + +-/bb/layers.3/blocks.1/attn/Transpose_output_0 +!/bb/patch_embed/Constant_output_0,/bb/layers.3/blocks.1/attn/Gather_5_output_0#/bb/layers.3/blocks.1/attn/Gather_5"Gather* +axis +w./bb/layers.3/blocks.1/attn/Constant_6_output_0%/bb/layers.3/blocks.1/attn/Constant_6"Constant* +value*J5> + +,/bb/layers.3/blocks.1/attn/Gather_3_output_0 +./bb/layers.3/blocks.1/attn/Constant_6_output_0'/bb/layers.3/blocks.1/attn/Mul_output_0/bb/layers.3/blocks.1/attn/Mul"Mul + +,/bb/layers.3/blocks.1/attn/Gather_4_output_0//bb/layers.3/blocks.1/attn/Transpose_1_output_0&/bb/layers.3/blocks.1/attn/Transpose_1" Transpose* 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+*/bb/layers.3/blocks.1/Constant_35_output_0!/bb/layers.3/blocks.1/Constant_35"Constant*2 +value*&J  + +,/bb/layers.3/blocks.1/attn/proj/Add_output_0 +*/bb/layers.3/blocks.1/Constant_35_output_0(/bb/layers.3/blocks.1/Reshape_6_output_0/bb/layers.3/blocks.1/Reshape_6"Reshape* + allowzero +s*/bb/layers.3/blocks.1/Constant_36_output_0!/bb/layers.3/blocks.1/Constant_36"Constant* +value* J + +'/bb/layers.3/blocks.1/Gather_1_output_0 +*/bb/layers.3/blocks.1/Constant_36_output_0$/bb/layers.3/blocks.1/Div_2_output_0/bb/layers.3/blocks.1/Div_2"Div +| +$/bb/layers.3/blocks.1/Div_2_output_0%/bb/layers.3/blocks.1/Cast_6_output_0/bb/layers.3/blocks.1/Cast_6"Cast* +to +} +%/bb/layers.3/blocks.1/Cast_6_output_0%/bb/layers.3/blocks.1/Cast_7_output_0/bb/layers.3/blocks.1/Cast_7"Cast* +to +s*/bb/layers.3/blocks.1/Constant_37_output_0!/bb/layers.3/blocks.1/Constant_37"Constant* +value* J + +'/bb/layers.3/blocks.1/Gather_2_output_0 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+1/bb/layers.2/blocks.5/attn_1/Unsqueeze_4_output_0 +0/bb/layers.2/blocks.5/attn_1/Constant_7_output_0 +1/bb/layers.2/blocks.5/attn_1/Unsqueeze_5_output_0 +1/bb/layers.2/blocks.5/attn_1/Unsqueeze_6_output_0./bb/layers.2/blocks.5/attn_1/Concat_1_output_0%/bb/layers.2/blocks.5/attn_1/Concat_1"Concat* +axis + +)/bb/layers.2/blocks.5/attn_1/Add_output_0 +./bb/layers.2/blocks.5/attn_1/Concat_1_output_0//bb/layers.2/blocks.5/attn_1/Reshape_1_output_0&/bb/layers.2/blocks.5/attn_1/Reshape_1"Reshape* + allowzero + +//bb/layers.2/blocks.5/attn_1/Reshape_1_output_0 +1/bb/layers.2/blocks.1/attn_1/Unsqueeze_8_output_0+/bb/layers.2/blocks.5/attn_1/Add_1_output_0"/bb/layers.2/blocks.5/attn_1/Add_1"Add +0/bb/layers.2/blocks.5/attn_1/Constant_8_output_0'/bb/layers.2/blocks.5/attn_1/Constant_8"Constant* +value*J +0/bb/layers.2/blocks.5/attn_1/Constant_9_output_0'/bb/layers.2/blocks.5/attn_1/Constant_9"Constant* +value*J  +Monnx::Unsqueeze_14667Constant_12778"Constant* +value*J + 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+onnx::Unsqueeze_163461/bb/layers.3/blocks.1/attn_1/Unsqueeze_1_output_0(/bb/layers.3/blocks.1/attn_1/Unsqueeze_1" Unsqueeze +0/bb/layers.3/blocks.1/attn_1/Constant_4_output_0'/bb/layers.3/blocks.1/attn_1/Constant_4"Constant* +value*J +0/bb/layers.3/blocks.1/attn_1/Constant_5_output_0'/bb/layers.3/blocks.1/attn_1/Constant_5"Constant* +value*J +Monnx::Unsqueeze_16352Constant_14378"Constant* +value*J + +,/bb/layers.3/blocks.1/attn_1/Cast_1_output_0 +onnx::Unsqueeze_163521/bb/layers.3/blocks.1/attn_1/Unsqueeze_2_output_0(/bb/layers.3/blocks.1/attn_1/Unsqueeze_2" Unsqueeze + +//bb/layers.3/blocks.1/attn_1/Unsqueeze_output_0 +1/bb/layers.3/blocks.1/attn_1/Unsqueeze_1_output_0 +0/bb/layers.3/blocks.1/attn_1/Constant_4_output_0 +0/bb/layers.3/blocks.1/attn_1/Constant_5_output_0 +1/bb/layers.3/blocks.1/attn_1/Unsqueeze_2_output_0,/bb/layers.3/blocks.1/attn_1/Concat_output_0#/bb/layers.3/blocks.1/attn_1/Concat"Concat* +axis + +-/bb/layers.3/blocks.1/attn/qkv_1/Add_output_0 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+1/bb/layers.3/blocks.1/attn_1/Unsqueeze_6_output_0./bb/layers.3/blocks.1/attn_1/Concat_1_output_0%/bb/layers.3/blocks.1/attn_1/Concat_1"Concat* +axis + +)/bb/layers.3/blocks.1/attn_1/Add_output_0 +./bb/layers.3/blocks.1/attn_1/Concat_1_output_0//bb/layers.3/blocks.1/attn_1/Reshape_1_output_0&/bb/layers.3/blocks.1/attn_1/Reshape_1"Reshape* + allowzero +0/bb/layers.3/blocks.1/attn_1/Constant_9_output_0'/bb/layers.3/blocks.1/attn_1/Constant_9"Constant* +value*J + +/bb/layers.3_1/Cast_48_output_0 +0/bb/layers.3/blocks.1/attn_1/Constant_9_output_01/bb/layers.3/blocks.1/attn_1/Unsqueeze_7_output_0(/bb/layers.3/blocks.1/attn_1/Unsqueeze_7" Unsqueeze +1/bb/layers.3/blocks.1/attn_1/Constant_10_output_0(/bb/layers.3/blocks.1/attn_1/Constant_10"Constant* +value*J + +1/bb/layers.3/blocks.1/attn_1/Unsqueeze_7_output_0 +1/bb/layers.3/blocks.1/attn_1/Constant_10_output_01/bb/layers.3/blocks.1/attn_1/Unsqueeze_8_output_0(/bb/layers.3/blocks.1/attn_1/Unsqueeze_8" Unsqueeze + 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+1/bb/layers.3/blocks.1/attn_1/Unsqueeze_9_output_0 +2/bb/layers.3/blocks.1/attn_1/Unsqueeze_10_output_0./bb/layers.3/blocks.1/attn_1/Concat_2_output_0%/bb/layers.3/blocks.1/attn_1/Concat_2"Concat* +axis + ++/bb/layers.3/blocks.1/attn_1/Add_1_output_0 +./bb/layers.3/blocks.1/attn_1/Concat_2_output_0//bb/layers.3/blocks.1/attn_1/Reshape_2_output_0&/bb/layers.3/blocks.1/attn_1/Reshape_2"Reshape* + allowzero + +//bb/layers.3/blocks.1/attn_1/Reshape_2_output_05/bb/layers.3/blocks.1/attn/softmax_1/Softmax_output_0,/bb/layers.3/blocks.1/attn/softmax_1/Softmax"Softmax* +axis + +5/bb/layers.3/blocks.1/attn/softmax_1/Softmax_output_0 +./bb/layers.3/blocks.1/attn_1/Gather_5_output_0./bb/layers.3/blocks.1/attn_1/MatMul_1_output_0%/bb/layers.3/blocks.1/attn_1/MatMul_1"MatMul + +./bb/layers.3/blocks.1/attn_1/MatMul_1_output_01/bb/layers.3/blocks.1/attn_1/Transpose_2_output_0(/bb/layers.3/blocks.1/attn_1/Transpose_2" Transpose* +perm@@@@ +Monnx::Unsqueeze_16401Constant_14424"Constant* +value*J + 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" X$# #K $Ds { tuZ"s!Wk ^!آKԣU NQcޡb""@! n-"$"$"$xc g!; r"%$£1lj^2o &[)U>d Р]OΙ !!#ϝS}-:itgI +raaDNp.8֚[v5NO!c S !![!," @"a!\!ĝwm +/"t ݒ7#E&!Zfp!G.?=Ǘ$tOl ; & +Y]!"r"&cT)zaҡ #%6f&"U!y2t֟XNO&>&%Ҡ2ZϡRnLcWI}ǝo )] ܡʐĠ PWw!M")ڤ̜ r$recC2#%V !"[$$!2$[m!#^!!r#$ "|uX"p#y0 " |7# <! \ No newline at end of file diff --git a/public/bg/birefnet-lite/model.onnx.part1 b/public/bg/birefnet-lite/model.onnx.part1 new file mode 100644 index 0000000..c4c5aa4 Binary files /dev/null and b/public/bg/birefnet-lite/model.onnx.part1 differ diff --git a/public/bg/birefnet-lite/model.onnx.part2 b/public/bg/birefnet-lite/model.onnx.part2 new file mode 100644 index 0000000..d768b62 Binary files /dev/null and b/public/bg/birefnet-lite/model.onnx.part2 differ diff --git a/public/bg/birefnet-lite/model.onnx.part3 b/public/bg/birefnet-lite/model.onnx.part3 new file mode 100644 index 0000000..cada5de Binary files /dev/null and b/public/bg/birefnet-lite/model.onnx.part3 differ diff --git a/public/bg/birefnet-lite/model.onnx.part4 b/public/bg/birefnet-lite/model.onnx.part4 new file mode 100644 index 0000000..d349be7 Binary files /dev/null and b/public/bg/birefnet-lite/model.onnx.part4 differ diff --git a/public/bg/u2netp/manifest.json b/public/bg/u2netp/manifest.json new file mode 100644 index 0000000..38aa02c --- /dev/null +++ b/public/bg/u2netp/manifest.json @@ -0,0 +1,14 @@ +{ + "source": "https://huggingface.co/BritishWerewolf/U-2-Netp/tree/7112208dbac3a3642496c8d54e2f0f9bb3dc1dc8", + "license": "Apache-2.0", + "files": [ + { + "path": "model.onnx", + "size": 4574861, + "sha256": "309c8469258dda742793dce0ebea8e6dd393174f89934733ecc8b14c76f4ddd8", + "parts": [ + "model.onnx" + ] + } + ] +} diff --git a/public/bg/u2netp/model.onnx b/public/bg/u2netp/model.onnx new file mode 100644 index 0000000..4f21f9a Binary files /dev/null and b/public/bg/u2netp/model.onnx differ diff --git a/public/third-party-licenses.txt b/public/third-party-licenses.txt index 5643bb6..b454c19 100644 --- a/public/third-party-licenses.txt +++ b/public/third-party-licenses.txt @@ -3967,6 +3967,44 @@ LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +============================================================================== +Remove Background (Remove Background page only) +============================================================================== + +BiRefNet-lite background removal model (MIT) — ZhengPeng7 — https://github.com/ZhengPeng7/BiRefNet + 512x512 ONNX export by studioludens, revision 4a3c40c36c94093cc1e724d9ea428b8fa4b57dc7 — + https://huggingface.co/studioludens/birefnet-lite-512 . Re-saved with weights stored as 16-bit + floats (scripts/background-model.py) and stored in parts under /bg/birefnet-lite/. + +MIT License + +Copyright (c) 2024 ZhengPeng + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. + +U^2-Net small (u2netp) background model (Apache-2.0) — Xuebin Qin et al. — https://github.com/xuebinqin/U-2-Net + ONNX file from https://huggingface.co/BritishWerewolf/U-2-Netp , revision + 7112208dbac3a3642496c8d54e2f0f9bb3dc1dc8. Stored under /bg/u2netp/. + The Apache License 2.0 text is reproduced above. + +ONNX Runtime Web, WebGPU build (MIT), served under /bg/ort/ — its license is reproduced below. + ============================================================================== Audio to Text (Audio to Text, MP3 to Text, Video to Text and Subtitle Generator pages only) ============================================================================== diff --git a/scripts/background-model.py b/scripts/background-model.py new file mode 100644 index 0000000..87e9af6 --- /dev/null +++ b/scripts/background-model.py @@ -0,0 +1,69 @@ +# Fetches the models used by Remove Background and stores them under public/bg/, split into parts +# small enough for static hosts (Cloudflare Pages serves files up to 25 MiB). The page joins the +# parts on first use and keeps the model in the browser's cache, so it downloads once. +# +# BiRefNet-lite is re-saved with its big weights stored as 16-bit floats and cast back to 32-bit +# when the model loads: the download is half the size, and it still runs on CPUs (WebAssembly), +# which can't compute in 16-bit. The answers differ from the 32-bit model only in the 4th decimal. +# +# Run: pip install onnx numpy && python3 scripts/background-model.py +# (only needed when changing a model or its revision) +import hashlib +import json +import pathlib +import shutil +import urllib.request + +import numpy as np +import onnx +from onnx import TensorProto, helper, numpy_helper + +OUT = pathlib.Path(__file__).resolve().parent.parent / 'public' / 'bg' +PART = 20 * 1024 * 1024 +MODELS = [ + # BiRefNet-lite (MIT, ZhengPeng7/BiRefNet) exported at 512x512 so it fits in browser memory. + ('birefnet-lite', 'studioludens/birefnet-lite-512', '4a3c40c36c94093cc1e724d9ea428b8fa4b57dc7', 'onnx/model.onnx', 'MIT', True), + # U^2-Net small (Apache-2.0, xuebinqin/U-2-Net): the light fallback for phones with little memory. + ('u2netp', 'BritishWerewolf/U-2-Netp', '7112208dbac3a3642496c8d54e2f0f9bb3dc1dc8', 'onnx/model.onnx', 'Apache-2.0', False), +] + + +def half_storage(model: onnx.ModelProto) -> onnx.ModelProto: + """Stores large float weights as float16, each followed by a Cast back to float32.""" + graph = model.graph + inits, casts = [], [] + for init in graph.initializer: + if init.data_type == TensorProto.FLOAT and np.prod(init.dims) >= 1024: + half = numpy_helper.from_array(numpy_helper.to_array(init).astype(np.float16), init.name + '__f16') + inits.append(half) + casts.append(helper.make_node('Cast', [half.name], [init.name], to=TensorProto.FLOAT, name=init.name + '__cast')) + else: + inits.append(init) + del graph.initializer[:] + graph.initializer.extend(inits) + nodes = list(graph.node) + del graph.node[:] + graph.node.extend(casts + nodes) + return model + + +for name, repo, revision, path, license_id, shrink in MODELS: + folder = OUT / name + shutil.rmtree(folder, ignore_errors=True) + folder.mkdir(parents=True) + with urllib.request.urlopen(f'https://huggingface.co/{repo}/resolve/{revision}/{path}') as response: + data = response.read() + if shrink: + data = half_storage(onnx.load_from_string(data)).SerializeToString() + parts = [] + for at in range(0, len(data), PART): + part = f'model.onnx.part{len(parts)}' if len(data) > PART else 'model.onnx' + (folder / part).write_bytes(data[at:at + PART]) + parts.append(part) + manifest = { + 'source': f'https://huggingface.co/{repo}/tree/{revision}', + 'license': license_id, + 'files': [{'path': 'model.onnx', 'size': len(data), 'sha256': hashlib.sha256(data).hexdigest(), 'parts': parts}], + } + (folder / 'manifest.json').write_text(json.dumps(manifest, indent=2) + '\n') + print(f'{name}: {len(data) / 1e6:.1f} MB in {len(parts)} part(s)') diff --git a/src/app.ts b/src/app.ts index 075736b..4f1f435 100644 --- a/src/app.ts +++ b/src/app.ts @@ -95,6 +95,7 @@ function setUp(op: ToolOp) { const EDITORS: Partial Promise>> = { 'edit-pdf': async (file, view) => (await import('./tools/edit-pdf')).openEditor(file, view), 'audio-split': async (file, view) => (await import('./tools/audio-split')).openSplitter(file, view), + 'remove-bg': async (file, view) => (await import('./tools/remove-bg')).openBackgroundEditor(file, view, options()), 'redact-pdf': async (file, view) => { const redactor = await (await import('./tools/redact-pdf')).openRedactor(file, view); return { save: (o, onProgress) => redactor.save(rasterOptions(o), onProgress), destroy: redactor.destroy }; @@ -184,6 +185,7 @@ function setUp(op: ToolOp) { }, 'edit-pdf': async (_, o) => (await editor!.ready).save(o, progressLabel), 'redact-pdf': async (_, o) => (await editor!.ready).save(o, progressLabel), + 'remove-bg': async (_, o) => (await editor!.ready).save(o, progressLabel), 'audio-split': async () => (await editor!.ready).save({}, progressLabel), 'audio-merge': async (f) => { const { parseAudio, write, formatTime, extension } = await import('./engine/audio'); diff --git a/src/engine/background-worker.ts b/src/engine/background-worker.ts new file mode 100644 index 0000000..cc635c8 --- /dev/null +++ b/src/engine/background-worker.ts @@ -0,0 +1,241 @@ +// Background removal, in a worker so the page stays responsive. Everything comes from our own +// origin: the models from /bg// and ONNX Runtime from /bg/ort/ (WebGPU build) or +// /whisper/ort/ (CPU build), all stored in parts and joined here. The first run downloads them +// into the browser's Cache Storage; later runs, even offline, load from there. +// +// The model sees the photo at 512x512 and returns a soft mask; matte.ts then fits it to the +// full-size photo, so the cut-out keeps the photo's own resolution. +import type * as Ort from 'onnxruntime-web'; +import { planesFromRGBA, refine } from './matte'; + +export type BackgroundModel = 'birefnet-lite' | 'u2netp'; +export type ToBackground = { type: 'run'; id: number; image: ImageBitmap } | { type: 'mask'; id: number; image: ImageBitmap }; +export type FromBackground = + | { type: 'setup'; loaded: number; total: number } + | { type: 'progress'; id: number; fraction: number } + /** The cut-out: the photo's pixels with the background made transparent, at full size. */ + | { type: 'done'; id: number; width: number; height: number; rgba: ArrayBuffer; model: BackgroundModel } + /** Just the model's mask, for video and GIF frames that are refined by the caller. */ + | { type: 'mask'; id: number; size: number; mask: Float32Array; model: BackgroundModel } + | { type: 'error'; id?: number; code: 'BG_SETUP_FAILED' | 'BACKGROUND_FAILED' }; + +const post = (message: FromBackground, transfer: Transferable[] = []) => (self as unknown as Worker).postMessage(message, transfer); + +// Bump when a model or the runtime changes, so old copies are dropped instead of mixed in. +const CACHE = 'fizzdoc-bg-1'; +const ORIGIN = self.location.origin; +const MODELS: Record = { + // BiRefNet-lite returns logits; U²-Net small returns 0–1 values that rembg stretches to the full range. + 'birefnet-lite': { size: 512, mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225], logits: true }, + u2netp: { size: 320, mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225], logits: false }, +}; +/** Long side of the reduced copy the refinement works on; the result is applied at full size. */ +const REFINE_SIZE = 1280; + +interface Manifest { + files: { path: string; size: number; parts: string[] }[]; +} +type Wanted = { url: string; size: number; parts: string[] }; + +async function listing(base: string): Promise { + const manifest: Manifest = await (await fetch(`${base}manifest.json`)).json(); + return manifest.files.map((file) => ({ url: `${base}${file.path}`, size: file.size, parts: file.parts.map((part) => `${base}${part}`) })); +} + +/** Downloads whatever isn't cached yet, joining parts and reporting bytes as they arrive. */ +async function fetchAll(cache: Cache, wanted: Wanted[]) { + const missing = []; + for (const file of wanted) if (!(await cache.match(file.url))) missing.push(file); + if (!missing.length) return; + const total = wanted.reduce((sum, file) => sum + file.size, 0); + let loaded = total - missing.reduce((sum, file) => sum + file.size, 0); + post({ type: 'setup', loaded, total }); + for (const file of missing) { + const chunks: Uint8Array[] = []; + for (const part of file.parts) { + const response = await fetch(part); + if (!response.ok || !response.body) throw new Error(`${part}: ${response.status}`); + const reader = response.body.getReader(); + for (let read = await reader.read(); !read.done; read = await reader.read()) { + chunks.push(read.value); + loaded += read.value.length; + post({ type: 'setup', loaded: Math.min(loaded, total), total }); + } + } + await cache.put(file.url, new Response(new Blob(chunks as BlobPart[]), { headers: { 'content-type': 'application/octet-stream' } })); + } + post({ type: 'setup', loaded: total, total }); +} + +const bytes = async (cache: Cache, url: string) => new Uint8Array(await (await cache.match(url))!.arrayBuffer()); + +/** WebGPU when the device has a usable GPU; the CPU otherwise. */ +async function hasGpu() { + try { + const gpu = (navigator as Navigator & { gpu?: { requestAdapter(): Promise } }).gpu; + return !!(gpu && (await gpu.requestAdapter())); + } catch { + return false; + } +} + +/** Phones with little memory get the small model straight away: the big one needs about 1.5 GB. */ +function pickModel(gpu: boolean): BackgroundModel { + const memory = (navigator as Navigator & { deviceMemory?: number }).deviceMemory; + return gpu || memory === undefined || memory >= 4 ? 'birefnet-lite' : 'u2netp'; +} + +interface Engine { + model: BackgroundModel; + gpu: boolean; + session: Ort.InferenceSession; + ort: typeof Ort; +} +let engine: Promise | undefined; + +async function start(model?: BackgroundModel, allowGpu = true): Promise { + const cache = await caches.open(CACHE); + const gpu = allowGpu && (await hasGpu()); + const chosen = model ?? pickModel(gpu); + const runtime = gpu ? `${ORIGIN}/bg/ort/` : `${ORIGIN}/whisper/ort/`; + const runtimeFiles: Wanted[] = gpu + ? await listing(runtime) + : [{ url: `${runtime}ort-wasm-simd-threaded.wasm`, size: 14_300_000, parts: [`${runtime}ort-wasm-simd-threaded.wasm`] }]; + const modelFiles = await listing(`${ORIGIN}/bg/${chosen}/`); + await fetchAll(cache, [...modelFiles, ...runtimeFiles]); + + const ort: typeof Ort = gpu ? await import('ort-webgpu') : await import('onnxruntime-web/wasm'); + // The runtime is handed its binary directly: its own loader would import it from a blob: URL, + // which the page's CSP rightly refuses. + ort.env.wasm.wasmBinary = await bytes(cache, runtimeFiles[0].url); + ort.env.wasm.wasmPaths = runtime; + ort.env.wasm.numThreads = self.crossOriginIsolated ? Math.min(4, Math.max(1, (navigator.hardwareConcurrency || 2) - 1)) : 1; + const modelBytes = await bytes(cache, modelFiles[0].url); + const create = (providers: string[]) => ort.InferenceSession.create(modelBytes, { executionProviders: providers, graphOptimizationLevel: 'all' }); + return { model: chosen, gpu, session: await create(gpu ? ['webgpu', 'wasm'] : ['wasm']), ort }; +} + +/** The model's 0–1 mask for the picture, at the model's own square size. */ +async function predict(engine: Engine, image: ImageBitmap): Promise { + const { size, mean, std, logits } = MODELS[engine.model]; + const canvas = new OffscreenCanvas(size, size); + const context = canvas.getContext('2d', { willReadFrequently: true })!; + context.imageSmoothingQuality = 'high'; + context.drawImage(image, 0, 0, size, size); + const pixels = context.getImageData(0, 0, size, size).data; + const n = size * size; + const input = new Float32Array(3 * n); + for (let i = 0; i < n; i++) { + for (let c = 0; c < 3; c++) input[c * n + i] = (pixels[i * 4 + c] / 255 - mean[c]) / std[c]; + } + const session = engine.session; + const outputs = await session.run({ [session.inputNames[0]]: new engine.ort.Tensor('float32', input, [1, 3, size, size]) }); + const raw = (await outputs[session.outputNames[0]].getData()) as Float32Array; + const mask = new Float32Array(n); + if (logits) { + for (let i = 0; i < n; i++) mask[i] = 1 / (1 + Math.exp(-raw[i])); + } else { + let lo = Infinity; + let hi = -Infinity; + for (let i = 0; i < n; i++) { + lo = Math.min(lo, raw[i]); + hi = Math.max(hi, raw[i]); + } + for (let i = 0; i < n; i++) mask[i] = (raw[i] - lo) / (hi - lo || 1); + } + for (const tensor of Object.values(outputs)) tensor.dispose(); + return mask; +} + +/** + * Runs the model. If the graphics chip can't (an unusual GPU or driver), the same model runs on the + * CPU; if that can't either (usually: not enough memory), the small model takes over. + */ +async function maskOf(image: ImageBitmap): Promise<{ mask: Float32Array; model: BackgroundModel }> { + const fallbacks: [BackgroundModel, boolean][] = []; + engine ??= start().catch((error) => { + // A GPU that can't even load the model: try the CPU before giving up. + engine = undefined; + throw error; + }); + let current: Engine; + try { + current = await engine; + } catch { + engine = start('birefnet-lite', false).catch(() => start('u2netp', false)); + current = await engine; + } + if (current.gpu && current.model === 'birefnet-lite') fallbacks.push(['birefnet-lite', false]); + if (current.model !== 'u2netp') fallbacks.push(['u2netp', false]); + for (;;) { + try { + return { mask: await predict(current, image), model: current.model }; + } catch (error) { + const next = fallbacks.shift(); + if (!next) throw error; + console.warn(`Background removal: ${current.model} on ${current.gpu ? 'GPU' : 'CPU'} failed, trying ${next[0]} on CPU`, error); + await current.session.release().catch(() => {}); + engine = start(...next); + current = await engine; + } + } +} + +/** Resizes a square mask to w×h, bilinearly, with pixel centres aligned as canvas scaling does. */ +function resizeMask(mask: Float32Array, size: number, w: number, h: number) { + const out = new Float32Array(w * h); + for (let y = 0; y < h; y++) { + const fy = Math.min(Math.max(((y + 0.5) * size) / h - 0.5, 0), size - 1); + const y0 = Math.floor(fy); + const y1 = Math.min(y0 + 1, size - 1); + const ty = fy - y0; + for (let x = 0; x < w; x++) { + const fx = Math.min(Math.max(((x + 0.5) * size) / w - 0.5, 0), size - 1); + const x0 = Math.floor(fx); + const x1 = Math.min(x0 + 1, size - 1); + const tx = fx - x0; + out[y * w + x] = + mask[y0 * size + x0] * (1 - tx) * (1 - ty) + mask[y0 * size + x1] * tx * (1 - ty) + mask[y1 * size + x0] * (1 - tx) * ty + mask[y1 * size + x1] * tx * ty; + } + } + return out; +} + +async function cutOut(id: number, image: ImageBitmap) { + const W = image.width; + const H = image.height; + post({ type: 'progress', id, fraction: 0.05 }); + const { mask, model } = await maskOf(image); + post({ type: 'progress', id, fraction: 0.7 }); + // A reduced copy for the refinement, and the full-size pixels it is applied to. + const scale = Math.min(1, REFINE_SIZE / Math.max(W, H)); + const w = Math.max(1, Math.round(W * scale)); + const h = Math.max(1, Math.round(H * scale)); + const smallCanvas = new OffscreenCanvas(w, h); + const smallContext = smallCanvas.getContext('2d', { willReadFrequently: true })!; + smallContext.imageSmoothingQuality = 'high'; + smallContext.drawImage(image, 0, 0, w, h); + const small = planesFromRGBA(smallContext.getImageData(0, 0, w, h).data, w, h); + const full = new OffscreenCanvas(W, H).getContext('2d', { willReadFrequently: true })!; + full.drawImage(image, 0, 0); + image.close(); + const rgba = full.getImageData(0, 0, W, H).data; + refine(rgba, W, H, small, resizeMask(mask, MODELS[model].size, w, h), MODELS[model].size); + post({ type: 'done', id, width: W, height: H, rgba: rgba.buffer as ArrayBuffer, model }, [rgba.buffer as ArrayBuffer]); +} + +self.onmessage = async ({ data }: MessageEvent) => { + try { + if (data.type === 'run') await cutOut(data.id, data.image); + else { + const { mask, model } = await maskOf(data.image); + data.image.close(); + post({ type: 'mask', id: data.id, size: MODELS[model].size, mask, model }, [mask.buffer]); + } + } catch (error) { + console.error(error); + const setup = !(await engine?.then(() => true, () => false)); + if (setup) engine = undefined; // let the next try download again + post({ type: 'error', id: data.id, code: setup ? 'BG_SETUP_FAILED' : 'BACKGROUND_FAILED' }); + } +}; diff --git a/src/engine/background.ts b/src/engine/background.ts new file mode 100644 index 0000000..b072357 --- /dev/null +++ b/src/engine/background.ts @@ -0,0 +1,121 @@ +// Remove Background, page side: hands pictures to background-worker.ts and puts the cut-out on a +// new backdrop (nothing, a colour, another photo, or the original photo blurred) at any size. +import { LocalError } from './local'; +import type { BackgroundModel, FromBackground, ToBackground } from './background-worker'; + +export interface Hooks { + /** First-run download of the model and runtime: bytes so far and in total. */ + onSetup?: (loaded: number, total: number) => void; + onProgress?: (fraction: number) => void; +} + +let worker: Worker | undefined; +let nextId = 0; +const pending = new Map void; reject: (error: Error) => void; hooks: Hooks }>(); + +function connect() { + if (worker) return worker; + worker = new Worker(new URL('./background-worker.ts', import.meta.url), { type: 'module' }); + worker.onmessage = ({ data }: MessageEvent) => { + if (data.type === 'setup') { + for (const job of pending.values()) job.hooks.onSetup?.(data.loaded, data.total); + return; + } + const job = data.id === undefined ? undefined : pending.get(data.id); + if (data.type === 'error') { + for (const [id, waiting] of pending) + if (data.id === undefined || id === data.id) { + pending.delete(id); + waiting.reject(new LocalError(data.code)); + } + return; + } + if (!job) return; + if (data.type === 'progress') return job.hooks.onProgress?.(data.fraction); + pending.delete(data.id); + job.resolve(data); + }; + worker.onerror = () => { + for (const job of pending.values()) job.reject(new LocalError('BG_SETUP_FAILED')); + pending.clear(); + worker = undefined; + }; + return worker; +} + +function ask(message: Omit, hooks: Hooks): Promise { + const id = nextId++; + return new Promise((resolve, reject) => { + pending.set(id, { resolve, reject, hooks }); + connect().postMessage({ ...message, id }, [message.image]); + }); +} + +/** The picture with its background made transparent, at the picture's full size. */ +export async function removeBackground(image: ImageBitmap, hooks: Hooks = {}): Promise<{ cutout: ImageData; model: BackgroundModel }> { + const answer = await ask({ type: 'run', image }, hooks); + if (answer.type !== 'done') throw new LocalError('BACKGROUND_FAILED'); + return { cutout: new ImageData(new Uint8ClampedArray(answer.rgba), answer.width, answer.height), model: answer.model }; +} + +/** Just the model's square mask (0–1), for video and GIF frames. */ +export async function maskOf(image: ImageBitmap, hooks: Hooks = {}): Promise<{ mask: Float32Array; size: number; model: BackgroundModel }> { + const answer = await ask({ type: 'mask', image }, hooks); + if (answer.type !== 'mask') throw new LocalError('BACKGROUND_FAILED'); + return answer; +} + +export type Backdrop = + | { kind: 'none' } + | { kind: 'color'; color: string } + | { kind: 'image'; image: ImageBitmap } + /** The original photo, blurred behind the subject; `amount` is a share of the picture's long side. */ + | { kind: 'blur'; amount: number }; + +type Canvas = HTMLCanvasElement | OffscreenCanvas; +type Context = CanvasRenderingContext2D | OffscreenCanvasRenderingContext2D; + +/** Draws `source` to fill w×h without stretching, cropping what sticks out (CSS "cover"). */ +function cover(context: Context, source: CanvasImageSource & { width: number; height: number }, w: number, h: number) { + const scale = Math.max(w / source.width, h / source.height); + const sw = w / scale; + const sh = h / scale; + context.drawImage(source, (source.width - sw) / 2, (source.height - sh) / 2, sw, sh, 0, 0, w, h); +} + +/** Paints the backdrop and the cut-out onto `canvas`, scaled to the canvas's size. */ +export function compose(canvas: Canvas, cutout: Canvas | ImageBitmap, photo: ImageBitmap, backdrop: Backdrop) { + const { width: w, height: h } = canvas; + const context = canvas.getContext('2d') as Context; + context.clearRect(0, 0, w, h); + context.imageSmoothingQuality = 'high'; + if (backdrop.kind === 'color') { + context.fillStyle = backdrop.color; + context.fillRect(0, 0, w, h); + } else if (backdrop.kind === 'image') { + cover(context, backdrop.image, w, h); + } else if (backdrop.kind === 'blur') { + // Drawn a little larger than the canvas so the blur doesn't fade to transparent at the edges. + const radius = Math.max(2, Math.round(Math.max(w, h) * backdrop.amount)); + context.filter = `blur(${radius}px)`; + context.drawImage(photo, -radius * 2, -radius * 2, w + radius * 4, h + radius * 4); + context.filter = 'none'; + } + context.drawImage(cutout, 0, 0, w, h); +} + +export type SaveFormat = 'png' | 'jpg' | 'webp'; +const TYPES: Record = { png: 'image/png', jpg: 'image/jpeg', webp: 'image/webp' }; + +/** The finished picture at w×h. JPG has no transparency, so a transparent backdrop becomes white. */ +export async function render(cutout: Canvas | ImageBitmap, photo: ImageBitmap, backdrop: Backdrop, w: number, h: number, format: SaveFormat) { + let canvas: OffscreenCanvas; + try { + canvas = new OffscreenCanvas(w, h); + if (!canvas.getContext('2d')) throw new Error('no context'); + } catch { + throw new LocalError('IMAGE_TOO_LARGE'); + } + compose(canvas, cutout, photo, format === 'jpg' && backdrop.kind === 'none' ? { kind: 'color', color: '#ffffff' } : backdrop); + return canvas.convertToBlob({ type: TYPES[format], quality: format === 'png' ? undefined : 0.92 }); +} diff --git a/src/engine/local.ts b/src/engine/local.ts index 0cf9d07..935d1b7 100644 --- a/src/engine/local.ts +++ b/src/engine/local.ts @@ -16,7 +16,8 @@ export class LocalError extends Error { readonly code: | 'NOT_OFFICE' | 'NO_IMAGES' | 'BAD_IMAGE' | 'PDF_PASSWORD' | 'INVALID_PDF' | 'BAD_SIZE' | 'BAD_SCALE' | 'TOO_LARGE' | 'BAD_TARGET' | 'TARGET_TOO_SMALL' | 'NO_TEXT' | 'NO_WATERMARK' | 'BAD_JSON' | 'BAD_JSON_AT' | 'SHEET_TOO_BIG' - | 'NO_DIAGRAM' | 'BAD_DIAGRAM' | 'NO_AUDIO_TRACK' | 'NO_SPEECH' | 'SETUP_FAILED' | 'TRANSCRIBE_FAILED', + | 'NO_DIAGRAM' | 'BAD_DIAGRAM' | 'NO_AUDIO_TRACK' | 'NO_SPEECH' | 'SETUP_FAILED' | 'TRANSCRIBE_FAILED' + | 'BG_SETUP_FAILED' | 'BACKGROUND_FAILED' | 'IMAGE_TOO_LARGE', /** Values for the message, e.g. { line: 3, column: 5 }. */ readonly vars?: Record, ) { diff --git a/src/engine/matte.ts b/src/engine/matte.ts new file mode 100644 index 0000000..9cbae70 --- /dev/null +++ b/src/engine/matte.ts @@ -0,0 +1,259 @@ +// Turns the model's low-resolution mask into a clean, full-resolution cut-out. +// +// The model sees the photo at 512x512, so its mask is soft and blocky at the edges. Two classic, +// fast filters fix that at any resolution while keeping memory to a few small working images: +// +// 1. Fast guided filter (He & Sun, 2015): fits the mask to the photo's own edges, so hair and fur +// follow the real strands. The fit is computed on a reduced copy and applied to every pixel. +// 2. Blur-fusion foreground estimation (Germer et al., 2021): edge pixels are a mix of subject and +// old background; this estimates the subject's true colour so no halo of the old background +// shows on a new one. Also computed small, then added to the full-size photo as a correction. +// +// Everything here is plain arithmetic on typed arrays, so it runs in a worker and in unit tests. + +/** Mean over a (2r+1)x(2r+1) window, clamped at the image edges. Planar, w*h values. */ +export function boxFilter(src: Float32Array, w: number, h: number, r: number, out = new Float32Array(w * h)): Float32Array { + const tmp = new Float32Array(w * h); + // Rows: running sum over x. + for (let y = 0; y < h; y++) { + const row = y * w; + let sum = 0; + for (let x = 0; x <= Math.min(r, w - 1); x++) sum += src[row + x]; + for (let x = 0; x < w; x++) { + const lo = x - r; + const hi = x + r; + tmp[row + x] = sum / (Math.min(hi, w - 1) - Math.max(lo, 0) + 1); + if (hi + 1 < w) sum += src[row + hi + 1]; + if (lo >= 0) sum -= src[row + lo]; + } + } + // Columns: running sum over y. + for (let x = 0; x < w; x++) { + let sum = 0; + for (let y = 0; y <= Math.min(r, h - 1); y++) sum += tmp[y * w + x]; + for (let y = 0; y < h; y++) { + const lo = y - r; + const hi = y + r; + out[y * w + x] = sum / (Math.min(hi, h - 1) - Math.max(lo, 0) + 1); + if (hi + 1 < h) sum += tmp[(hi + 1) * w + x]; + if (lo >= 0) sum -= tmp[lo * w + x]; + } + } + return out; +} + +/** A small working copy of the photo: three planes of 0–1 values. */ +export interface Planes { + w: number; + h: number; + r: Float32Array; + g: Float32Array; + b: Float32Array; +} + +export function planesFromRGBA(rgba: Uint8ClampedArray | Uint8Array, w: number, h: number): Planes { + const n = w * h; + const planes = { w, h, r: new Float32Array(n), g: new Float32Array(n), b: new Float32Array(n) }; + for (let i = 0; i < n; i++) { + planes.r[i] = rgba[i * 4] / 255; + planes.g[i] = rgba[i * 4 + 1] / 255; + planes.b[i] = rgba[i * 4 + 2] / 255; + } + return planes; +} + +/** Linear coefficients of the guided filter, already averaged: alpha ≈ a0·R + a1·G + a2·B + b. */ +export interface Fit { + w: number; + h: number; + a0: Float32Array; + a1: Float32Array; + a2: Float32Array; + b: Float32Array; +} + +/** Colour guided filter (He et al.) of `p` by the photo `I`, returned as smoothed coefficients. */ +export function guidedFit(I: Planes, p: Float32Array, radius: number, eps: number): Fit { + const { w, h } = I; + const n = w * h; + const box = (a: Float32Array) => boxFilter(a, w, h, radius); + const product = (a: Float32Array, b: Float32Array) => { + const out = new Float32Array(n); + for (let i = 0; i < n; i++) out[i] = a[i] * b[i]; + return out; + }; + const mr = box(I.r); + const mg = box(I.g); + const mb = box(I.b); + const mp = box(p); + const crp = box(product(I.r, p)); + const cgp = box(product(I.g, p)); + const cbp = box(product(I.b, p)); + const vrr = box(product(I.r, I.r)); + const vrg = box(product(I.r, I.g)); + const vrb = box(product(I.r, I.b)); + const vgg = box(product(I.g, I.g)); + const vgb = box(product(I.g, I.b)); + const vbb = box(product(I.b, I.b)); + const a0 = new Float32Array(n); + const a1 = new Float32Array(n); + const a2 = new Float32Array(n); + const b = new Float32Array(n); + for (let i = 0; i < n; i++) { + const r = mr[i]; + const g = mg[i]; + const bl = mb[i]; + const q = mp[i]; + const covR = crp[i] - r * q; + const covG = cgp[i] - g * q; + const covB = cbp[i] - bl * q; + // Covariance of the colours in the window, plus eps on the diagonal; solved by its inverse. + const s11 = vrr[i] - r * r + eps; + const s12 = vrg[i] - r * g; + const s13 = vrb[i] - r * bl; + const s22 = vgg[i] - g * g + eps; + const s23 = vgb[i] - g * bl; + const s33 = vbb[i] - bl * bl + eps; + const i11 = s22 * s33 - s23 * s23; + const i12 = s13 * s23 - s12 * s33; + const i13 = s12 * s23 - s13 * s22; + const i22 = s11 * s33 - s13 * s13; + const i23 = s12 * s13 - s11 * s23; + const i33 = s11 * s22 - s12 * s12; + const det = s11 * i11 + s12 * i12 + s13 * i13; + const x0 = (i11 * covR + i12 * covG + i13 * covB) / det; + const x1 = (i12 * covR + i22 * covG + i23 * covB) / det; + const x2 = (i13 * covR + i23 * covG + i33 * covB) / det; + a0[i] = x0; + a1[i] = x1; + a2[i] = x2; + b[i] = q - x0 * r - x1 * g - x2 * bl; + } + return { w, h, a0: box(a0), a1: box(a1), a2: box(a2), b: box(b) }; +} + +/** The filtered mask at the fit's own size, clamped to 0–1. */ +export function applyFit(fit: Fit, I: Planes): Float32Array { + const out = new Float32Array(fit.w * fit.h); + for (let i = 0; i < out.length; i++) { + const v = fit.a0[i] * I.r[i] + fit.a1[i] * I.g[i] + fit.a2[i] * I.b[i] + fit.b[i]; + out[i] = v < 0 ? 0 : v > 1 ? 1 : v; + } + return out; +} + +/** + * True subject colours behind semi-transparent edge pixels (blur fusion, two passes per radius). + * Returns the photo with those pixels' colours corrected; fully opaque areas are unchanged. + */ +export function estimateForeground(I: Planes, alpha: Float32Array, radius: number): Planes { + const { w, h } = I; + const n = w * h; + const box = (a: Float32Array) => boxFilter(a, w, h, radius); + const blurA = box(alpha); + const inv = new Float32Array(n); + for (let i = 0; i < n; i++) inv[i] = 1 - alpha[i]; + const blurInv = box(inv); + let F: Planes = { w, h, r: I.r.slice(), g: I.g.slice(), b: I.b.slice() }; + let B: Planes = { w, h, r: I.r.slice(), g: I.g.slice(), b: I.b.slice() }; + for (let pass = 0; pass < 2; pass++) { + const next: Planes = { w, h, r: new Float32Array(n), g: new Float32Array(n), b: new Float32Array(n) }; + const nextB: Planes = { w, h, r: new Float32Array(n), g: new Float32Array(n), b: new Float32Array(n) }; + for (const c of ['r', 'g', 'b'] as const) { + const fa = new Float32Array(n); + const bb = new Float32Array(n); + for (let i = 0; i < n; i++) { + fa[i] = F[c][i] * alpha[i]; + bb[i] = B[c][i] * inv[i]; + } + const blurF = box(fa); + const blurB = box(bb); + for (let i = 0; i < n; i++) { + const f = blurF[i] / (blurA[i] + 1e-5); + const bg = blurB[i] / (blurInv[i] + 1e-5); + const a = alpha[i]; + const v = f + a * (I[c][i] - a * f - (1 - a) * bg); + next[c][i] = v < 0 ? 0 : v > 1 ? 1 : v; + nextB[c][i] = bg; + } + } + F = next; + B = nextB; + } + return F; +} + +/** + * Writes the cut-out into the full-size photo, in place: the alpha channel from the fit, and edge + * colours shifted by the small foreground correction (fg − photo), both sampled bilinearly. + */ +export function applyFullSize(rgba: Uint8ClampedArray, W: number, H: number, fit: Fit, small: Planes, fg: Planes) { + const { w, h } = fit; + const n = w * h; + const dr = new Float32Array(n); + const dg = new Float32Array(n); + const db = new Float32Array(n); + for (let i = 0; i < n; i++) { + dr[i] = fg.r[i] - small.r[i]; + dg[i] = fg.g[i] - small.g[i]; + db[i] = fg.b[i] - small.b[i]; + } + const sx = w / W; + const sy = h / H; + for (let y = 0; y < H; y++) { + // Pixel centres, as canvas downscaling and bilinear upscaling both use. + const fy = Math.min(Math.max((y + 0.5) * sy - 0.5, 0), h - 1); + const y0 = Math.floor(fy); + const y1 = Math.min(y0 + 1, h - 1); + const ty = fy - y0; + for (let x = 0; x < W; x++) { + const fx = Math.min(Math.max((x + 0.5) * sx - 0.5, 0), w - 1); + const x0 = Math.floor(fx); + const x1 = Math.min(x0 + 1, w - 1); + const tx = fx - x0; + const i00 = y0 * w + x0; + const i01 = y0 * w + x1; + const i10 = y1 * w + x0; + const i11 = y1 * w + x1; + const w00 = (1 - tx) * (1 - ty); + const w01 = tx * (1 - ty); + const w10 = (1 - tx) * ty; + const w11 = tx * ty; + const sample = (a: Float32Array) => a[i00] * w00 + a[i01] * w01 + a[i10] * w10 + a[i11] * w11; + const o = (y * W + x) * 4; + const R = rgba[o] / 255; + const G = rgba[o + 1] / 255; + const B = rgba[o + 2] / 255; + let alpha = sample(fit.a0) * R + sample(fit.a1) * G + sample(fit.a2) * B + sample(fit.b); + alpha = alpha < 0 ? 0 : alpha > 1 ? 1 : alpha; + rgba[o + 3] = Math.round(alpha * 255); + if (alpha > 0 && alpha < 0.996) { + rgba[o] = Math.round((R + sample(dr)) * 255); + rgba[o + 1] = Math.round((G + sample(dg)) * 255); + rgba[o + 2] = Math.round((B + sample(db)) * 255); + } + } + } +} + +/** + * Doubles the mask's contrast around 0.5. The model's mask, enlarged, is soft at every edge; this + * firms solid edges up before the guided filter, while fine strands of hair keep their in-between + * values. (Tested on portraits: 2 kept flyaway hairs, 3 started to lose them.) + */ +export function firm(mask: Float32Array, contrast = 2): Float32Array { + return mask.map((v) => Math.min(1, Math.max(0, (v - 0.5) * contrast + 0.5))); +} + +/** + * The whole refinement: `rgba` is the full-size photo (changed in place into the cut-out), `small` + * a reduced copy of it, and `mask` the model's 0–1 mask already resized to the small copy's size. + */ +export function refine(rgba: Uint8ClampedArray, W: number, H: number, small: Planes, mask: Float32Array, modelSize: number) { + // Window sizes scale with how much bigger the small copy is than the model's view. + const scale = Math.max(small.w, small.h) / modelSize; + const fit = guidedFit(small, firm(mask), Math.max(1, Math.round(1.5 * scale)), 1e-5); + const alpha = applyFit(fit, small); + const fg = estimateForeground(small, alpha, Math.max(2, Math.round(2 * scale))); + applyFullSize(rgba, W, H, fit, small, fg); +} diff --git a/src/i18n.ts b/src/i18n.ts index abbae9d..acf8700 100644 --- a/src/i18n.ts +++ b/src/i18n.ts @@ -129,6 +129,7 @@ export const UI = { 'ws.fmtJpeg': 'JPG — photos, opens everywhere', 'ws.fmtWebp': 'WebP — smallest', 'ws.fmtPng': 'PNG — lossless', + 'ws.fmtAuto': 'Best fit: PNG if the background is clear, JPG otherwise', 'ws.quality': 'Quality', 'ws.width': 'Width (px)', 'ws.height': 'Height (px)', @@ -237,6 +238,9 @@ export const UI = { 'error.NO_SPEECH': 'No speech was found in this file.', 'error.SETUP_FAILED': 'The speech model couldn’t be loaded. Check your internet connection for the one-time download, then try again.', 'error.TRANSCRIBE_FAILED': 'Transcription stopped unexpectedly. Try a shorter file, or a laptop for long recordings.', + 'error.BG_SETUP_FAILED': 'The background remover couldn’t be loaded. Check your internet connection for the one-time download, then try again.', + 'error.BACKGROUND_FAILED': 'Removing the background stopped unexpectedly, usually because this device ran out of memory. Try a smaller picture, or close other tabs and try again.', + 'error.IMAGE_TOO_LARGE': 'This picture is too big for this browser to save at that size. Choose a smaller size under “Size”.', 'error.NO_DIAGRAM': 'Paste your Mermaid code, or choose a .mmd or .md file.', 'error.BAD_DIAGRAM': 'The diagram code has a mistake: {detail}', 'error.ENGINE_FAILED': 'The PDF engine stopped unexpectedly — the file may be too large for this device.', @@ -300,6 +304,32 @@ export const UI = { 'rd.draw': 'Draw boxes', 'rd.touchHint': 'On a touch screen, swipe to scroll. Tap “Draw boxes” to mark with your finger, and tap it again to scroll.', 'rd.hint': 'Drag on a page to cover anything: text, a signature, a photo. When you save, every page becomes an image, so what you covered is gone for good. The text you didn’t cover stays searchable.', + 'bg.previewLabel': 'Your picture with its new background', + 'bg.preparing': 'Getting the background remover ready: {loaded} of {total} MB. This download happens only once.', + 'bg.working': 'Removing the background… {pct}%', + 'bg.lite': 'This device has little memory, so a lighter model was used. A laptop gives cleaner edges.', + 'bg.compare': 'Hold to see the original', + 'bg.background': 'Background', + 'bg.none': 'None', + 'bg.white': 'White', + 'bg.black': 'Black', + 'bg.blue': 'Blue', + 'bg.red': 'Red', + 'bg.green': 'Green', + 'bg.gray': 'Grey', + 'bg.custom': 'Any colour', + 'bg.photo': 'Your photo', + 'bg.blur': 'Blur', + 'bg.size': 'Size', + 'bg.original': 'Original size ({w} × {h} px)', + 'bg.widthOption': '{w} × {h} px', + 'bg.customSize': 'Custom width…', + 'bg.widthLabel': 'Width in pixels', + 'bg.touch': 'Touch up (if needed)', + 'bg.touchHint': 'Missed a spot? Pick Erase or Restore, then paint over it on the picture.', + 'bg.erase': 'Erase', + 'bg.restore': 'Restore', + 'bg.brush': 'Brush size', 'ocr.unsure': 'Some of this text may be wrong. Text recognition reads English that is upright: rotate sideways photos first, and expect other scripts to come out garbled.', 'ocr.copyAll': 'Copy all text', 'ocr.copied': 'Copied', diff --git a/src/i18n/bn.json b/src/i18n/bn.json index d683670..bf8d3bf 100644 --- a/src/i18n/bn.json +++ b/src/i18n/bn.json @@ -96,6 +96,7 @@ "ws.fmtJpeg": "JPG — ছবির জন্য, সবখানে খোলে", "ws.fmtWebp": "WebP — সবচেয়ে ছোট", "ws.fmtPng": "PNG — লসলেস", + "ws.fmtAuto": "সবচেয়ে ভালো: ব্যাকগ্রাউন্ড স্বচ্ছ হলে PNG, নইলে JPG", "ws.quality": "মান", "ws.width": "প্রস্থ (px)", "ws.height": "উচ্চতা (px)", @@ -182,6 +183,9 @@ "error.BAD_JSON": "এই ফাইলটা বৈধ JSON নয়। কোনো কমা, কোট বা ব্র্যাকেট বাদ পড়েছে কি না দেখে নিন।", "error.BAD_JSON_AT": "এই ফাইলটা বৈধ JSON নয়: লাইন {line}, কলাম {column}-এর কাছে সমস্যা আছে। কোনো কমা, কোট বা ব্র্যাকেট বাদ পড়েছে কি না দেখে নিন।", "error.SHEET_TOO_BIG": "এটা একটা Excel শিটের ধারণক্ষমতার (1,048,576 সারি ও 16,384 কলাম) চেয়ে বেশি। ডেটা ছোট ফাইলে ভাগ করে নিন।", + "error.BG_SETUP_FAILED": "ব্যাকগ্রাউন্ড সরানোর টুল লোড করা যায়নি। একবারের ডাউনলোডের জন্য আপনার ইন্টারনেট দেখে নিন, তারপর আবার চেষ্টা করুন।", + "error.BACKGROUND_FAILED": "ব্যাকগ্রাউন্ড সরানো হঠাৎ থেমে গেছে, সাধারণত এই ডিভাইসের মেমরি ফুরিয়ে যাওয়ায়। ছোট ছবি বেছে নিন, বা অন্য ট্যাব বন্ধ করে আবার চেষ্টা করুন।", + "error.IMAGE_TOO_LARGE": "এই ছবিটি ওই সাইজে সেভ করার জন্য এই ব্রাউজারের কাছে খুব বড়। “সাইজ” থেকে ছোট সাইজ বেছে নিন।", "error.NO_DIAGRAM": "আপনার Mermaid কোড পেস্ট করুন, অথবা একটা .mmd বা .md ফাইল বেছে নিন।", "error.BAD_DIAGRAM": "ডায়াগ্রাম কোডে ভুল আছে: {detail}", "error.ENGINE_FAILED": "PDF ইঞ্জিন হঠাৎ বন্ধ হয়ে গেছে — ফাইলটি এই ডিভাইসের জন্য খুব বড় হতে পারে।", @@ -225,6 +229,32 @@ "ed.removeBox": "টেক্সট বক্স সরান", "ed.replaced": "কিছু অক্ষর স্ট্যান্ডার্ড PDF ফন্টে সাপোর্টেড নয়, তাই বদলে দেওয়া হয়েছে।", "ed.hint": "আপনার টাইপ করা সব অক্ষর থাকলে বদলানো লাইন PDF-এর নিজের ফন্টই রাখে; না থাকলে ঢেকে আবার লেখা হয়। সাদা করে ঢাকলে শুধু লুকানো হয় — সংবেদনশীল তথ্যের জন্য PDF রিডাক্ট করুন ব্যবহার করুন।", + "bg.previewLabel": "নতুন ব্যাকগ্রাউন্ডসহ আপনার ছবি", + "bg.preparing": "ব্যাকগ্রাউন্ড সরানোর টুল তৈরি হচ্ছে: {total} MB-এর মধ্যে {loaded} MB। এই ডাউনলোড শুধু একবারই হয়।", + "bg.working": "ব্যাকগ্রাউন্ড সরানো হচ্ছে… {pct}%", + "bg.lite": "এই ডিভাইসে মেমরি কম, তাই হালকা মডেল ব্যবহার হয়েছে। ল্যাপটপে কিনারা আরও পরিষ্কার আসে।", + "bg.compare": "আসল ছবি দেখতে চেপে ধরে রাখুন", + "bg.background": "ব্যাকগ্রাউন্ড", + "bg.none": "কিছু না", + "bg.white": "সাদা", + "bg.black": "কালো", + "bg.blue": "নীল", + "bg.red": "লাল", + "bg.green": "সবুজ", + "bg.gray": "ধূসর", + "bg.custom": "যেকোনো রং", + "bg.photo": "আপনার ছবি", + "bg.blur": "ঝাপসা", + "bg.size": "সাইজ", + "bg.original": "আসল সাইজ ({w} × {h} px)", + "bg.widthOption": "{w} × {h} px", + "bg.customSize": "নিজের প্রস্থ…", + "bg.widthLabel": "প্রস্থ (পিক্সেলে)", + "bg.touch": "ঠিক করুন (দরকার হলে)", + "bg.touchHint": "কোনো জায়গা বাদ পড়েছে? মুছুন বা ফিরিয়ে আনুন বেছে নিন, তারপর ছবির ওপর আঙুল বা মাউস বুলান।", + "bg.erase": "মুছুন", + "bg.restore": "ফিরিয়ে আনুন", + "bg.brush": "ব্রাশের সাইজ", "ocr.unsure": "এই লেখার কিছু অংশ ভুল হতে পারে। টেক্সট শনাক্তকরণ সোজা রাখা ইংরেজি লেখা পড়ে: কাত হওয়া ছবি আগে ঘুরিয়ে নিন, আর অন্য লিপিতে এলোমেলো ফল আসতে পারে।", "ocr.copyAll": "সব টেক্সট কপি করুন", "ocr.copied": "কপি হয়েছে", @@ -1661,6 +1691,45 @@ "মোবাইল ছবি থেকে টেক্সট কপি করুন" ] }, + "remove-background": { + "name": "ব্যাকগ্রাউন্ড সরান", + "summary": "কোনো মানুষ, জিনিস বা পোষা প্রাণীকে কেটে আলাদা করুন এবং পেছনে যা খুশি বসান।", + "action": "ছবি ডাউনলোড করুন", + "title": "ছবির ব্যাকগ্রাউন্ড সরান ফ্রি — আপলোড ছাড়া | Fizzdoc", + "description": "যেকোনো ছবির ব্যাকগ্রাউন্ড বিনামূল্যে সরান, পুরো রেজোলিউশনে: স্বচ্ছ PNG, সাদা, যেকোনো রং বা নিজের ছবি। কিছুই আপলোড হয় না।", + "h1": "যেকোনো ছবির ব্যাকগ্রাউন্ড সরান", + "lede": "একটি ছবি বেছে নিন, ব্যাকগ্রাউন্ড নিজে থেকেই মুছে যাবে। স্বচ্ছ রাখুন, বা পেছনে সাদা, যেকোনো রং, হালকা ঝাপসা ভাব বা অন্য ছবি বসান। AI আপনার নিজের ডিভাইসেই চলে, তাই আপনার ছবি কোথাও যায় না।", + "steps": [ + "একটি ছবি বেছে নিন। ব্যাকগ্রাউন্ড সঙ্গে সঙ্গে সরে যায়।", + "পেছনে কী থাকবে বেছে নিন: কিছু না, রং, ঝাপসা বা নিজের ছবি। দরকার হলে কোনো জায়গা ঠিক করুন।", + "সাইজ বেছে নিন, তারপর “ছবি ডাউনলোড করুন”-এ ক্লিক করুন।" + ], + "faq": [ + [ + "আমার ফাইল কি কোথাও আপলোড হয়?", + "না। Fizzdoc পুরো কাজটা আপনার ব্রাউজার ট্যাবের ভেতরেই করে, WebAssembly ও JavaScript-এ কম্পাইল করা ওপেন-সোর্স ইঞ্জিন ব্যবহার করে। আপনার ফাইল আপনার ডিভাইস থেকে পড়া হয়, লোকালি প্রসেস হয়, আর ফলাফল সরাসরি আপনার ডিভাইসেই সেভ হয়। আপনি নিজেই যাচাই করতে পারেন: ব্রাউজারের ডেভেলপার টুলস খুলুন, Network ট্যাবে যান আর একটা কাজ চালান — কোনো রিকোয়েস্টে আপনার ফাইল যায় না।" + ], + [ + "আমার ছবির মান কি কমে যাবে?", + "না। কাটা ছবি তার পুরো রেজোলিউশন ধরে রাখে, Fizzdoc-এর তরফে সাইজের কোনো সীমা নেই। চুল ও লোমের কিনারা পুরো সাইজেই পরিষ্কার করা হয়, তাই যেকোনো নতুন ব্যাকগ্রাউন্ডে স্বাভাবিক দেখায়। চাইলে ছোট কপিও সেভ করতে পারেন।" + ], + [ + "আপলোড ছাড়া এটা কীভাবে কাজ করে?", + "একটি ওপেন-সোর্স AI মডেল (BiRefNet) আপনার ব্রাউজারের ভেতরেই চলে, ডিভাইসে গ্রাফিক্স চিপ থাকলে সেটিতেই। এটি একবার প্রায় 110 MB ডাউনলোড হয়, তারপর অফলাইনেও কাজ করে। কম মেমরির ফোনে ছোট মডেল (U²-Net) ব্যবহার হয়।" + ], + [ + "Fizzdoc কি ফ্রি?", + "হ্যাঁ, আর এটা সবসময় ফ্রি থাকবে: কোনো সাইন-আপ নেই, ওয়াটারমার্ক নেই, দৈনিক সীমা নেই, আর কোনো প্রিমিয়াম প্ল্যানও নেই। Fizzdoc Apache-2.0 লাইসেন্সের অধীনে ওপেন সোর্স, তাই যে কেউ নিজের কপি চালাতে পারে।" + ] + ], + "keywords": [ + "ছবির ব্যাকগ্রাউন্ড সরান", + "ব্যাকগ্রাউন্ড রিমুভ ফ্রি", + "ছবির ব্যাকগ্রাউন্ড সাদা করুন", + "আপলোড ছাড়া ব্যাকগ্রাউন্ড মুছুন", + "remove bg" + ] + }, "png-to-jpg": { "name": "PNG থেকে JPG", "summary": "একসাথে অনেক PNG ছবি JPG-তে কনভার্ট করুন।", diff --git a/src/i18n/de.json b/src/i18n/de.json index 0b6bb09..2c04f21 100644 --- a/src/i18n/de.json +++ b/src/i18n/de.json @@ -96,6 +96,7 @@ "ws.fmtJpeg": "JPG — Fotos, öffnet überall", "ws.fmtWebp": "WebP — kleinste Datei", "ws.fmtPng": "PNG — verlustfrei", + "ws.fmtAuto": "Beste Wahl: PNG bei transparentem Hintergrund, sonst JPG", "ws.quality": "Qualität", "ws.width": "Breite (px)", "ws.height": "Höhe (px)", @@ -182,6 +183,9 @@ "error.BAD_JSON": "Diese Datei ist kein gültiges JSON. Prüfe, ob ein Komma, Anführungszeichen oder eine Klammer fehlt.", "error.BAD_JSON_AT": "Diese Datei ist kein gültiges JSON: In der Nähe von Zeile {line}, Spalte {column} gibt es ein Problem. Prüfe, ob ein Komma, Anführungszeichen oder eine Klammer fehlt.", "error.SHEET_TOO_BIG": "Das ist mehr, als in ein Excel-Tabellenblatt passt (1.048.576 Zeilen und 16.384 Spalten). Teile die Daten auf kleinere Dateien auf.", + "error.BG_SETUP_FAILED": "Der Hintergrund-Entferner konnte nicht geladen werden. Prüfen Sie Ihre Internetverbindung für den einmaligen Download und versuchen Sie es dann erneut.", + "error.BACKGROUND_FAILED": "Das Entfernen des Hintergrunds wurde unerwartet abgebrochen, meist weil diesem Gerät der Speicher ausgegangen ist. Nehmen Sie ein kleineres Foto oder schließen Sie andere Tabs und versuchen Sie es erneut.", + "error.IMAGE_TOO_LARGE": "Dieses Foto ist zu groß, als dass dieser Browser es in dieser Größe speichern könnte. Wählen Sie unter „Größe“ eine kleinere Größe.", "error.NO_DIAGRAM": "Fügen Sie Ihren Mermaid-Code ein oder wählen Sie eine .mmd- oder .md-Datei.", "error.BAD_DIAGRAM": "Der Diagrammcode enthält einen Fehler: {detail}", "error.ENGINE_FAILED": "Die PDF-Engine wurde unerwartet beendet — die Datei ist für dieses Gerät möglicherweise zu groß.", @@ -225,6 +229,32 @@ "ed.removeBox": "Textfeld entfernen", "ed.replaced": "Einige Zeichen werden von den Standard-PDF-Schriften nicht unterstützt und wurden ersetzt.", "ed.hint": "Geänderte Zeilen behalten die Schrift des PDFs, wenn sie alle getippten Buchstaben enthält; sonst werden sie überdeckt und neu geschrieben. Weiß überdecken verbirgt nur – für vertrauliche Daten nutzen Sie PDF schwärzen.", + "bg.previewLabel": "Ihr Foto mit dem neuen Hintergrund", + "bg.preparing": "Der Hintergrund-Entferner wird vorbereitet: {loaded} von {total} MB. Dieser Download passiert nur einmal.", + "bg.working": "Hintergrund wird entfernt… {pct} %", + "bg.lite": "Dieses Gerät hat wenig Speicher, deshalb wurde ein leichteres Modell verwendet. Ein Laptop liefert saubere Kanten.", + "bg.compare": "Gedrückt halten, um das Original zu sehen", + "bg.background": "Hintergrund", + "bg.none": "Keiner", + "bg.white": "Weiß", + "bg.black": "Schwarz", + "bg.blue": "Blau", + "bg.red": "Rot", + "bg.green": "Grün", + "bg.gray": "Grau", + "bg.custom": "Beliebige Farbe", + "bg.photo": "Ihr Foto", + "bg.blur": "Weichzeichnen", + "bg.size": "Größe", + "bg.original": "Originalgröße ({w} × {h} px)", + "bg.widthOption": "{w} × {h} px", + "bg.customSize": "Eigene Breite…", + "bg.widthLabel": "Breite in Pixeln", + "bg.touch": "Nachbessern (falls nötig)", + "bg.touchHint": "Eine Stelle übersehen? Wählen Sie Radieren oder Wiederherstellen und fahren Sie dann auf dem Foto mit dem Finger oder der Maus darüber.", + "bg.erase": "Radieren", + "bg.restore": "Wiederherstellen", + "bg.brush": "Pinselgröße", "ocr.unsure": "Ein Teil dieses Textes kann falsch sein. Die Texterkennung liest aufrechten englischen Text: Drehen Sie seitliche Fotos zuerst, andere Schriften kommen verfälscht heraus.", "ocr.copyAll": "Gesamten Text kopieren", "ocr.copied": "Kopiert", @@ -1661,6 +1691,45 @@ "text aus einem handyfoto kopieren" ] }, + "remove-background": { + "name": "Hintergrund Entfernen", + "summary": "Schneiden Sie eine Person, ein Produkt oder ein Haustier frei und setzen Sie beliebig etwas dahinter.", + "action": "Bild herunterladen", + "title": "Bildhintergrund Entfernen Kostenlos — Ohne Upload | Fizzdoc", + "description": "Entfernen Sie den Hintergrund jedes Fotos kostenlos in voller Auflösung: transparentes PNG, Weiß, jede Farbe oder Ihr eigenes Foto. Es wird nichts hochgeladen.", + "h1": "Hintergrund von jedem Foto entfernen", + "lede": "Wählen Sie ein Foto, und der Hintergrund verschwindet von selbst. Lassen Sie ihn transparent oder setzen Sie Weiß, eine beliebige Farbe, einen weichen Blur oder ein anderes Foto dahinter. Die KI läuft auf Ihrem eigenen Gerät, Ihr Foto verlässt es also nie.", + "steps": [ + "Wählen Sie ein Foto. Der Hintergrund wird sofort entfernt.", + "Wählen Sie, was dahinter kommt: nichts, eine Farbe, Blur oder Ihr eigenes Foto. Bessern Sie bei Bedarf eine Stelle nach.", + "Wählen Sie die Größe und klicken Sie auf „Bild herunterladen“." + ], + "faq": [ + [ + "Werden meine Dateien irgendwohin hochgeladen?", + "Nein. Fizzdoc erledigt die Arbeit direkt in Ihrem Browser-Tab, mit Open-Source-Engines, die zu WebAssembly und JavaScript kompiliert sind. Ihre Datei wird von Ihrem Gerät gelesen, lokal verarbeitet, und das Ergebnis wird direkt wieder auf Ihrem Gerät gespeichert. Sie können das selbst überprüfen: Öffnen Sie die Entwicklertools Ihres Browsers, wechseln Sie zum Netzwerk-Tab und führen Sie einen Vorgang aus — keine Anfrage enthält Ihre Datei." + ], + [ + "Verliert mein Foto an Qualität?", + "Nein. Der Ausschnitt behält die volle Auflösung Ihres Fotos, ohne Größenbegrenzung durch Fizzdoc. Haar- und Fellkanten werden in voller Größe bereinigt, damit sie auf jedem neuen Hintergrund natürlich wirken. Sie können auch eine kleinere Kopie speichern." + ], + [ + "Wie funktioniert das ohne Upload?", + "Ein quelloffenes KI-Modell (BiRefNet) läuft direkt in Ihrem Browser, auf dem Grafikchip, wenn Ihr Gerät einen hat. Es wird einmalig geladen, etwa 110 MB, und funktioniert danach auch offline. Handys mit wenig Speicher nutzen ein kleineres Modell (U²-Net)." + ], + [ + "Ist Fizzdoc kostenlos?", + "Ja, und das bleibt so: keine Anmeldung, kein Wasserzeichen, kein Tageslimit und keine Premium-Stufe. Fizzdoc ist Open Source unter der Apache-2.0-Lizenz, sodass jeder seine eigene Kopie betreiben kann." + ] + ], + "keywords": [ + "Hintergrund entfernen Foto", + "Bildhintergrund entfernen kostenlos", + "Foto Hintergrund weiß machen", + "Hintergrund entfernen ohne Upload", + "remove bg" + ] + }, "png-to-jpg": { "name": "PNG in JPG umwandeln", "summary": "PNG-Bilder im großen Stil in JPG umwandeln.", diff --git a/src/i18n/es.json b/src/i18n/es.json index 9a7fe36..13aaab3 100644 --- a/src/i18n/es.json +++ b/src/i18n/es.json @@ -96,6 +96,7 @@ "ws.fmtJpeg": "JPG — fotos, se abre en cualquier sitio", "ws.fmtWebp": "WebP — el más ligero", "ws.fmtPng": "PNG — sin pérdida de calidad", + "ws.fmtAuto": "Lo mejor: PNG si el fondo es transparente, JPG si no", "ws.quality": "Calidad", "ws.width": "Ancho (px)", "ws.height": "Alto (px)", @@ -182,6 +183,9 @@ "error.BAD_JSON": "Este archivo no es un JSON válido. Revisa si falta una coma, unas comillas o un corchete.", "error.BAD_JSON_AT": "Este archivo no es un JSON válido: hay un problema cerca de la línea {line}, columna {column}. Revisa si falta una coma, unas comillas o un corchete.", "error.SHEET_TOO_BIG": "Eso es más de lo que cabe en una hoja de Excel (1.048.576 filas y 16.384 columnas). Divide los datos en archivos más pequeños.", + "error.BG_SETUP_FAILED": "No se pudo cargar el quitafondos. Revisa tu conexión a internet para la descarga única e inténtalo de nuevo.", + "error.BACKGROUND_FAILED": "Quitar el fondo se detuvo de repente, normalmente porque este dispositivo se quedó sin memoria. Prueba con una foto más pequeña, o cierra otras pestañas e inténtalo de nuevo.", + "error.IMAGE_TOO_LARGE": "Esta foto es demasiado grande para que este navegador la guarde con ese tamaño. Elige un tamaño menor en «Tamaño».", "error.NO_DIAGRAM": "Pega tu código Mermaid o elige un archivo .mmd o .md.", "error.BAD_DIAGRAM": "El código del diagrama tiene un error: {detail}", "error.ENGINE_FAILED": "El motor de PDF se ha detenido de forma inesperada — puede que el archivo sea demasiado grande para este dispositivo.", @@ -225,6 +229,32 @@ "ed.removeBox": "Eliminar cuadro de texto", "ed.replaced": "Algunos caracteres no son compatibles con las fuentes estándar de PDF y se han sustituido.", "ed.hint": "Las líneas cambiadas conservan la fuente del PDF si tiene todas las letras que escribes; si no, se cubren y se vuelven a escribir. Tapar solo oculta: para datos sensibles, usa Censurar PDF.", + "bg.previewLabel": "Tu foto con su nuevo fondo", + "bg.preparing": "Preparando el quitafondos: {loaded} de {total} MB. Esta descarga solo se hace una vez.", + "bg.working": "Quitando el fondo… {pct}%", + "bg.lite": "Este dispositivo tiene poca memoria, así que se usó un modelo más ligero. Un ordenador portátil da bordes más limpios.", + "bg.compare": "Mantén pulsado para ver el original", + "bg.background": "Fondo", + "bg.none": "Ninguno", + "bg.white": "Blanco", + "bg.black": "Negro", + "bg.blue": "Azul", + "bg.red": "Rojo", + "bg.green": "Verde", + "bg.gray": "Gris", + "bg.custom": "Cualquier color", + "bg.photo": "Tu foto", + "bg.blur": "Desenfoque", + "bg.size": "Tamaño", + "bg.original": "Tamaño original ({w} × {h} px)", + "bg.widthOption": "{w} × {h} px", + "bg.customSize": "Ancho personalizado…", + "bg.widthLabel": "Ancho en píxeles", + "bg.touch": "Retocar (si hace falta)", + "bg.touchHint": "¿Se ha quedado algún trozo? Elige Borrar o Restaurar y pasa el dedo o el ratón por encima en la foto.", + "bg.erase": "Borrar", + "bg.restore": "Restaurar", + "bg.brush": "Tamaño del pincel", "ocr.unsure": "Parte de este texto puede estar mal. El reconocimiento lee texto en inglés y derecho: gira primero las fotos de lado y ten en cuenta que otros alfabetos saldrán desordenados.", "ocr.copyAll": "Copiar todo el texto", "ocr.copied": "Copiado", @@ -1661,6 +1691,45 @@ "copiar texto de una foto del celular" ] }, + "remove-background": { + "name": "Quitar Fondo", + "summary": "Recorta a una persona, un producto o una mascota y pon lo que quieras detrás.", + "action": "Descargar imagen", + "title": "Quitar Fondo de Imagen Gratis — Sin Subir Nada | Fizzdoc", + "description": "Quita el fondo de cualquier foto gratis y en resolución completa: PNG transparente, blanco, cualquier color o tu propia foto. No se sube nada.", + "h1": "Quita el fondo de cualquier foto", + "lede": "Elige una foto y el fondo desaparece solo. Déjalo transparente, o pon detrás blanco, cualquier color, un desenfoque suave u otra foto. La IA funciona en tu propio dispositivo, así que tu foto nunca sale de él.", + "steps": [ + "Elige una foto. El fondo se quita al instante.", + "Elige qué va detrás: nada, un color, un desenfoque o tu propia foto. Retoca cualquier zona si hace falta.", + "Elige el tamaño y haz clic en «Descargar imagen»." + ], + "faq": [ + [ + "¿Se suben mis archivos a algún sitio?", + "No. Fizzdoc hace todo el trabajo dentro de la pestaña de tu navegador, con motores de código abierto compilados a WebAssembly y JavaScript. Tu archivo se lee desde tu dispositivo, se procesa localmente y el resultado se guarda directamente en tu dispositivo. Puedes comprobarlo tú mismo: abre las herramientas de desarrollador de tu navegador, ve a la pestaña Red y ejecuta una tarea — ninguna solicitud lleva tu archivo." + ], + [ + "¿Perderá calidad mi foto?", + "No. El recorte conserva la resolución completa de tu foto, sin límite de tamaño por parte de Fizzdoc. Los bordes del pelo y del pelaje se limpian a tamaño completo, así que se ven naturales sobre cualquier fondo nuevo. También puedes guardar una copia más pequeña." + ], + [ + "¿Cómo funciona sin subir nada?", + "Un modelo de IA de código abierto (BiRefNet) funciona dentro de tu navegador, en la tarjeta gráfica si el dispositivo la tiene. Se descarga una sola vez, unos 110 MB, y después funciona incluso sin conexión. Los móviles con poca memoria usan un modelo más pequeño (U²-Net)." + ], + [ + "¿Es gratis Fizzdoc?", + "Sí, y seguirá siendo gratis: sin registro, sin marca de agua, sin límite diario y sin plan premium. Fizzdoc es de código abierto bajo la licencia Apache-2.0, así que cualquiera puede ejecutar su propia copia." + ] + ], + "keywords": [ + "quitar fondo de una foto", + "quitar fondo de imagen gratis", + "poner fondo blanco a una foto", + "quitar fondo sin subir la foto", + "remove bg" + ] + }, "png-to-jpg": { "name": "PNG a JPG", "summary": "Convierte imágenes PNG a JPG en lote.", diff --git a/src/i18n/fr.json b/src/i18n/fr.json index 737d11f..021450d 100644 --- a/src/i18n/fr.json +++ b/src/i18n/fr.json @@ -96,6 +96,7 @@ "ws.fmtJpeg": "JPG — photos, s'ouvre partout", "ws.fmtWebp": "WebP — le plus léger", "ws.fmtPng": "PNG — sans perte", + "ws.fmtAuto": "Le plus adapté : PNG si le fond est transparent, sinon JPG", "ws.quality": "Qualité", "ws.width": "Largeur (px)", "ws.height": "Hauteur (px)", @@ -182,6 +183,9 @@ "error.BAD_JSON": "Ce fichier n’est pas un JSON valide. Vérifiez s’il manque une virgule, un guillemet ou un crochet.", "error.BAD_JSON_AT": "Ce fichier n’est pas un JSON valide : il y a un problème près de la ligne {line}, colonne {column}. Vérifiez s’il manque une virgule, un guillemet ou un crochet.", "error.SHEET_TOO_BIG": "C’est plus que ce qu’une feuille Excel peut contenir (1 048 576 lignes et 16 384 colonnes). Répartissez les données dans des fichiers plus petits.", + "error.BG_SETUP_FAILED": "L’outil de suppression du fond n’a pas pu être chargé. Vérifiez votre connexion internet pour le téléchargement unique, puis réessayez.", + "error.BACKGROUND_FAILED": "La suppression du fond s’est arrêtée brusquement, en général parce que cet appareil a manqué de mémoire. Essayez une photo plus petite, ou fermez les autres onglets et réessayez.", + "error.IMAGE_TOO_LARGE": "Cette photo est trop grande pour que ce navigateur l’enregistre à cette taille. Choisissez une taille plus petite sous « Taille ».", "error.NO_DIAGRAM": "Collez votre code Mermaid ou choisissez un fichier .mmd ou .md.", "error.BAD_DIAGRAM": "Le code du diagramme contient une erreur : {detail}", "error.ENGINE_FAILED": "Le moteur PDF s'est arrêté de façon inattendue — le fichier est peut-être trop volumineux pour cet appareil.", @@ -225,6 +229,32 @@ "ed.removeBox": "Retirer la zone de texte", "ed.replaced": "Certains caractères ne sont pas pris en charge par les polices PDF standard et ont été remplacés.", "ed.hint": "Les lignes modifiées gardent la police du PDF si elle contient toutes les lettres tapées ; sinon, elles sont recouvertes et réécrites. Masquer ne fait que cacher : pour des données sensibles, utilisez Caviarder un PDF.", + "bg.previewLabel": "Votre photo avec son nouveau fond", + "bg.preparing": "Préparation de l’outil de suppression du fond : {loaded} sur {total} Mo. Ce téléchargement n’a lieu qu’une seule fois.", + "bg.working": "Suppression du fond… {pct} %", + "bg.lite": "Cet appareil a peu de mémoire, un modèle plus léger a donc été utilisé. Un ordinateur portable donne des contours plus nets.", + "bg.compare": "Maintenez appuyé pour voir l’original", + "bg.background": "Fond", + "bg.none": "Aucun", + "bg.white": "Blanc", + "bg.black": "Noir", + "bg.blue": "Bleu", + "bg.red": "Rouge", + "bg.green": "Vert", + "bg.gray": "Gris", + "bg.custom": "Toute couleur", + "bg.photo": "Votre photo", + "bg.blur": "Flou", + "bg.size": "Taille", + "bg.original": "Taille d’origine ({w} × {h} px)", + "bg.widthOption": "{w} × {h} px", + "bg.customSize": "Largeur personnalisée…", + "bg.widthLabel": "Largeur en pixels", + "bg.touch": "Retoucher (si besoin)", + "bg.touchHint": "Un endroit a été oublié ? Choisissez Effacer ou Restaurer, puis passez le doigt ou la souris dessus sur la photo.", + "bg.erase": "Effacer", + "bg.restore": "Restaurer", + "bg.brush": "Taille du pinceau", "ocr.unsure": "Une partie de ce texte peut être fausse. La reconnaissance lit du texte anglais bien droit : faites d’abord pivoter les photos de travers ; les autres écritures sortiront brouillées.", "ocr.copyAll": "Copier tout le texte", "ocr.copied": "Copié", @@ -1661,6 +1691,45 @@ "copier le texte d'une photo prise au téléphone" ] }, + "remove-background": { + "name": "Supprimer le Fond", + "summary": "Détourez une personne, un produit ou un animal et mettez ce que vous voulez derrière.", + "action": "Télécharger l’image", + "title": "Supprimer le Fond d’une Image Gratuit — Sans Envoi | Fizzdoc", + "description": "Supprimez le fond de n’importe quelle photo gratuitement, en pleine résolution : PNG transparent, blanc, toute couleur ou votre photo. Rien n’est envoyé.", + "h1": "Supprimez le fond de n’importe quelle photo", + "lede": "Choisissez une photo et le fond disparaît tout seul. Laissez-le transparent, ou mettez derrière du blanc, une couleur, un flou doux ou une autre photo. L’IA tourne sur votre propre appareil, votre photo ne le quitte donc jamais.", + "steps": [ + "Choisissez une photo. Le fond est supprimé tout de suite.", + "Choisissez ce qui va derrière : rien, une couleur, un flou ou votre photo. Retouchez un endroit si besoin.", + "Choisissez la taille, puis cliquez sur « Télécharger l’image »." + ], + "faq": [ + [ + "Mes fichiers sont-ils envoyés quelque part ?", + "Non. Fizzdoc effectue tout le travail dans votre onglet de navigateur, grâce à des moteurs open source compilés en WebAssembly et en JavaScript. Votre fichier est lu depuis votre appareil, traité localement, puis le résultat est enregistré directement sur votre appareil. Vous pouvez le vérifier vous-même : ouvrez les outils de développement de votre navigateur, allez dans l'onglet Réseau et lancez une opération — aucune requête ne transporte votre fichier." + ], + [ + "Ma photo va-t-elle perdre en qualité ?", + "Non. Le détourage garde la pleine résolution de votre photo, sans limite de taille de la part de Fizzdoc. Les contours des cheveux et des poils sont nettoyés en taille réelle, ils paraissent donc naturels sur n’importe quel nouveau fond. Vous pouvez aussi enregistrer une copie plus petite." + ], + [ + "Comment ça marche sans rien envoyer ?", + "Un modèle d’IA open source (BiRefNet) tourne dans votre navigateur, sur la puce graphique quand l’appareil en a une. Il se télécharge une seule fois, environ 110 Mo, puis fonctionne même hors connexion. Les téléphones avec peu de mémoire utilisent un modèle plus petit (U²-Net)." + ], + [ + "Est-ce que Fizzdoc est gratuit ?", + "Oui, et ça restera gratuit : pas d'inscription, pas de filigrane, pas de limite quotidienne et pas d'offre premium. Fizzdoc est open source sous licence Apache-2.0, donc n'importe qui peut faire tourner sa propre copie." + ] + ], + "keywords": [ + "supprimer le fond d’une photo", + "enlever le fond d’une image gratuit", + "mettre un fond blanc sur une photo", + "détourer une photo sans l’envoyer", + "remove bg" + ] + }, "png-to-jpg": { "name": "PNG en JPG", "summary": "Convertissez des images PNG en JPG en lot.", diff --git a/src/i18n/hi.json b/src/i18n/hi.json index ff913c4..9ab25c5 100644 --- a/src/i18n/hi.json +++ b/src/i18n/hi.json @@ -96,6 +96,7 @@ "ws.fmtJpeg": "JPG — फ़ोटो के लिए, हर जगह खुलता है", "ws.fmtWebp": "WebP — सबसे छोटा", "ws.fmtPng": "PNG — लॉसलेस", + "ws.fmtAuto": "सबसे सही: बैकग्राउंड पारदर्शी हो तो PNG, नहीं तो JPG", "ws.quality": "क्वालिटी", "ws.width": "चौड़ाई (px)", "ws.height": "ऊँचाई (px)", @@ -182,6 +183,9 @@ "error.BAD_JSON": "यह फ़ाइल वैध JSON नहीं है। जाँच लें कि कोई कॉमा, कोट या ब्रैकेट छूटा तो नहीं।", "error.BAD_JSON_AT": "यह फ़ाइल वैध JSON नहीं है: लाइन {line}, कॉलम {column} के पास समस्या है। जाँच लें कि कोई कॉमा, कोट या ब्रैकेट छूटा तो नहीं।", "error.SHEET_TOO_BIG": "यह डेटा एक Excel शीट की क्षमता (1,048,576 पंक्तियाँ और 16,384 कॉलम) से ज़्यादा है। डेटा को छोटी फ़ाइलों में बाँट लें।", + "error.BG_SETUP_FAILED": "बैकग्राउंड हटाने वाला टूल लोड नहीं हो सका। एक बार के डाउनलोड के लिए अपना इंटरनेट देखें, फिर दोबारा कोशिश करें।", + "error.BACKGROUND_FAILED": "बैकग्राउंड हटाना अचानक रुक गया, आमतौर पर इसलिए कि इस डिवाइस की मेमोरी भर गई। छोटी फ़ोटो चुनें, या बाकी टैब बंद करके दोबारा कोशिश करें।", + "error.IMAGE_TOO_LARGE": "यह फ़ोटो इस ब्राउज़र के लिए उस साइज़ में सेव करने के लिए बहुत बड़ी है। “साइज़” में छोटा साइज़ चुनें।", "error.NO_DIAGRAM": "अपना Mermaid कोड पेस्ट करें, या कोई .mmd या .md फ़ाइल चुनें।", "error.BAD_DIAGRAM": "डायग्राम कोड में गलती है: {detail}", "error.ENGINE_FAILED": "PDF इंजन अचानक रुक गया — शायद फ़ाइल इस डिवाइस के लिए बहुत बड़ी है।", @@ -225,6 +229,32 @@ "ed.removeBox": "टेक्स्ट बॉक्स हटाएँ", "ed.replaced": "कुछ कैरेक्टर स्टैंडर्ड PDF फ़ॉन्ट्स में सपोर्ट नहीं होते, इसलिए बदल दिए गए।", "ed.hint": "बदली गई लाइनें PDF का अपना फ़ॉन्ट रखती हैं, अगर उसमें आपके टाइप किए सभी अक्षर हों; वरना उन्हें ढककर दोबारा लिखा जाता है। व्हाइट-आउट सिर्फ़ छिपाता है — संवेदनशील डेटा के लिए PDF रिडैक्ट करें इस्तेमाल करें।", + "bg.previewLabel": "आपकी फ़ोटो नई बैकग्राउंड के साथ", + "bg.preparing": "बैकग्राउंड हटाने वाला टूल तैयार हो रहा है: {total} MB में से {loaded} MB। यह डाउनलोड सिर्फ़ एक बार होता है।", + "bg.working": "बैकग्राउंड हटाई जा रही है… {pct}%", + "bg.lite": "इस डिवाइस में मेमोरी कम है, इसलिए हल्का मॉडल इस्तेमाल हुआ। लैपटॉप पर किनारे ज़्यादा साफ़ आते हैं।", + "bg.compare": "असली फ़ोटो देखने के लिए दबाए रखें", + "bg.background": "बैकग्राउंड", + "bg.none": "कोई नहीं", + "bg.white": "सफ़ेद", + "bg.black": "काला", + "bg.blue": "नीला", + "bg.red": "लाल", + "bg.green": "हरा", + "bg.gray": "स्लेटी", + "bg.custom": "कोई भी रंग", + "bg.photo": "आपकी फ़ोटो", + "bg.blur": "धुंधला", + "bg.size": "साइज़", + "bg.original": "असली साइज़ ({w} × {h} px)", + "bg.widthOption": "{w} × {h} px", + "bg.customSize": "अपनी चौड़ाई…", + "bg.widthLabel": "चौड़ाई (पिक्सेल में)", + "bg.touch": "सुधारें (ज़रूरत हो तो)", + "bg.touchHint": "कोई जगह छूट गई? मिटाएँ या वापस लाएँ चुनें, फिर फ़ोटो पर उँगली या माउस फेरें।", + "bg.erase": "मिटाएँ", + "bg.restore": "वापस लाएँ", + "bg.brush": "ब्रश का साइज़", "ocr.unsure": "इस टेक्स्ट में कुछ गलतियाँ हो सकती हैं। टेक्स्ट पहचान सीधे रखे अंग्रेज़ी टेक्स्ट को पढ़ती है: तिरछी फ़ोटो को पहले घुमाएँ, और दूसरी लिपियों में गड़बड़ नतीजे की उम्मीद रखें।", "ocr.copyAll": "सारा टेक्स्ट कॉपी करें", "ocr.copied": "कॉपी हो गया", @@ -1661,6 +1691,45 @@ "मोबाइल फोटो से टेक्स्ट कॉपी करें" ] }, + "remove-background": { + "name": "बैकग्राउंड हटाएँ", + "summary": "किसी व्यक्ति, सामान या पालतू जानवर को काटकर अलग करें और पीछे कुछ भी लगाएँ।", + "action": "इमेज डाउनलोड करें", + "title": "फोटो की बैकग्राउंड हटाएँ फ्री — बिना अपलोड | Fizzdoc", + "description": "किसी भी फ़ोटो की बैकग्राउंड मुफ़्त में हटाएँ, पूरे रेज़ोल्यूशन में: पारदर्शी PNG, सफ़ेद, कोई भी रंग या अपनी फ़ोटो। कुछ भी अपलोड नहीं होता।", + "h1": "किसी भी फ़ोटो की बैकग्राउंड हटाएँ", + "lede": "फ़ोटो चुनिए और बैकग्राउंड अपने-आप गायब हो जाती है। उसे पारदर्शी रखें, या पीछे सफ़ेद, कोई भी रंग, हल्का धुंधलापन या दूसरी फ़ोटो लगाएँ। AI आपके अपने डिवाइस पर चलता है, इसलिए आपकी फ़ोटो कहीं नहीं जाती।", + "steps": [ + "एक फ़ोटो चुनें। बैकग्राउंड तुरंत हट जाती है।", + "पीछे क्या लगाना है चुनें: कुछ नहीं, रंग, धुंधलापन या अपनी फ़ोटो। ज़रूरत हो तो किसी जगह को सुधारें।", + "साइज़ चुनें, फिर “इमेज डाउनलोड करें” पर क्लिक करें।" + ], + "faq": [ + [ + "क्या मेरी फ़ाइलें कहीं अपलोड होती हैं?", + "नहीं। Fizzdoc यह काम आपके ब्राउज़र टैब के अंदर ही करता है, ओपन-सोर्स इंजन की मदद से जो WebAssembly और JavaScript में कंपाइल किए गए हैं। आपकी फ़ाइल आपके डिवाइस से पढ़ी जाती है, लोकली प्रोसेस होती है, और नतीजा सीधे आपके डिवाइस पर सेव हो जाता है। आप खुद चेक कर सकते हैं: अपने ब्राउज़र के डेवलपर टूल्स खोलें, Network टैब पर जाएँ और कोई काम चलाएँ — कोई भी रिक्वेस्ट आपकी फ़ाइल नहीं ले जाती।" + ], + [ + "क्या मेरी फ़ोटो की क्वालिटी घटेगी?", + "नहीं। कटी हुई फ़ोटो अपना पूरा रेज़ोल्यूशन रखती है, Fizzdoc की तरफ़ से साइज़ की कोई सीमा नहीं है। बाल और रोएँ के किनारे पूरे साइज़ पर साफ़ किए जाते हैं, इसलिए किसी भी नई बैकग्राउंड पर प्राकृतिक दिखते हैं। चाहें तो छोटी कॉपी भी सेव कर सकते हैं।" + ], + [ + "बिना अपलोड किए यह कैसे काम करता है?", + "एक ओपन-सोर्स AI मॉडल (BiRefNet) आपके ब्राउज़र के अंदर चलता है, और डिवाइस में ग्राफ़िक्स चिप हो तो उसी पर। यह एक बार लगभग 110 MB डाउनलोड होता है, फिर ऑफ़लाइन भी चलता है। कम मेमोरी वाले फ़ोन छोटा मॉडल (U²-Net) इस्तेमाल करते हैं।" + ], + [ + "क्या Fizzdoc मुफ़्त है?", + "हाँ, और यह हमेशा फ्री रहेगा: कोई साइन-अप नहीं, कोई वॉटरमार्क नहीं, कोई डेली लिमिट नहीं और कोई प्रीमियम प्लान नहीं। Fizzdoc, Apache-2.0 लाइसेंस के तहत ओपन सोर्स है, इसलिए कोई भी अपनी खुद की कॉपी चला सकता है।" + ] + ], + "keywords": [ + "फोटो की बैकग्राउंड हटाएँ", + "बैकग्राउंड रिमूव फ्री", + "फोटो का बैकग्राउंड सफेद करें", + "बिना अपलोड बैकग्राउंड हटाएँ", + "remove bg" + ] + }, "png-to-jpg": { "name": "PNG को JPG में बदलें", "summary": "PNG इमेज को एक साथ कई में JPG में बदलें।", diff --git a/src/i18n/id.json b/src/i18n/id.json index 9d91cf5..143905c 100644 --- a/src/i18n/id.json +++ b/src/i18n/id.json @@ -96,6 +96,7 @@ "ws.fmtJpeg": "JPG — foto, bisa dibuka di mana saja", "ws.fmtWebp": "WebP — paling kecil", "ws.fmtPng": "PNG — lossless", + "ws.fmtAuto": "Paling pas: PNG jika latar belakangnya transparan, selain itu JPG", "ws.quality": "Kualitas", "ws.width": "Lebar (px)", "ws.height": "Tinggi (px)", @@ -182,6 +183,9 @@ "error.BAD_JSON": "File ini bukan JSON yang valid. Periksa apakah ada koma, tanda kutip, atau tanda kurung yang hilang.", "error.BAD_JSON_AT": "File ini bukan JSON yang valid: ada masalah di sekitar baris {line}, kolom {column}. Periksa apakah ada koma, tanda kutip, atau tanda kurung yang hilang.", "error.SHEET_TOO_BIG": "Itu melebihi kapasitas satu sheet Excel (1.048.576 baris dan 16.384 kolom). Pecah data menjadi file yang lebih kecil.", + "error.BG_SETUP_FAILED": "Penghapus latar belakang tidak bisa dimuat. Periksa koneksi internet Anda untuk unduhan satu kali ini, lalu coba lagi.", + "error.BACKGROUND_FAILED": "Penghapusan latar belakang berhenti tiba-tiba, biasanya karena memori perangkat ini habis. Coba foto yang lebih kecil, atau tutup tab lain lalu coba lagi.", + "error.IMAGE_TOO_LARGE": "Foto ini terlalu besar untuk disimpan browser ini pada ukuran tersebut. Pilih ukuran yang lebih kecil di “Ukuran”.", "error.NO_DIAGRAM": "Tempel kode Mermaid Anda, atau pilih file .mmd atau .md.", "error.BAD_DIAGRAM": "Kode diagram ada kesalahan: {detail}", "error.ENGINE_FAILED": "Mesin PDF berhenti secara tak terduga — file mungkin terlalu besar untuk perangkat ini.", @@ -225,6 +229,32 @@ "ed.removeBox": "Hapus kotak teks", "ed.replaced": "Beberapa karakter tidak didukung oleh font standar PDF dan telah diganti.", "ed.hint": "Baris yang diubah tetap memakai font PDF jika font itu punya semua huruf yang Anda ketik; jika tidak, baris ditutupi lalu ditulis ulang. Blok putih hanya menyembunyikan — untuk data sensitif, gunakan Sensor PDF.", + "bg.previewLabel": "Foto Anda dengan latar belakang baru", + "bg.preparing": "Menyiapkan penghapus latar belakang: {loaded} dari {total} MB. Unduhan ini hanya sekali.", + "bg.working": "Menghapus latar belakang… {pct}%", + "bg.lite": "Perangkat ini memorinya sedikit, jadi dipakai model yang lebih ringan. Laptop memberi tepi yang lebih bersih.", + "bg.compare": "Tahan untuk melihat aslinya", + "bg.background": "Latar belakang", + "bg.none": "Tidak ada", + "bg.white": "Putih", + "bg.black": "Hitam", + "bg.blue": "Biru", + "bg.red": "Merah", + "bg.green": "Hijau", + "bg.gray": "Abu-abu", + "bg.custom": "Warna apa saja", + "bg.photo": "Foto Anda", + "bg.blur": "Buram", + "bg.size": "Ukuran", + "bg.original": "Ukuran asli ({w} × {h} px)", + "bg.widthOption": "{w} × {h} px", + "bg.customSize": "Lebar khusus…", + "bg.widthLabel": "Lebar dalam piksel", + "bg.touch": "Rapikan (jika perlu)", + "bg.touchHint": "Ada bagian yang terlewat? Pilih Hapus atau Pulihkan, lalu usapkan jari atau mouse di atas foto.", + "bg.erase": "Hapus", + "bg.restore": "Pulihkan", + "bg.brush": "Ukuran kuas", "ocr.unsure": "Sebagian teks ini mungkin salah. Pengenalan teks membaca teks bahasa Inggris yang tegak: putar dulu foto yang miring, dan aksara lain akan keluar berantakan.", "ocr.copyAll": "Salin semua teks", "ocr.copied": "Disalin", @@ -1661,6 +1691,45 @@ "salin teks dari foto hp" ] }, + "remove-background": { + "name": "Hapus Latar Belakang", + "summary": "Potong orang, produk, atau hewan peliharaan lalu pasang apa saja di belakangnya.", + "action": "Unduh gambar", + "title": "Hapus Latar Belakang Foto Gratis — Tanpa Unggah | Fizzdoc", + "description": "Hapus latar belakang foto apa saja secara gratis dengan resolusi penuh: PNG transparan, putih, warna apa saja, atau foto Anda. Tidak ada yang diunggah.", + "h1": "Hapus latar belakang foto apa saja", + "lede": "Pilih foto dan latar belakangnya hilang sendiri. Biarkan transparan, atau pasang warna putih, warna apa saja, buram lembut, atau foto lain di belakangnya. AI berjalan di perangkat Anda sendiri, jadi foto Anda tidak pernah keluar dari sana.", + "steps": [ + "Pilih foto. Latar belakang langsung dihapus.", + "Pilih yang ada di belakang: tidak ada, warna, buram, atau foto Anda sendiri. Rapikan bagian tertentu jika perlu.", + "Pilih ukuran, lalu klik “Unduh gambar”." + ], + "faq": [ + [ + "Apakah file saya diunggah ke suatu tempat?", + "Tidak. Fizzdoc melakukan semua proses di dalam tab browser Anda, menggunakan mesin open source yang dikompilasi ke WebAssembly dan JavaScript. File Anda dibaca dari perangkat Anda, diproses secara lokal, dan hasilnya langsung disimpan kembali ke perangkat Anda. Anda bisa membuktikannya sendiri: buka developer tools browser Anda, lihat tab Network, lalu jalankan sebuah proses — tidak ada request yang membawa file Anda." + ], + [ + "Apakah kualitas foto saya akan turun?", + "Tidak. Hasil potongan tetap beresolusi penuh seperti foto Anda, tanpa batas ukuran dari Fizzdoc. Tepi rambut dan bulu dirapikan pada ukuran penuh, jadi tampak alami di latar belakang baru apa pun. Anda juga bisa menyimpan salinan yang lebih kecil." + ], + [ + "Bagaimana cara kerjanya tanpa mengunggah?", + "Model AI open source (BiRefNet) berjalan di dalam browser Anda, memakai chip grafis jika perangkat punya. Modelnya diunduh sekali, sekitar 110 MB, lalu bisa dipakai bahkan saat offline. Ponsel dengan memori kecil memakai model yang lebih kecil (U²-Net)." + ], + [ + "Apakah Fizzdoc gratis?", + "Ya, dan akan tetap gratis: tanpa daftar, tanpa watermark, tanpa batas harian, dan tanpa paket berbayar. Fizzdoc adalah open source di bawah lisensi Apache-2.0, jadi siapa pun bisa menjalankan salinannya sendiri." + ] + ], + "keywords": [ + "hapus latar belakang foto", + "menghilangkan background foto gratis", + "ubah background foto jadi putih", + "hapus background tanpa upload", + "remove bg" + ] + }, "png-to-jpg": { "name": "PNG ke JPG", "summary": "Konversi gambar PNG ke JPG sekaligus banyak.", diff --git a/src/i18n/it.json b/src/i18n/it.json index 212b150..5c42ead 100644 --- a/src/i18n/it.json +++ b/src/i18n/it.json @@ -96,6 +96,7 @@ "ws.fmtJpeg": "JPG — foto, si apre ovunque", "ws.fmtWebp": "WebP — il più piccolo", "ws.fmtPng": "PNG — senza perdita di qualità", + "ws.fmtAuto": "Scelta migliore: PNG se lo sfondo è trasparente, altrimenti JPG", "ws.quality": "Qualità", "ws.width": "Larghezza (px)", "ws.height": "Altezza (px)", @@ -182,6 +183,9 @@ "error.BAD_JSON": "Questo file non è un JSON valido. Controlla se manca una virgola, una virgoletta o una parentesi.", "error.BAD_JSON_AT": "Questo file non è un JSON valido: c’è un problema vicino alla riga {line}, colonna {column}. Controlla se manca una virgola, una virgoletta o una parentesi.", "error.SHEET_TOO_BIG": "È più di quanto possa contenere un foglio Excel (1.048.576 righe e 16.384 colonne). Dividi i dati in file più piccoli.", + "error.BG_SETUP_FAILED": "Non è stato possibile caricare lo strumento per togliere lo sfondo. Controlla la connessione a internet per il download una tantum, poi riprova.", + "error.BACKGROUND_FAILED": "La rimozione dello sfondo si è interrotta all’improvviso, di solito perché questo dispositivo ha esaurito la memoria. Prova con una foto più piccola, oppure chiudi le altre schede e riprova.", + "error.IMAGE_TOO_LARGE": "Questa foto è troppo grande perché questo browser la salvi a quella dimensione. Scegli una dimensione più piccola in «Dimensione».", "error.NO_DIAGRAM": "Incolla il tuo codice Mermaid o scegli un file .mmd o .md.", "error.BAD_DIAGRAM": "Il codice del diagramma contiene un errore: {detail}", "error.ENGINE_FAILED": "Il motore PDF si è interrotto inaspettatamente — il file potrebbe essere troppo grande per questo dispositivo.", @@ -225,6 +229,32 @@ "ed.removeBox": "Rimuovi casella di testo", "ed.replaced": "Alcuni caratteri non sono supportati dai font PDF standard e sono stati sostituiti.", "ed.hint": "Le righe modificate mantengono il font del PDF se contiene tutte le lettere che scrivi; altrimenti vengono coperte e riscritte. Copri (bianchetto) nasconde soltanto: per dati sensibili, usa Oscura PDF.", + "bg.previewLabel": "La tua foto con il nuovo sfondo", + "bg.preparing": "Preparazione dello strumento per togliere lo sfondo: {loaded} di {total} MB. Questo download avviene una sola volta.", + "bg.working": "Rimozione dello sfondo… {pct}%", + "bg.lite": "Questo dispositivo ha poca memoria, quindi è stato usato un modello più leggero. Con un portatile i contorni vengono più puliti.", + "bg.compare": "Tieni premuto per vedere l’originale", + "bg.background": "Sfondo", + "bg.none": "Nessuno", + "bg.white": "Bianco", + "bg.black": "Nero", + "bg.blue": "Blu", + "bg.red": "Rosso", + "bg.green": "Verde", + "bg.gray": "Grigio", + "bg.custom": "Qualsiasi colore", + "bg.photo": "La tua foto", + "bg.blur": "Sfocatura", + "bg.size": "Dimensione", + "bg.original": "Dimensione originale ({w} × {h} px)", + "bg.widthOption": "{w} × {h} px", + "bg.customSize": "Larghezza personalizzata…", + "bg.widthLabel": "Larghezza in pixel", + "bg.touch": "Ritocca (se serve)", + "bg.touchHint": "Hai dimenticato un punto? Scegli Cancella o Ripristina, poi passaci sopra con il dito o il mouse sulla foto.", + "bg.erase": "Cancella", + "bg.restore": "Ripristina", + "bg.brush": "Dimensione del pennello", "ocr.unsure": "Parte di questo testo potrebbe essere sbagliata. Il riconoscimento legge testo inglese dritto: ruota prima le foto storte e aspettati che altri alfabeti escano confusi.", "ocr.copyAll": "Copia tutto il testo", "ocr.copied": "Copiato", @@ -1661,6 +1691,45 @@ "copiare testo da una foto del telefono" ] }, + "remove-background": { + "name": "Rimuovi Sfondo", + "summary": "Ritaglia una persona, un prodotto o un animale e metti quello che vuoi dietro.", + "action": "Scarica immagine", + "title": "Rimuovi Sfondo da Immagine Gratis — Senza Upload | Fizzdoc", + "description": "Rimuovi lo sfondo da qualsiasi foto gratis e in piena risoluzione: PNG trasparente, bianco, qualsiasi colore o una tua foto. Non viene caricato nulla.", + "h1": "Rimuovi lo sfondo da qualsiasi foto", + "lede": "Scegli una foto e lo sfondo sparisce da solo. Lascialo trasparente, oppure metti dietro il bianco, un colore, una sfocatura morbida o un’altra foto. L’IA funziona sul tuo dispositivo, quindi la tua foto non lo lascia mai.", + "steps": [ + "Scegli una foto. Lo sfondo viene tolto subito.", + "Scegli cosa mettere dietro: niente, un colore, una sfocatura o una tua foto. Ritocca un punto se serve.", + "Scegli la dimensione e clicca su «Scarica immagine»." + ], + "faq": [ + [ + "I miei file vengono caricati da qualche parte?", + "No. Fizzdoc esegue il lavoro direttamente nella scheda del browser, usando motori open source compilati in WebAssembly e JavaScript. Il file viene letto dal tuo dispositivo, elaborato in locale, e il risultato viene salvato di nuovo sul tuo dispositivo. Puoi verificarlo tu stesso: apri gli strumenti per sviluppatori del browser, vai alla scheda Rete ed esegui un'operazione — nessuna richiesta trasporta il tuo file." + ], + [ + "La mia foto perderà qualità?", + "No. Il ritaglio mantiene la risoluzione piena della tua foto, senza limiti di dimensione da parte di Fizzdoc. I contorni di capelli e pelo vengono puliti a dimensione piena, così sembrano naturali su qualsiasi nuovo sfondo. Puoi anche salvare una copia più piccola." + ], + [ + "Come funziona senza caricare nulla?", + "Un modello di IA open source (BiRefNet) funziona dentro il tuo browser, sulla scheda grafica se il dispositivo ne ha una. Si scarica una sola volta, circa 110 MB, e poi funziona anche offline. Gli smartphone con poca memoria usano un modello più piccolo (U²-Net)." + ], + [ + "Fizzdoc è gratuito?", + "Sì, e resterà gratuito: niente registrazione, niente filigrana, nessun limite giornaliero e nessun piano premium. Fizzdoc è open source con licenza Apache-2.0, quindi chiunque può eseguire la propria copia." + ] + ], + "keywords": [ + "togliere sfondo da foto", + "rimuovere sfondo immagine gratis", + "mettere sfondo bianco a una foto", + "togliere sfondo senza caricare foto", + "remove bg" + ] + }, "png-to-jpg": { "name": "Da PNG a JPG", "summary": "Converti immagini PNG in JPG in blocco.", diff --git a/src/i18n/mr.json b/src/i18n/mr.json index 8273fc5..9a468ad 100644 --- a/src/i18n/mr.json +++ b/src/i18n/mr.json @@ -96,6 +96,7 @@ "ws.fmtJpeg": "JPG — फोटोंसाठी, सगळीकडे उघडते", "ws.fmtWebp": "WebP — सर्वात लहान", "ws.fmtPng": "PNG — लॉसलेस", + "ws.fmtAuto": "सर्वोत्तम: बॅकग्राउंड पारदर्शक असल्यास PNG, नाहीतर JPG", "ws.quality": "क्वालिटी", "ws.width": "रुंदी (px)", "ws.height": "उंची (px)", @@ -182,6 +183,9 @@ "error.BAD_JSON": "ही फाइल वैध JSON नाही. एखादा स्वल्पविराम, कोट किंवा ब्रॅकेट राहिला आहे का ते तपासा.", "error.BAD_JSON_AT": "ही फाइल वैध JSON नाही: ओळ {line}, कॉलम {column} जवळ समस्या आहे. एखादा स्वल्पविराम, कोट किंवा ब्रॅकेट राहिला आहे का ते तपासा.", "error.SHEET_TOO_BIG": "हे एका Excel शीटच्या क्षमतेपेक्षा (1,048,576 ओळी आणि 16,384 कॉलम) जास्त आहे. डेटा लहान फाइल्समध्ये विभागा.", + "error.BG_SETUP_FAILED": "बॅकग्राउंड काढणारे साधन लोड होऊ शकले नाही. एकदाच होणाऱ्या डाउनलोडसाठी तुमचे इंटरनेट तपासा, मग पुन्हा प्रयत्न करा.", + "error.BACKGROUND_FAILED": "बॅकग्राउंड काढणे अचानक थांबले, सहसा या डिव्हाइसची मेमरी संपल्यामुळे. लहान फोटो निवडा, किंवा इतर टॅब बंद करून पुन्हा प्रयत्न करा.", + "error.IMAGE_TOO_LARGE": "हा फोटो या ब्राउझरला त्या आकारात सेव्ह करण्यासाठी खूप मोठा आहे. “आकार” मध्ये लहान आकार निवडा.", "error.NO_DIAGRAM": "तुमचा Mermaid कोड पेस्ट करा, किंवा एखादी .mmd किंवा .md फाइल निवडा.", "error.BAD_DIAGRAM": "डायग्राम कोडमध्ये चूक आहे: {detail}", "error.ENGINE_FAILED": "PDF इंजिन अचानक थांबले — ही फाइल या डिव्हाइससाठी खूप मोठी असू शकते.", @@ -225,6 +229,32 @@ "ed.removeBox": "मजकूर बॉक्स काढा", "ed.replaced": "काही कॅरेक्टर्स स्टँडर्ड PDF फाँट्समध्ये सपोर्ट होत नाहीत आणि ते बदलले गेले.", "ed.hint": "तुम्ही टाइप केलेली सर्व अक्षरे असतील तर बदललेल्या ओळी PDF चा स्वतःचा फाँट ठेवतात; नाहीतर त्या झाकून पुन्हा लिहिल्या जातात. व्हाइट-आउट फक्त लपवतो — संवेदनशील डेटासाठी PDF रिडॅक्ट करा वापरा.", + "bg.previewLabel": "नवीन बॅकग्राउंडसह तुमचा फोटो", + "bg.preparing": "बॅकग्राउंड काढणारे साधन तयार होत आहे: {total} MB पैकी {loaded} MB. हे डाउनलोड फक्त एकदाच होते.", + "bg.working": "बॅकग्राउंड काढली जात आहे… {pct}%", + "bg.lite": "या डिव्हाइसमध्ये मेमरी कमी आहे, म्हणून हलके मॉडेल वापरले. लॅपटॉपवर कडा अधिक स्वच्छ येतात.", + "bg.compare": "मूळ फोटो पाहण्यासाठी दाबून धरा", + "bg.background": "बॅकग्राउंड", + "bg.none": "काही नाही", + "bg.white": "पांढरा", + "bg.black": "काळा", + "bg.blue": "निळा", + "bg.red": "लाल", + "bg.green": "हिरवा", + "bg.gray": "राखाडी", + "bg.custom": "कोणताही रंग", + "bg.photo": "तुमचा फोटो", + "bg.blur": "धूसर", + "bg.size": "आकार", + "bg.original": "मूळ आकार ({w} × {h} px)", + "bg.widthOption": "{w} × {h} px", + "bg.customSize": "स्वतःची रुंदी…", + "bg.widthLabel": "रुंदी (पिक्सेलमध्ये)", + "bg.touch": "दुरुस्त करा (गरज असल्यास)", + "bg.touchHint": "एखादी जागा राहिली का? पुसा किंवा परत आणा निवडा, मग फोटोवर बोट किंवा माउस फिरवा.", + "bg.erase": "पुसा", + "bg.restore": "परत आणा", + "bg.brush": "ब्रशचा आकार", "ocr.unsure": "या मजकुरात काही चुका असू शकतात. मजकूर ओळख सरळ असलेला इंग्रजी मजकूर वाचते: तिरके फोटो आधी फिरवा, आणि इतर लिपींमध्ये गोंधळलेला निकाल येऊ शकतो.", "ocr.copyAll": "सर्व मजकूर कॉपी करा", "ocr.copied": "कॉपी झाले", @@ -1661,6 +1691,45 @@ "मोबाइल फोटोतून टेक्स्ट कॉपी करा" ] }, + "remove-background": { + "name": "बॅकग्राउंड काढा", + "summary": "एखादी व्यक्ती, वस्तू किंवा पाळीव प्राणी कापून वेगळा करा आणि मागे हवे ते लावा.", + "action": "इमेज डाउनलोड करा", + "title": "फोटोची बॅकग्राउंड काढा मोफत — विना अपलोड | Fizzdoc", + "description": "कोणत्याही फोटोची बॅकग्राउंड मोफत काढा, पूर्ण रेझोल्यूशनमध्ये: पारदर्शक PNG, पांढरा, कोणताही रंग किंवा तुमचा फोटो. काहीही अपलोड होत नाही.", + "h1": "कोणत्याही फोटोची बॅकग्राउंड काढा", + "lede": "एक फोटो निवडा आणि बॅकग्राउंड आपोआप गायब होते. ती पारदर्शक ठेवा, किंवा मागे पांढरा, कोणताही रंग, हलका धूसरपणा किंवा दुसरा फोटो लावा. AI तुमच्या स्वतःच्या डिव्हाइसवर चालते, म्हणून तुमचा फोटो कुठेही जात नाही.", + "steps": [ + "एक फोटो निवडा. बॅकग्राउंड लगेच निघते.", + "मागे काय हवे ते निवडा: काही नाही, रंग, धूसरपणा किंवा तुमचा फोटो. गरज असल्यास एखादी जागा दुरुस्त करा.", + "आकार निवडा, मग “इमेज डाउनलोड करा” वर क्लिक करा." + ], + "faq": [ + [ + "माझ्या फाइल्स कुठेही अपलोड होतात का?", + "नाही. Fizzdoc हे काम तुमच्या ब्राउझर टॅबमध्येच करतो, WebAssembly आणि JavaScript मध्ये कंपाइल केलेल्या ओपन-सोर्स इंजिनांचा वापर करून. तुमची फाइल तुमच्या डिव्हाइसवरून वाचली जाते, स्थानिक पातळीवर प्रोसेस होते आणि निकाल थेट तुमच्या डिव्हाइसवर सेव्ह होतो. हे तुम्ही स्वतः पडताळून पाहू शकता: ब्राउझरचे डेव्हलपर टूल्स उघडा, Network टॅबवर जा आणि एखादे काम चालवा — कोणतीही रिक्वेस्ट तुमची फाइल घेऊन जात नाही." + ], + [ + "माझ्या फोटोची गुणवत्ता कमी होईल का?", + "नाही. कापलेला फोटो त्याचे पूर्ण रेझोल्यूशन राखतो, Fizzdoc कडून आकाराची कोणतीही मर्यादा नाही. केस आणि लवीच्या कडा पूर्ण आकारातच स्वच्छ केल्या जातात, म्हणून कोणत्याही नवीन बॅकग्राउंडवर नैसर्गिक दिसतात. हवे असल्यास लहान प्रतही सेव्ह करू शकता." + ], + [ + "अपलोड न करता हे कसे चालते?", + "एक ओपन-सोर्स AI मॉडेल (BiRefNet) तुमच्या ब्राउझरमध्येच चालते, डिव्हाइसमध्ये ग्राफिक्स चिप असल्यास तिच्यावर. ते एकदाच सुमारे 110 MB डाउनलोड होते, मग ऑफलाइनही चालते. कमी मेमरीचे फोन लहान मॉडेल (U²-Net) वापरतात." + ], + [ + "Fizzdoc मोफत आहे का?", + "होय, आणि हा कायम मोफत राहील: साइन-अप नाही, वॉटरमार्क नाही, रोजची मर्यादा नाही आणि प्रीमियम प्लॅनही नाही. Fizzdoc हा Apache-2.0 लायसन्स अंतर्गत ओपन सोर्स आहे, त्यामुळे कोणीही स्वतःची कॉपी चालवू शकतो." + ] + ], + "keywords": [ + "फोटोची बॅकग्राउंड काढा", + "बॅकग्राउंड रिमूव्ह मोफत", + "फोटोची बॅकग्राउंड पांढरी करा", + "विना अपलोड बॅकग्राउंड काढा", + "remove bg" + ] + }, "png-to-jpg": { "name": "PNG ते JPG", "summary": "PNG इमेज एकाच वेळी अनेक JPG मध्ये बदला.", diff --git a/src/i18n/nl.json b/src/i18n/nl.json index 4e3e218..091d742 100644 --- a/src/i18n/nl.json +++ b/src/i18n/nl.json @@ -96,6 +96,7 @@ "ws.fmtJpeg": "JPG — foto's, overal te openen", "ws.fmtWebp": "WebP — kleinste", "ws.fmtPng": "PNG — zonder kwaliteitsverlies", + "ws.fmtAuto": "Beste keuze: PNG als de achtergrond transparant is, anders JPG", "ws.quality": "Kwaliteit", "ws.width": "Breedte (px)", "ws.height": "Hoogte (px)", @@ -182,6 +183,9 @@ "error.BAD_JSON": "Dit bestand is geen geldige JSON. Controleer op een ontbrekende komma, aanhalingsteken of haakje.", "error.BAD_JSON_AT": "Dit bestand is geen geldige JSON: er zit een fout bij regel {line}, kolom {column}. Controleer op een ontbrekende komma, aanhalingsteken of haakje.", "error.SHEET_TOO_BIG": "Dat is meer dan één Excel-blad aankan (1.048.576 rijen en 16.384 kolommen). Splits de gegevens op in kleinere bestanden.", + "error.BG_SETUP_FAILED": "De achtergrondverwijderaar kon niet worden geladen. Controleer je internetverbinding voor de eenmalige download en probeer het opnieuw.", + "error.BACKGROUND_FAILED": "Het verwijderen van de achtergrond stopte onverwacht, meestal omdat dit apparaat te weinig geheugen had. Probeer een kleinere foto, of sluit andere tabbladen en probeer het opnieuw.", + "error.IMAGE_TOO_LARGE": "Deze foto is te groot om in dit formaat op te slaan met deze browser. Kies onder “Formaat” een kleiner formaat.", "error.NO_DIAGRAM": "Plak je Mermaid-code of kies een .mmd- of .md-bestand.", "error.BAD_DIAGRAM": "De diagramcode bevat een fout: {detail}", "error.ENGINE_FAILED": "De PDF-engine stopte onverwacht — het bestand is mogelijk te groot voor dit apparaat.", @@ -225,6 +229,32 @@ "ed.removeBox": "Tekstvak verwijderen", "ed.replaced": "Sommige tekens worden niet ondersteund door de standaard PDF-lettertypen en zijn vervangen.", "ed.hint": "Gewijzigde regels houden het lettertype van de pdf als dat alle getypte letters bevat; anders worden ze bedekt en opnieuw geschreven. Overschilderen verbergt alleen — gebruik voor gevoelige gegevens PDF zwart lakken.", + "bg.previewLabel": "Jouw foto met de nieuwe achtergrond", + "bg.preparing": "De achtergrondverwijderaar wordt klaargemaakt: {loaded} van {total} MB. Deze download gebeurt maar één keer.", + "bg.working": "Achtergrond wordt verwijderd… {pct}%", + "bg.lite": "Dit apparaat heeft weinig geheugen, dus er is een lichter model gebruikt. Op een laptop worden de randen netter.", + "bg.compare": "Houd ingedrukt om het origineel te zien", + "bg.background": "Achtergrond", + "bg.none": "Geen", + "bg.white": "Wit", + "bg.black": "Zwart", + "bg.blue": "Blauw", + "bg.red": "Rood", + "bg.green": "Groen", + "bg.gray": "Grijs", + "bg.custom": "Elke kleur", + "bg.photo": "Jouw foto", + "bg.blur": "Vervagen", + "bg.size": "Formaat", + "bg.original": "Oorspronkelijk formaat ({w} × {h} px)", + "bg.widthOption": "{w} × {h} px", + "bg.customSize": "Eigen breedte…", + "bg.widthLabel": "Breedte in pixels", + "bg.touch": "Bijwerken (indien nodig)", + "bg.touchHint": "Is er een plekje gemist? Kies Wissen of Herstellen en ga dan met je vinger of muis over de foto.", + "bg.erase": "Wissen", + "bg.restore": "Herstellen", + "bg.brush": "Penseelgrootte", "ocr.unsure": "Een deel van deze tekst kan onjuist zijn. Tekstherkenning leest rechtop staande Engelse tekst: draai scheve foto's eerst, en andere schriften komen er rommelig uit.", "ocr.copyAll": "Alle tekst kopiëren", "ocr.copied": "Gekopieerd", @@ -1661,6 +1691,45 @@ "tekst uit telefoonfoto kopiëren" ] }, + "remove-background": { + "name": "Achtergrond Verwijderen", + "summary": "Knip een persoon, product of huisdier uit en zet er alles achter wat je wilt.", + "action": "Afbeelding downloaden", + "title": "Achtergrond Verwijderen Gratis — Zonder Uploaden | Fizzdoc", + "description": "Verwijder de achtergrond van elke foto gratis en in volledige resolutie: transparante PNG, wit, elke kleur of je eigen foto. Er wordt niets geüpload.", + "h1": "Verwijder de achtergrond van elke foto", + "lede": "Kies een foto en de achtergrond verdwijnt vanzelf. Laat hem transparant, of zet er wit, een kleur, een zachte vervaging of een andere foto achter. De AI draait op je eigen apparaat, dus je foto verlaat het nooit.", + "steps": [ + "Kies een foto. De achtergrond is meteen weg.", + "Kies wat erachter komt: niets, een kleur, vervaging of je eigen foto. Werk een plekje bij als dat nodig is.", + "Kies het formaat en klik op “Afbeelding downloaden”." + ], + "faq": [ + [ + "Worden mijn bestanden ergens geüpload?", + "Nee. Fizzdoc doet het werk in je browsertab, met opensource-engines die zijn gecompileerd naar WebAssembly en JavaScript. Je bestand wordt van je apparaat gelezen, lokaal verwerkt, en het resultaat wordt direct weer op je apparaat opgeslagen. Je kunt dit zelf controleren: open de ontwikkelaarstools van je browser, ga naar het tabblad Netwerk en voer een taak uit — er wordt geen enkel verzoek met je bestand verstuurd." + ], + [ + "Gaat mijn foto in kwaliteit achteruit?", + "Nee. De uitsnede behoudt de volledige resolutie van je foto, zonder maximale grootte van Fizzdoc. Randen van haar en vacht worden op volle grootte opgeschoond, zodat ze er op elke nieuwe achtergrond natuurlijk uitzien. Je kunt ook een kleinere kopie opslaan." + ], + [ + "Hoe werkt het zonder uploaden?", + "Een open-source AI-model (BiRefNet) draait in je browser, op je grafische chip als je apparaat die heeft. Het wordt één keer gedownload, ongeveer 110 MB, en werkt daarna zelfs offline. Telefoons met weinig geheugen gebruiken een kleiner model (U²-Net)." + ], + [ + "Is Fizzdoc gratis?", + "Ja, en het blijft gratis: geen account, geen watermerk, geen dagelijkse limiet en geen premium-abonnement. Fizzdoc is open source onder de Apache-2.0-licentie, dus iedereen kan zijn eigen versie draaien." + ] + ], + "keywords": [ + "achtergrond verwijderen foto", + "achtergrond verwijderen gratis", + "foto achtergrond wit maken", + "achtergrond weghalen zonder uploaden", + "remove bg" + ] + }, "png-to-jpg": { "name": "PNG naar JPG", "summary": "Converteer PNG-afbeeldingen in bulk naar JPG.", @@ -2777,4 +2846,4 @@ ] } } -} \ No newline at end of file +} diff --git a/src/i18n/pl.json b/src/i18n/pl.json index 7d700e3..029c23e 100644 --- a/src/i18n/pl.json +++ b/src/i18n/pl.json @@ -96,6 +96,7 @@ "ws.fmtJpeg": "JPG — zdjęcia, otwiera się wszędzie", "ws.fmtWebp": "WebP — najmniejszy rozmiar", "ws.fmtPng": "PNG — bezstratny", + "ws.fmtAuto": "Najlepszy wybór: PNG, gdy tło jest przezroczyste, w innym razie JPG", "ws.quality": "Jakość", "ws.width": "Szerokość (px)", "ws.height": "Wysokość (px)", @@ -182,6 +183,9 @@ "error.BAD_JSON": "Ten plik nie jest poprawnym JSON-em. Sprawdź, czy nie brakuje przecinka, cudzysłowu lub nawiasu.", "error.BAD_JSON_AT": "Ten plik nie jest poprawnym JSON-em: problem występuje w pobliżu wiersza {line}, kolumny {column}. Sprawdź, czy nie brakuje przecinka, cudzysłowu lub nawiasu.", "error.SHEET_TOO_BIG": "To więcej, niż mieści jeden arkusz Excela (1 048 576 wierszy i 16 384 kolumn). Podziel dane na mniejsze pliki.", + "error.BG_SETUP_FAILED": "Nie udało się załadować narzędzia do usuwania tła. Sprawdź połączenie z internetem na czas jednorazowego pobierania i spróbuj ponownie.", + "error.BACKGROUND_FAILED": "Usuwanie tła nagle się zatrzymało, zwykle dlatego, że w tym urządzeniu zabrakło pamięci. Wybierz mniejsze zdjęcie albo zamknij inne karty i spróbuj ponownie.", + "error.IMAGE_TOO_LARGE": "To zdjęcie jest za duże, by ta przeglądarka zapisała je w takim rozmiarze. Wybierz mniejszy rozmiar w polu „Rozmiar”.", "error.NO_DIAGRAM": "Wklej kod Mermaid lub wybierz plik .mmd albo .md.", "error.BAD_DIAGRAM": "Kod diagramu zawiera błąd: {detail}", "error.ENGINE_FAILED": "Silnik PDF nieoczekiwanie się zatrzymał — plik może być zbyt duży dla tego urządzenia.", @@ -225,6 +229,32 @@ "ed.removeBox": "Usuń pole tekstowe", "ed.replaced": "Niektóre znaki nie są obsługiwane przez standardowe czcionki PDF i zostały zastąpione.", "ed.hint": "Zmienione wiersze zachowują czcionkę PDF, jeśli ma wszystkie wpisane litery; w przeciwnym razie są zakrywane i pisane na nowo. Zamalowanie tylko ukrywa — do poufnych danych użyj Cenzuruj PDF.", + "bg.previewLabel": "Twoje zdjęcie z nowym tłem", + "bg.preparing": "Przygotowywanie narzędzia do usuwania tła: {loaded} z {total} MB. To pobieranie odbywa się tylko raz.", + "bg.working": "Usuwanie tła… {pct}%", + "bg.lite": "To urządzenie ma mało pamięci, więc użyto lżejszego modelu. Na laptopie krawędzie wychodzą czystsze.", + "bg.compare": "Przytrzymaj, aby zobaczyć oryginał", + "bg.background": "Tło", + "bg.none": "Brak", + "bg.white": "Białe", + "bg.black": "Czarne", + "bg.blue": "Niebieskie", + "bg.red": "Czerwone", + "bg.green": "Zielone", + "bg.gray": "Szare", + "bg.custom": "Dowolny kolor", + "bg.photo": "Twoje zdjęcie", + "bg.blur": "Rozmycie", + "bg.size": "Rozmiar", + "bg.original": "Oryginalny rozmiar ({w} × {h} px)", + "bg.widthOption": "{w} × {h} px", + "bg.customSize": "Własna szerokość…", + "bg.widthLabel": "Szerokość w pikselach", + "bg.touch": "Popraw (w razie potrzeby)", + "bg.touchHint": "Coś zostało pominięte? Wybierz Wymaż lub Przywróć, a potem przesuń palcem lub myszką po zdjęciu.", + "bg.erase": "Wymaż", + "bg.restore": "Przywróć", + "bg.brush": "Rozmiar pędzla", "ocr.unsure": "Część tego tekstu może być błędna. Rozpoznawanie czyta prosty tekst angielski: najpierw obróć zdjęcia bokiem, a inne alfabety mogą wyjść zniekształcone.", "ocr.copyAll": "Kopiuj cały tekst", "ocr.copied": "Skopiowano", @@ -1661,6 +1691,45 @@ "skopiuj tekst ze zdjęcia z telefonu" ] }, + "remove-background": { + "name": "Usuń Tło", + "summary": "Wytnij osobę, produkt lub zwierzaka i wstaw za nim cokolwiek zechcesz.", + "action": "Pobierz obraz", + "title": "Usuń Tło ze Zdjęcia za Darmo — Bez Wysyłania | Fizzdoc", + "description": "Usuń tło z dowolnego zdjęcia za darmo, w pełnej rozdzielczości: przezroczysty PNG, biel, dowolny kolor lub własne zdjęcie. Nic nie jest wysyłane.", + "h1": "Usuń tło z dowolnego zdjęcia", + "lede": "Wybierz zdjęcie, a tło zniknie samo. Zostaw je przezroczyste albo wstaw za nim biel, dowolny kolor, delikatne rozmycie lub inne zdjęcie. Sztuczna inteligencja działa na Twoim urządzeniu, więc zdjęcie nigdy go nie opuszcza.", + "steps": [ + "Wybierz zdjęcie. Tło znika od razu.", + "Wybierz, co ma być z tyłu: nic, kolor, rozmycie lub własne zdjęcie. W razie potrzeby popraw jakieś miejsce.", + "Wybierz rozmiar i kliknij „Pobierz obraz”." + ], + "faq": [ + [ + "Czy moje pliki są gdzieś przesyłane?", + "Nie. Fizzdoc wykonuje całą pracę w karcie przeglądarki, korzystając z otwartoźródłowych silników skompilowanych do WebAssembly i JavaScript. Twój plik jest odczytywany z urządzenia, przetwarzany lokalnie, a wynik trafia od razu z powrotem na Twoje urządzenie. Możesz to sam sprawdzić: otwórz narzędzia deweloperskie przeglądarki, przejdź do zakładki Sieć i uruchom zadanie — żadne żądanie nie przenosi Twojego pliku." + ], + [ + "Czy zdjęcie straci na jakości?", + "Nie. Wycięty obraz zachowuje pełną rozdzielczość zdjęcia, bez limitu rozmiaru ze strony Fizzdoc. Krawędzie włosów i sierści są czyszczone w pełnym rozmiarze, więc wyglądają naturalnie na każdym nowym tle. Możesz też zapisać mniejszą kopię." + ], + [ + "Jak to działa bez wysyłania?", + "Otwartoźródłowy model AI (BiRefNet) działa w Twojej przeglądarce, na układzie graficznym, jeśli urządzenie go ma. Pobiera się raz, około 110 MB, a potem działa nawet bez internetu. Telefony z małą ilością pamięci używają mniejszego modelu (U²-Net)." + ], + [ + "Czy Fizzdoc jest darmowy?", + "Tak, i zawsze będzie za darmo: bez rejestracji, bez znaku wodnego, bez dziennego limitu i bez płatnej wersji. Fizzdoc jest open source na licencji Apache-2.0, więc każdy może uruchomić własną kopię." + ] + ], + "keywords": [ + "usuń tło ze zdjęcia", + "usuwanie tła online za darmo", + "białe tło do zdjęcia", + "usuń tło bez wysyłania zdjęcia", + "remove bg" + ] + }, "png-to-jpg": { "name": "PNG na JPG", "summary": "Konwertuj obrazy PNG na JPG hurtowo.", diff --git a/src/i18n/pt.json b/src/i18n/pt.json index cd4991e..d6a0769 100644 --- a/src/i18n/pt.json +++ b/src/i18n/pt.json @@ -96,6 +96,7 @@ "ws.fmtJpeg": "JPG — fotos, abre em qualquer lugar", "ws.fmtWebp": "WebP — o menor", "ws.fmtPng": "PNG — sem perda de qualidade", + "ws.fmtAuto": "Melhor opção: PNG se o fundo for transparente, senão JPG", "ws.quality": "Qualidade", "ws.width": "Largura (px)", "ws.height": "Altura (px)", @@ -182,6 +183,9 @@ "error.BAD_JSON": "Este arquivo não é um JSON válido. Verifique se falta uma vírgula, aspas ou um colchete.", "error.BAD_JSON_AT": "Este arquivo não é um JSON válido: há um problema perto da linha {line}, coluna {column}. Verifique se falta uma vírgula, aspas ou um colchete.", "error.SHEET_TOO_BIG": "Isso é mais do que cabe em uma planilha do Excel (1.048.576 linhas e 16.384 colunas). Divida os dados em arquivos menores.", + "error.BG_SETUP_FAILED": "Não foi possível carregar o removedor de fundo. Verifique sua conexão com a internet para o download único e tente de novo.", + "error.BACKGROUND_FAILED": "A remoção do fundo parou de repente, geralmente porque este aparelho ficou sem memória. Tente uma foto menor, ou feche outras abas e tente de novo.", + "error.IMAGE_TOO_LARGE": "Esta foto é grande demais para este navegador salvar nesse tamanho. Escolha um tamanho menor em “Tamanho”.", "error.NO_DIAGRAM": "Cole seu código Mermaid ou escolha um arquivo .mmd ou .md.", "error.BAD_DIAGRAM": "O código do diagrama tem um erro: {detail}", "error.ENGINE_FAILED": "O mecanismo de PDF parou inesperadamente — o arquivo pode ser grande demais para este dispositivo.", @@ -225,6 +229,32 @@ "ed.removeBox": "Remover caixa de texto", "ed.replaced": "Alguns caracteres não são suportados pelas fontes padrão de PDF e foram substituídos.", "ed.hint": "As linhas alteradas mantêm a fonte do PDF se ela tiver todas as letras que você digitar; se não, são cobertas e escritas de novo. Cobrir (branco) só esconde — para dados sensíveis, use Censurar PDF.", + "bg.previewLabel": "Sua foto com o novo fundo", + "bg.preparing": "Preparando o removedor de fundo: {loaded} de {total} MB. Este download acontece só uma vez.", + "bg.working": "Removendo o fundo… {pct}%", + "bg.lite": "Este aparelho tem pouca memória, então foi usado um modelo mais leve. Um notebook dá bordas mais limpas.", + "bg.compare": "Segure para ver o original", + "bg.background": "Fundo", + "bg.none": "Nenhum", + "bg.white": "Branco", + "bg.black": "Preto", + "bg.blue": "Azul", + "bg.red": "Vermelho", + "bg.green": "Verde", + "bg.gray": "Cinza", + "bg.custom": "Qualquer cor", + "bg.photo": "Sua foto", + "bg.blur": "Desfoque", + "bg.size": "Tamanho", + "bg.original": "Tamanho original ({w} × {h} px)", + "bg.widthOption": "{w} × {h} px", + "bg.customSize": "Largura personalizada…", + "bg.widthLabel": "Largura em pixels", + "bg.touch": "Retocar (se precisar)", + "bg.touchHint": "Ficou alguma parte para trás? Escolha Apagar ou Restaurar e passe o dedo ou o mouse sobre ela na foto.", + "bg.erase": "Apagar", + "bg.restore": "Restaurar", + "bg.brush": "Tamanho do pincel", "ocr.unsure": "Parte deste texto pode estar errada. O reconhecimento lê texto em inglês na posição certa: gire antes as fotos de lado e espere que outros alfabetos saiam embaralhados.", "ocr.copyAll": "Copiar todo o texto", "ocr.copied": "Copiado", @@ -1661,6 +1691,45 @@ "copiar texto de uma foto do celular" ] }, + "remove-background": { + "name": "Remover Fundo", + "summary": "Recorte uma pessoa, um produto ou um bichinho e coloque o que quiser atrás.", + "action": "Baixar imagem", + "title": "Remover Fundo de Imagem Grátis — Sem Enviar Nada | Fizzdoc", + "description": "Remova o fundo de qualquer foto de graça e em resolução total: PNG transparente, branco, qualquer cor ou sua própria foto. Nada é enviado.", + "h1": "Remova o fundo de qualquer foto", + "lede": "Escolha uma foto e o fundo some sozinho. Deixe transparente, ou coloque atrás branco, qualquer cor, um desfoque suave ou outra foto. A IA roda no seu próprio aparelho, então sua foto nunca sai dele.", + "steps": [ + "Escolha uma foto. O fundo é removido na hora.", + "Escolha o que fica atrás: nada, uma cor, um desfoque ou sua própria foto. Retoque qualquer parte, se precisar.", + "Escolha o tamanho e clique em “Baixar imagem”." + ], + "faq": [ + [ + "Meus arquivos são enviados para algum lugar?", + "Não. O Fizzdoc faz todo o trabalho dentro da aba do seu navegador, usando mecanismos de código aberto compilados para WebAssembly e JavaScript. Seu arquivo é lido do seu dispositivo, processado localmente, e o resultado é salvo direto de volta nele. Você pode conferir por conta própria: abra as ferramentas de desenvolvedor do navegador, vá até a aba Rede e rode uma tarefa — nenhuma requisição leva seu arquivo." + ], + [ + "Minha foto vai perder qualidade?", + "Não. O recorte mantém a resolução total da sua foto, sem limite de tamanho do Fizzdoc. As bordas de cabelo e pelos são limpas no tamanho total, então ficam naturais sobre qualquer fundo novo. Você também pode salvar uma cópia menor." + ], + [ + "Como funciona sem enviar nada?", + "Um modelo de IA de código aberto (BiRefNet) roda dentro do seu navegador, na placa de vídeo quando o aparelho tem uma. Ele é baixado uma só vez, cerca de 110 MB, e depois funciona até sem internet. Celulares com pouca memória usam um modelo menor (U²-Net)." + ], + [ + "O Fizzdoc é gratuito?", + "Sim, e vai continuar sendo grátis: sem cadastro, sem marca d'água, sem limite diário e sem plano premium. O Fizzdoc é open source sob a licença Apache-2.0, então qualquer um pode rodar sua própria cópia." + ] + ], + "keywords": [ + "remover fundo de foto", + "remover fundo de imagem grátis", + "colocar fundo branco em foto", + "remover fundo sem enviar foto", + "remove bg" + ] + }, "png-to-jpg": { "name": "PNG para JPG", "summary": "Converta imagens PNG para JPG em lote.", diff --git a/src/i18n/ta.json b/src/i18n/ta.json index d03bc45..db273df 100644 --- a/src/i18n/ta.json +++ b/src/i18n/ta.json @@ -96,6 +96,7 @@ "ws.fmtJpeg": "JPG — புகைப்படங்கள், எங்கும் திறக்கும்", "ws.fmtWebp": "WebP — மிகச் சிறியது", "ws.fmtPng": "PNG — தரம் குறையாதது", + "ws.fmtAuto": "சிறந்தது: பின்னணி தெளிவாக இருந்தால் PNG, இல்லையெனில் JPG", "ws.quality": "தரம்", "ws.width": "அகலம் (px)", "ws.height": "உயரம் (px)", @@ -182,6 +183,9 @@ "error.BAD_JSON": "இந்தக் கோப்பு சரியான JSON இல்லை. கமா, மேற்கோள் குறி அல்லது அடைப்புக்குறி விடுபட்டுள்ளதா எனச் சரிபார்க்கவும்.", "error.BAD_JSON_AT": "இந்தக் கோப்பு சரியான JSON இல்லை: வரி {line}, நெடுவரிசை {column} அருகே சிக்கல் உள்ளது. கமா, மேற்கோள் குறி அல்லது அடைப்புக்குறி விடுபட்டுள்ளதா எனச் சரிபார்க்கவும்.", "error.SHEET_TOO_BIG": "இது ஒரு Excel ஷீட் தாங்கக்கூடியதை (1,048,576 வரிசைகள், 16,384 நெடுவரிசைகள்) விட அதிகம். தரவை சிறிய கோப்புகளாகப் பிரிக்கவும்.", + "error.BG_SETUP_FAILED": "பின்னணி நீக்கும் கருவியை ஏற்ற முடியவில்லை. ஒரு முறை பதிவிறக்கத்துக்கு உங்கள் இணைய இணைப்பைப் பார்த்து, மீண்டும் முயலுங்கள்.", + "error.BACKGROUND_FAILED": "பின்னணி நீக்கம் திடீரென நின்றுவிட்டது, பொதுவாக இந்தச் சாதனத்தின் நினைவகம் தீர்ந்ததால். சிறிய படத்தைத் தேர்ந்தெடுங்கள், அல்லது மற்ற டேப்களை மூடிவிட்டு மீண்டும் முயலுங்கள்.", + "error.IMAGE_TOO_LARGE": "இந்தப் படம் அந்த அளவில் சேமிக்க இந்த உலாவிக்கு மிகப் பெரியது. “அளவு” என்பதில் சிறிய அளவைத் தேர்ந்தெடுங்கள்.", "error.NO_DIAGRAM": "உங்கள் Mermaid குறியீட்டை ஒட்டவும், அல்லது ஒரு .mmd அல்லது .md கோப்பைத் தேர்ந்தெடுக்கவும்.", "error.BAD_DIAGRAM": "வரைபடக் குறியீட்டில் பிழை உள்ளது: {detail}", "error.ENGINE_FAILED": "PDF இன்ஜின் எதிர்பாராமல் நின்றுவிட்டது — கோப்பு இந்த டிவைஸிற்கு மிகப் பெரியதாக இருக்கலாம்.", @@ -225,6 +229,32 @@ "ed.removeBox": "உரைப் பெட்டியை நீக்கு", "ed.replaced": "நிலையான PDF ஃபாண்ட்களால் ஆதரிக்கப்படாத சில எழுத்துகள் மாற்றப்பட்டன.", "ed.hint": "நீங்கள் தட்டச்சு செய்யும் எல்லா எழுத்துகளும் இருந்தால் மாற்றிய வரிகள் PDF-இன் சொந்த ஃபாண்டையே வைத்திருக்கும்; இல்லையென்றால் மறைத்து மீண்டும் எழுதப்படும். வெள்ளையாக்கு மறைக்கிறது மட்டுமே — ரகசிய தரவுக்கு PDF ரிடாக்ட் செய் பயன்படுத்துங்கள்.", + "bg.previewLabel": "புதிய பின்னணியுடன் உங்கள் படம்", + "bg.preparing": "பின்னணி நீக்கும் கருவி தயாராகிறது: {total} MB-இல் {loaded} MB. இந்தப் பதிவிறக்கம் ஒரு முறை மட்டுமே நடக்கும்.", + "bg.working": "பின்னணி நீக்கப்படுகிறது… {pct}%", + "bg.lite": "இந்தச் சாதனத்தில் நினைவகம் குறைவு, அதனால் இலகுவான மாடல் பயன்படுத்தப்பட்டது. லேப்டாப்பில் ஓரங்கள் இன்னும் தெளிவாக வரும்.", + "bg.compare": "அசல் படத்தைப் பார்க்க அழுத்திப் பிடியுங்கள்", + "bg.background": "பின்னணி", + "bg.none": "இல்லை", + "bg.white": "வெள்ளை", + "bg.black": "கருப்பு", + "bg.blue": "நீலம்", + "bg.red": "சிவப்பு", + "bg.green": "பச்சை", + "bg.gray": "சாம்பல்", + "bg.custom": "எந்த நிறமும்", + "bg.photo": "உங்கள் புகைப்படம்", + "bg.blur": "மங்கலாக்கு", + "bg.size": "அளவு", + "bg.original": "அசல் அளவு ({w} × {h} px)", + "bg.widthOption": "{w} × {h} px", + "bg.customSize": "சொந்த அகலம்…", + "bg.widthLabel": "அகலம் (பிக்சலில்)", + "bg.touch": "சரிசெய்ய (தேவைப்பட்டால்)", + "bg.touchHint": "ஏதாவது இடம் விடுபட்டதா? அழி அல்லது மீட்டெடு என்பதைத் தேர்ந்தெடுத்து, படத்தின் மேல் விரலால் அல்லது மவுஸால் தேயுங்கள்.", + "bg.erase": "அழி", + "bg.restore": "மீட்டெடு", + "bg.brush": "பிரஷ் அளவு", "ocr.unsure": "இந்த உரையில் சில பிழைகள் இருக்கலாம். உரை அறிதல் நேராக உள்ள ஆங்கில உரையைப் படிக்கும்: சாய்ந்த புகைப்படங்களை முதலில் சுழற்றுங்கள்; பிற எழுத்துமுறைகள் சிதைந்து வரலாம்.", "ocr.copyAll": "அனைத்து உரையையும் காபி செய்", "ocr.copied": "காபி செய்யப்பட்டது", @@ -1661,6 +1691,45 @@ "மொபைல் படத்திலிருந்து உரை காப்பி" ] }, + "remove-background": { + "name": "பின்னணியை நீக்கு", + "summary": "ஒரு நபர், பொருள் அல்லது செல்லப்பிராணியை வெட்டி எடுத்து, பின்னால் எதை வேண்டுமானாலும் வையுங்கள்.", + "action": "படத்தைப் பதிவிறக்கு", + "title": "படப் பின்னணி நீக்க இலவசம் — பதிவேற்றம் இல்லை | Fizzdoc", + "description": "எந்தப் புகைப்படத்தின் பின்னணியையும் இலவசமாக நீக்குங்கள், முழுத் தெளிவுடன்: வெளிப்படையான PNG, வெள்ளை, எந்த நிறம் அல்லது உங்கள் படம். எதுவும் பதிவேற்றப்படாது.", + "h1": "எந்தப் புகைப்படத்தின் பின்னணியையும் நீக்குங்கள்", + "lede": "ஒரு புகைப்படத்தைத் தேர்ந்தெடுங்கள், பின்னணி தானாகவே மறைந்துவிடும். வெளிப்படையாக வைக்கலாம், அல்லது பின்னால் வெள்ளை, எந்த நிறம், மென்மையான மங்கல் அல்லது வேறொரு படத்தை வைக்கலாம். AI உங்கள் சொந்தச் சாதனத்திலேயே இயங்குகிறது, அதனால் உங்கள் படம் எங்கும் செல்லாது.", + "steps": [ + "ஒரு புகைப்படத்தைத் தேர்ந்தெடுங்கள். பின்னணி உடனே நீங்கிவிடும்.", + "பின்னால் என்ன வேண்டும் என்பதைத் தேர்ந்தெடுங்கள்: எதுவும் இல்லை, நிறம், மங்கல் அல்லது உங்கள் படம். தேவைப்பட்டால் ஏதாவது இடத்தைச் சரிசெய்யுங்கள்.", + "அளவைத் தேர்ந்தெடுத்து, “படத்தைப் பதிவிறக்கு” என்பதைக் கிளிக் செய்யுங்கள்." + ], + "faq": [ + [ + "எனது கோப்புகள் எங்காவது பதிவேற்றப்படுமா?", + "இல்லை. Fizzdoc உங்கள் பிரௌசர் டேபிற்குள்ளேயே வேலை செய்கிறது, WebAssembly மற்றும் JavaScript-ல் தொகுக்கப்பட்ட ஓப்பன் சோர்ஸ் இன்ஜின்களைப் பயன்படுத்தி. உங்கள் கோப்பு உங்கள் டிவைஸிலிருந்து படிக்கப்பட்டு, அதிலேயே செயலாக்கப்பட்டு, முடிவு நேரடியாக உங்கள் டிவைஸில் சேமிக்கப்படுகிறது. இதை நீங்களே சரிபார்க்கலாம்: உங்கள் பிரௌசரின் டெவலப்பர் டூல்ஸை திறந்து, Network டேபிற்குச் சென்று, ஒரு பணியை இயக்குங்கள் — எந்த ரிக்வெஸ்ட்டும் உங்கள் கோப்பை எடுத்துச் செல்லாது." + ], + [ + "என் படத்தின் தரம் குறையுமா?", + "இல்லை. வெட்டப்பட்ட படம் அதன் முழுத் தெளிவை அப்படியே வைத்திருக்கும், Fizzdoc தரப்பில் அளவு வரம்பு எதுவும் இல்லை. முடி மற்றும் ரோமத்தின் ஓரங்கள் முழு அளவிலேயே சுத்தம் செய்யப்படும், அதனால் எந்தப் புதிய பின்னணியிலும் இயற்கையாகத் தெரியும். விரும்பினால் சிறிய நகலையும் சேமிக்கலாம்." + ], + [ + "பதிவேற்றாமல் இது எப்படி வேலை செய்கிறது?", + "ஒரு திறந்த மூல AI மாடல் (BiRefNet) உங்கள் உலாவிக்குள்ளேயே இயங்குகிறது, சாதனத்தில் கிராபிக்ஸ் சிப் இருந்தால் அதில். இது ஒரு முறை சுமார் 110 MB பதிவிறக்கமாகும், பிறகு இணையம் இல்லாமலும் வேலை செய்யும். நினைவகம் குறைந்த போன்கள் சிறிய மாடலை (U²-Net) பயன்படுத்தும்." + ], + [ + "Fizzdoc இலவசமா?", + "ஆம், இது எப்போதும் இலவசமாகவே இருக்கும்: சைன் அப் இல்லை, வாட்டர்மார்க் இல்லை, தினசரி வரம்பு இல்லை, பிரீமியம் திட்டமும் இல்லை. Fizzdoc Apache-2.0 லைசென்ஸின் கீழ் ஓப்பன் சோர்ஸ், எனவே யார் வேண்டுமானாலும் தங்கள் சொந்தக் காப்பியை இயக்கலாம்." + ] + ], + "keywords": [ + "படத்தின் பின்னணியை நீக்க", + "பேக்கிரவுண்ட் ரிமூவ் இலவசம்", + "புகைப்பட பின்னணியை வெள்ளையாக்க", + "பதிவேற்றம் இல்லாமல் பின்னணி நீக்க", + "remove bg" + ] + }, "png-to-jpg": { "name": "PNG ஐ JPG ஆக மாற்று", "summary": "PNG படங்களை பலவற்றை ஒன்றாக JPG ஆக மாற்றவும்.", diff --git a/src/i18n/te.json b/src/i18n/te.json index 3dae4f3..7120705 100644 --- a/src/i18n/te.json +++ b/src/i18n/te.json @@ -96,6 +96,7 @@ "ws.fmtJpeg": "JPG — ఫోటోలకు, ఎక్కడైనా తెరుచుకుంటుంది", "ws.fmtWebp": "WebP — అతిచిన్నది", "ws.fmtPng": "PNG — లాస్‌లెస్", + "ws.fmtAuto": "ఉత్తమం: బ్యాక్‌గ్రౌండ్ పారదర్శకంగా ఉంటే PNG, లేకపోతే JPG", "ws.quality": "నాణ్యత", "ws.width": "వెడల్పు (px)", "ws.height": "ఎత్తు (px)", @@ -182,6 +183,9 @@ "error.BAD_JSON": "ఈ ఫైల్ చెల్లుబాటు అయ్యే JSON కాదు. కామా, కోట్ లేదా బ్రాకెట్ ఏదైనా మిస్ అయిందేమో చూడండి.", "error.BAD_JSON_AT": "ఈ ఫైల్ చెల్లుబాటు అయ్యే JSON కాదు: లైన్ {line}, కాలమ్ {column} దగ్గర సమస్య ఉంది. కామా, కోట్ లేదా బ్రాకెట్ ఏదైనా మిస్ అయిందేమో చూడండి.", "error.SHEET_TOO_BIG": "ఇది ఒక Excel షీట్ పట్టగలిగే దానికంటే ఎక్కువ (1,048,576 అడ్డువరుసలు, 16,384 నిలువు వరుసలు). డేటాను చిన్న ఫైల్స్‌గా విభజించండి.", + "error.BG_SETUP_FAILED": "బ్యాక్‌గ్రౌండ్ తీసే టూల్ లోడ్ కాలేదు. ఒక్కసారి జరిగే డౌన్‌లోడ్ కోసం మీ ఇంటర్నెట్ చూసుకుని, మళ్లీ ప్రయత్నించండి.", + "error.BACKGROUND_FAILED": "బ్యాక్‌గ్రౌండ్ తీయడం అకస్మాత్తుగా ఆగిపోయింది, సాధారణంగా ఈ డివైస్ మెమరీ అయిపోవడం వల్ల. చిన్న ఫోటోను ఎంచుకోండి, లేదా ఇతర ట్యాబ్‌లు మూసివేసి మళ్లీ ప్రయత్నించండి.", + "error.IMAGE_TOO_LARGE": "ఈ ఫోటో ఆ సైజ్‌లో సేవ్ చేయడానికి ఈ బ్రౌజర్‌కు చాలా పెద్దది. “సైజ్”లో చిన్న సైజ్ ఎంచుకోండి.", "error.NO_DIAGRAM": "మీ Mermaid కోడ్‌ను పేస్ట్ చేయండి, లేదా ఒక .mmd లేదా .md ఫైల్ ఎంచుకోండి.", "error.BAD_DIAGRAM": "డయాగ్రామ్ కోడ్‌లో తప్పు ఉంది: {detail}", "error.ENGINE_FAILED": "PDF ఇంజన్ ఊహించని విధంగా ఆగిపోయింది — ఫైల్ ఈ డివైజ్‌కి చాలా పెద్దదిగా ఉండవచ్చు.", @@ -225,6 +229,32 @@ "ed.removeBox": "టెక్స్ట్ బాక్స్ తొలగించండి", "ed.replaced": "కొన్ని అక్షరాలకు స్టాండర్డ్ PDF ఫాంట్‌లలో సపోర్ట్ లేదు కాబట్టి వాటిని మార్చడం జరిగింది.", "ed.hint": "మీరు టైప్ చేసే అన్ని అక్షరాలు ఉంటే మార్చిన లైన్లు PDF సొంత ఫాంట్‌నే ఉంచుతాయి; లేకపోతే కప్పి మళ్లీ రాస్తాము. వైట్-అవుట్ కేవలం దాచుతుంది — సున్నితమైన డేటా కోసం PDF రిడాక్ట్ చేయండి వాడండి.", + "bg.previewLabel": "కొత్త బ్యాక్‌గ్రౌండ్‌తో మీ ఫోటో", + "bg.preparing": "బ్యాక్‌గ్రౌండ్ తీసే టూల్ సిద్ధమవుతోంది: {total} MBలో {loaded} MB. ఈ డౌన్‌లోడ్ ఒక్కసారి మాత్రమే జరుగుతుంది.", + "bg.working": "బ్యాక్‌గ్రౌండ్ తీస్తున్నాం… {pct}%", + "bg.lite": "ఈ డివైస్‌లో మెమరీ తక్కువ, అందుకే తేలికైన మోడల్ వాడాం. ల్యాప్‌టాప్‌లో అంచులు మరింత శుభ్రంగా వస్తాయి.", + "bg.compare": "అసలు ఫోటో చూడటానికి నొక్కి పట్టుకోండి", + "bg.background": "బ్యాక్‌గ్రౌండ్", + "bg.none": "ఏదీ వద్దు", + "bg.white": "తెలుపు", + "bg.black": "నలుపు", + "bg.blue": "నీలం", + "bg.red": "ఎరుపు", + "bg.green": "ఆకుపచ్చ", + "bg.gray": "బూడిద", + "bg.custom": "ఏ రంగైనా", + "bg.photo": "మీ ఫోటో", + "bg.blur": "బ్లర్", + "bg.size": "సైజ్", + "bg.original": "అసలు సైజ్ ({w} × {h} px)", + "bg.widthOption": "{w} × {h} px", + "bg.customSize": "మీ వెడల్పు…", + "bg.widthLabel": "వెడల్పు (పిక్సెల్స్‌లో)", + "bg.touch": "సరిచేయండి (అవసరమైతే)", + "bg.touchHint": "ఏదైనా చోటు మిగిలిపోయిందా? తుడుపు లేదా తిరిగి తెచ్చు ఎంచుకుని, ఫోటోపై వేలితో లేదా మౌస్‌తో రుద్దండి.", + "bg.erase": "తుడుపు", + "bg.restore": "తిరిగి తెచ్చు", + "bg.brush": "బ్రష్ సైజ్", "ocr.unsure": "ఈ టెక్స్ట్‌లో కొన్ని తప్పులు ఉండవచ్చు. టెక్స్ట్ గుర్తింపు నిటారుగా ఉన్న ఇంగ్లీష్ టెక్స్ట్‌ను చదువుతుంది: పక్కకు ఉన్న ఫోటోలను ముందు తిప్పండి, ఇతర లిపులు తప్పుగా రావచ్చు.", "ocr.copyAll": "మొత్తం టెక్స్ట్ కాపీ చేయండి", "ocr.copied": "కాపీ చేయబడింది", @@ -1661,6 +1691,45 @@ "మొబైల్ ఫోటో నుండి టెక్స్ట్ కాపీ చేయండి" ] }, + "remove-background": { + "name": "బ్యాక్‌గ్రౌండ్ తీసివేయండి", + "summary": "వ్యక్తిని, వస్తువును లేదా పెంపుడు జంతువును కత్తిరించి, వెనుక ఏదైనా పెట్టండి.", + "action": "ఇమేజ్ డౌన్‌లోడ్ చేయండి", + "title": "ఫోటో బ్యాక్‌గ్రౌండ్ తీసివేయండి ఉచితం — అప్‌లోడ్ లేదు | Fizzdoc", + "description": "ఏ ఫోటో బ్యాక్‌గ్రౌండ్‌నైనా ఉచితంగా తీసివేయండి, పూర్తి రిజల్యూషన్‌లో: పారదర్శక PNG, తెలుపు, ఏ రంగైనా లేదా మీ ఫోటో. ఏదీ అప్‌లోడ్ కాదు.", + "h1": "ఏ ఫోటో బ్యాక్‌గ్రౌండ్‌నైనా తీసివేయండి", + "lede": "ఒక ఫోటోను ఎంచుకోండి, బ్యాక్‌గ్రౌండ్ దానంతట అదే మాయమవుతుంది. పారదర్శకంగా ఉంచవచ్చు, లేదా వెనుక తెలుపు, ఏ రంగైనా, మృదువైన బ్లర్ లేదా మరో ఫోటో పెట్టవచ్చు. AI మీ సొంత డివైస్‌లోనే నడుస్తుంది, కాబట్టి మీ ఫోటో ఎక్కడికీ వెళ్లదు.", + "steps": [ + "ఒక ఫోటోను ఎంచుకోండి. బ్యాక్‌గ్రౌండ్ వెంటనే తొలగిపోతుంది.", + "వెనుక ఏం ఉండాలో ఎంచుకోండి: ఏదీ వద్దు, రంగు, బ్లర్ లేదా మీ ఫోటో. అవసరమైతే ఏదైనా చోటును సరిచేయండి.", + "సైజ్ ఎంచుకుని, “ఇమేజ్ డౌన్‌లోడ్ చేయండి” క్లిక్ చేయండి." + ], + "faq": [ + [ + "మీ ఫైల్స్ ఎక్కడైనా అప్‌లోడ్ అవుతాయా?", + "లేదు. Fizzdoc ఈ పనిని మీ బ్రౌజర్ ట్యాబ్‌లోనే చేస్తుంది, WebAssembly మరియు JavaScriptకి కంపైల్ చేసిన ఓపెన్ సోర్స్ ఇంజన్‌లతో. మీ ఫైల్ మీ డివైజ్ నుండి చదవబడి, స్థానికంగా ప్రాసెస్ చేయబడి, ఫలితం నేరుగా మీ డివైజ్‌కే తిరిగి సేవ్ చేయబడుతుంది. మీరే దీన్ని చెక్ చేసుకోవచ్చు: బ్రౌజర్ డెవలపర్ టూల్స్ తెరిచి, Network ట్యాబ్‌కి వెళ్లి ఒక జాబ్ రన్ చేయండి — ఏ రిక్వెస్ట్ కూడా మీ ఫైల్‌ను తీసుకెళ్లదు." + ], + [ + "నా ఫోటో క్వాలిటీ తగ్గుతుందా?", + "లేదు. కత్తిరించిన ఫోటో తన పూర్తి రిజల్యూషన్‌ను అలాగే ఉంచుకుంటుంది, Fizzdoc వైపు నుండి సైజ్ పరిమితి లేదు. వెంట్రుకలు, బొచ్చు అంచులు పూర్తి సైజ్‌లోనే శుభ్రం చేయబడతాయి, కాబట్టి ఏ కొత్త బ్యాక్‌గ్రౌండ్‌పైనైనా సహజంగా కనిపిస్తాయి. కావాలంటే చిన్న కాపీని కూడా సేవ్ చేయవచ్చు." + ], + [ + "అప్‌లోడ్ చేయకుండా ఇది ఎలా పని చేస్తుంది?", + "ఒక ఓపెన్-సోర్స్ AI మోడల్ (BiRefNet) మీ బ్రౌజర్ లోపలే నడుస్తుంది, డివైస్‌లో గ్రాఫిక్స్ చిప్ ఉంటే దానిపై. ఇది ఒక్కసారి సుమారు 110 MB డౌన్‌లోడ్ అవుతుంది, ఆ తర్వాత ఆఫ్‌లైన్‌లో కూడా పనిచేస్తుంది. తక్కువ మెమరీ ఉన్న ఫోన్‌లు చిన్న మోడల్ (U²-Net) వాడతాయి." + ], + [ + "Fizzdoc ఉచితమా?", + "అవును, ఇది ఎప్పటికీ ఉచితంగానే ఉంటుంది: సైన్-అప్ లేదు, వాటర్‌మార్క్ లేదు, రోజువారీ పరిమితి లేదు, ప్రీమియం ప్లాన్ కూడా లేదు. Fizzdoc Apache-2.0 లైసెన్స్ కింద ఓపెన్ సోర్స్, కాబట్టి ఎవరైనా తమ సొంత కాపీని రన్ చేసుకోవచ్చు." + ] + ], + "keywords": [ + "ఫోటో బ్యాక్‌గ్రౌండ్ తీసివేయండి", + "బ్యాక్‌గ్రౌండ్ రిమూవ్ ఉచితం", + "ఫోటో బ్యాక్‌గ్రౌండ్ తెల్లగా మార్చండి", + "అప్‌లోడ్ లేకుండా బ్యాక్‌గ్రౌండ్ తీయండి", + "remove bg" + ] + }, "png-to-jpg": { "name": "PNG to JPG", "summary": "PNG ఇమేజ్‌లను బల్క్‌లో JPGగా మార్చండి.", diff --git a/src/i18n/tr.json b/src/i18n/tr.json index 7b61333..70660d3 100644 --- a/src/i18n/tr.json +++ b/src/i18n/tr.json @@ -96,6 +96,7 @@ "ws.fmtJpeg": "JPG — fotoğraflar, her yerde açılır", "ws.fmtWebp": "WebP — en küçük", "ws.fmtPng": "PNG — kayıpsız", + "ws.fmtAuto": "En uygunu: arka plan şeffafsa PNG, değilse JPG", "ws.quality": "Kalite", "ws.width": "Genişlik (px)", "ws.height": "Yükseklik (px)", @@ -182,6 +183,9 @@ "error.BAD_JSON": "Bu dosya geçerli bir JSON değil. Eksik virgül, tırnak veya parantez olup olmadığını kontrol edin.", "error.BAD_JSON_AT": "Bu dosya geçerli bir JSON değil: {line}. satır, {column}. sütun civarında bir sorun var. Eksik virgül, tırnak veya parantez olup olmadığını kontrol edin.", "error.SHEET_TOO_BIG": "Bu, tek bir Excel sayfasının alabileceğinden fazla (1.048.576 satır ve 16.384 sütun). Verileri daha küçük dosyalara bölün.", + "error.BG_SETUP_FAILED": "Arka plan silici yüklenemedi. Bir kerelik indirme için internet bağlantınızı kontrol edin, sonra tekrar deneyin.", + "error.BACKGROUND_FAILED": "Arka planı silme işlemi beklenmedik şekilde durdu, genellikle bu cihazın belleği dolduğu için. Daha küçük bir fotoğraf deneyin ya da diğer sekmeleri kapatıp tekrar deneyin.", + "error.IMAGE_TOO_LARGE": "Bu fotoğraf, bu tarayıcının o boyutta kaydetmesi için çok büyük. “Boyut” altından daha küçük bir boyut seçin.", "error.NO_DIAGRAM": "Mermaid kodunuzu yapıştırın veya bir .mmd ya da .md dosyası seçin.", "error.BAD_DIAGRAM": "Diyagram kodunda bir hata var: {detail}", "error.ENGINE_FAILED": "PDF motoru beklenmedik şekilde durdu — dosya bu cihaz için çok büyük olabilir.", @@ -225,6 +229,32 @@ "ed.removeBox": "Metin kutusunu kaldır", "ed.replaced": "Bazı karakterler standart PDF yazı tipleri tarafından desteklenmiyor ve değiştirildi.", "ed.hint": "Değiştirilen satırlar, yazdığınız tüm harfler varsa PDF'in kendi yazı tipini korur; yoksa örtülüp yeniden yazılır. Beyazlatma yalnızca gizler — hassas veriler için PDF Karart'ı kullanın.", + "bg.previewLabel": "Fotoğrafınız yeni arka planıyla", + "bg.preparing": "Arka plan silici hazırlanıyor: {total} MB'ın {loaded} MB'ı. Bu indirme yalnızca bir kez yapılır.", + "bg.working": "Arka plan siliniyor… %{pct}", + "bg.lite": "Bu cihazın belleği az, bu yüzden daha hafif bir model kullanıldı. Dizüstü bilgisayarda kenarlar daha temiz çıkar.", + "bg.compare": "Orijinali görmek için basılı tutun", + "bg.background": "Arka plan", + "bg.none": "Yok", + "bg.white": "Beyaz", + "bg.black": "Siyah", + "bg.blue": "Mavi", + "bg.red": "Kırmızı", + "bg.green": "Yeşil", + "bg.gray": "Gri", + "bg.custom": "Herhangi bir renk", + "bg.photo": "Fotoğrafınız", + "bg.blur": "Bulanıklaştır", + "bg.size": "Boyut", + "bg.original": "Orijinal boyut ({w} × {h} px)", + "bg.widthOption": "{w} × {h} px", + "bg.customSize": "Özel genişlik…", + "bg.widthLabel": "Piksel olarak genişlik", + "bg.touch": "Rötuş (gerekirse)", + "bg.touchHint": "Atlanan bir yer mi var? Sil veya Geri getir'i seçin, sonra fotoğrafın üzerinde parmağınızı ya da fareyi gezdirin.", + "bg.erase": "Sil", + "bg.restore": "Geri getir", + "bg.brush": "Fırça boyutu", "ocr.unsure": "Bu metnin bir kısmı hatalı olabilir. Metin tanıma düz duran İngilizce metni okur: yan duran fotoğrafları önce döndürün; diğer alfabeler bozuk çıkabilir.", "ocr.copyAll": "Tüm metni kopyala", "ocr.copied": "Kopyalandı", @@ -1661,6 +1691,45 @@ "telefon fotoğrafından metin kopyalama" ] }, + "remove-background": { + "name": "Arka Planı Sil", + "summary": "Bir kişiyi, ürünü ya da evcil hayvanı kesip çıkarın ve arkasına istediğinizi koyun.", + "action": "Görseli indir", + "title": "Fotoğraf Arka Planı Silme Ücretsiz — Yükleme Yok | Fizzdoc", + "description": "Her fotoğrafın arka planını ücretsiz silin, tam çözünürlükle: şeffaf PNG, beyaz, istediğiniz renk veya kendi fotoğrafınız. Hiçbir şey yüklenmez.", + "h1": "Her fotoğrafın arka planını silin", + "lede": "Bir fotoğraf seçin, arka plan kendiliğinden kaybolsun. Şeffaf bırakın ya da arkasına beyaz, istediğiniz bir renk, yumuşak bir bulanıklık veya başka bir fotoğraf koyun. Yapay zeka kendi cihazınızda çalışır, bu yüzden fotoğrafınız cihazınızdan hiç çıkmaz.", + "steps": [ + "Bir fotoğraf seçin. Arka plan hemen silinir.", + "Arkaya ne gireceğini seçin: hiçbir şey, bir renk, bulanıklık ya da kendi fotoğrafınız. Gerekirse bir yeri düzeltin.", + "Boyutu seçin, sonra “Görseli indir”e tıklayın." + ], + "faq": [ + [ + "Dosyalarım herhangi bir yere yükleniyor mu?", + "Hayır. Fizzdoc, WebAssembly ve JavaScript'e derlenmiş açık kaynaklı motorları kullanarak işlemi tarayıcı sekmenizin içinde yapar. Dosyanız cihazınızdan okunur, yerel olarak işlenir ve sonuç doğrudan cihazınıza kaydedilir. Bunu kendiniz de kontrol edebilirsiniz: tarayıcınızın geliştirici araçlarını açın, Ağ (Network) sekmesine gidin ve bir işlem çalıştırın — hiçbir istek dosyanızı taşımaz." + ], + [ + "Fotoğrafımın kalitesi düşer mi?", + "Hayır. Kesilen görsel fotoğrafınızın tam çözünürlüğünü korur, Fizzdoc tarafında boyut sınırı yoktur. Saç ve tüy kenarları tam boyutta temizlenir, bu yüzden her yeni arka planda doğal görünür. İsterseniz daha küçük bir kopya da kaydedebilirsiniz." + ], + [ + "Yüklemeden nasıl çalışıyor?", + "Açık kaynaklı bir yapay zeka modeli (BiRefNet) tarayıcınızın içinde çalışır, cihazda ekran kartı varsa onun üzerinde. Bir kez, yaklaşık 110 MB iner, sonra çevrimdışıyken bile çalışır. Belleği az telefonlar daha küçük bir model (U²-Net) kullanır." + ], + [ + "Fizzdoc ücretsiz mi?", + "Evet, ve ücretsiz kalacak: kayıt yok, filigran yok, günlük limit yok, ücretli katman yok. Fizzdoc, Apache-2.0 lisansıyla açık kaynaktır, bu yüzden herkes kendi kopyasını çalıştırabilir." + ] + ], + "keywords": [ + "fotoğraf arka planı silme", + "arka plan silme ücretsiz", + "fotoğraf arka planını beyaz yapma", + "yüklemeden arka plan silme", + "remove bg" + ] + }, "png-to-jpg": { "name": "PNG'den JPG'e", "summary": "PNG görsellerini toplu olarak JPG'e dönüştürün.", diff --git a/src/i18n/vi.json b/src/i18n/vi.json index cdbe921..523dc1f 100644 --- a/src/i18n/vi.json +++ b/src/i18n/vi.json @@ -96,6 +96,7 @@ "ws.fmtJpeg": "JPG — dùng cho ảnh, mở được ở mọi nơi", "ws.fmtWebp": "WebP — nhỏ nhất", "ws.fmtPng": "PNG — không mất chất lượng", + "ws.fmtAuto": "Phù hợp nhất: PNG nếu nền trong suốt, nếu không thì JPG", "ws.quality": "Chất lượng", "ws.width": "Chiều rộng (px)", "ws.height": "Chiều cao (px)", @@ -182,6 +183,9 @@ "error.BAD_JSON": "Tệp này không phải JSON hợp lệ. Hãy kiểm tra xem có thiếu dấu phẩy, dấu ngoặc kép hoặc dấu ngoặc nào không.", "error.BAD_JSON_AT": "Tệp này không phải JSON hợp lệ: có lỗi gần dòng {line}, cột {column}. Hãy kiểm tra xem có thiếu dấu phẩy, dấu ngoặc kép hoặc dấu ngoặc nào không.", "error.SHEET_TOO_BIG": "Dữ liệu này vượt quá sức chứa của một trang tính Excel (1.048.576 hàng và 16.384 cột). Hãy chia dữ liệu thành các tệp nhỏ hơn.", + "error.BG_SETUP_FAILED": "Không tải được công cụ xóa nền. Hãy kiểm tra kết nối internet cho lần tải một lần này, rồi thử lại.", + "error.BACKGROUND_FAILED": "Việc xóa nền đột ngột dừng lại, thường vì thiết bị này hết bộ nhớ. Hãy thử ảnh nhỏ hơn, hoặc đóng các thẻ khác rồi thử lại.", + "error.IMAGE_TOO_LARGE": "Ảnh này quá lớn để trình duyệt lưu ở kích thước đó. Hãy chọn kích thước nhỏ hơn trong mục “Kích thước”.", "error.NO_DIAGRAM": "Dán mã Mermaid của bạn, hoặc chọn một tệp .mmd hoặc .md.", "error.BAD_DIAGRAM": "Mã sơ đồ có lỗi: {detail}", "error.ENGINE_FAILED": "Công cụ xử lý PDF đã dừng đột ngột — tệp có thể quá lớn đối với thiết bị này.", @@ -225,6 +229,32 @@ "ed.removeBox": "Xóa hộp văn bản", "ed.replaced": "Một số ký tự không được các phông chữ PDF chuẩn hỗ trợ nên đã được thay thế.", "ed.hint": "Dòng đã sửa giữ phông của PDF nếu phông đó có mọi chữ bạn gõ; nếu không, dòng được che rồi viết lại. Che trắng chỉ che đi — với dữ liệu nhạy cảm, hãy dùng Che Đen PDF.", + "bg.previewLabel": "Ảnh của bạn với nền mới", + "bg.preparing": "Đang chuẩn bị công cụ xóa nền: {loaded} trên {total} MB. Lần tải này chỉ diễn ra một lần.", + "bg.working": "Đang xóa nền… {pct}%", + "bg.lite": "Thiết bị này ít bộ nhớ, nên đã dùng mô hình nhẹ hơn. Máy tính xách tay cho viền sạch hơn.", + "bg.compare": "Nhấn giữ để xem ảnh gốc", + "bg.background": "Nền", + "bg.none": "Không", + "bg.white": "Trắng", + "bg.black": "Đen", + "bg.blue": "Xanh dương", + "bg.red": "Đỏ", + "bg.green": "Xanh lá", + "bg.gray": "Xám", + "bg.custom": "Màu bất kỳ", + "bg.photo": "Ảnh của bạn", + "bg.blur": "Làm mờ", + "bg.size": "Kích thước", + "bg.original": "Kích thước gốc ({w} × {h} px)", + "bg.widthOption": "{w} × {h} px", + "bg.customSize": "Chiều rộng tùy chọn…", + "bg.widthLabel": "Chiều rộng tính bằng pixel", + "bg.touch": "Chỉnh sửa thêm (nếu cần)", + "bg.touchHint": "Sót chỗ nào à? Chọn Xóa hoặc Khôi phục, rồi lướt ngón tay hoặc chuột lên ảnh.", + "bg.erase": "Xóa", + "bg.restore": "Khôi phục", + "bg.brush": "Cỡ cọ", "ocr.unsure": "Một phần văn bản này có thể sai. Nhận dạng chữ đọc văn bản tiếng Anh đặt thẳng: hãy xoay ảnh bị nghiêng trước, và các hệ chữ khác có thể ra lộn xộn.", "ocr.copyAll": "Sao chép toàn bộ văn bản", "ocr.copied": "Đã sao chép", @@ -1661,6 +1691,45 @@ "sao chép văn bản từ ảnh chụp điện thoại" ] }, + "remove-background": { + "name": "Xóa Nền Ảnh", + "summary": "Tách một người, sản phẩm hay thú cưng ra khỏi ảnh và đặt bất cứ thứ gì phía sau.", + "action": "Tải ảnh xuống", + "title": "Xóa Nền Ảnh Miễn Phí — Không Cần Tải Lên | Fizzdoc", + "description": "Xóa nền của mọi bức ảnh miễn phí, giữ nguyên độ phân giải: PNG trong suốt, nền trắng, màu bất kỳ hoặc ảnh của bạn. Không có gì bị tải lên.", + "h1": "Xóa nền của mọi bức ảnh", + "lede": "Chọn một bức ảnh và nền tự biến mất. Giữ trong suốt, hoặc đặt phía sau màu trắng, một màu bất kỳ, hiệu ứng mờ nhẹ hay một ảnh khác. AI chạy ngay trên thiết bị của bạn, nên ảnh không bao giờ rời khỏi máy.", + "steps": [ + "Chọn một bức ảnh. Nền được xóa ngay lập tức.", + "Chọn thứ đặt phía sau: không có gì, một màu, hiệu ứng mờ hoặc ảnh của bạn. Chỉnh sửa thêm chỗ nào cần.", + "Chọn kích thước, rồi nhấp “Tải ảnh xuống”." + ], + "faq": [ + [ + "Tệp của tôi có được tải lên đâu không?", + "Không. Fizzdoc xử lý mọi thứ ngay trong tab trình duyệt của bạn, sử dụng các engine mã nguồn mở được biên dịch sang WebAssembly và JavaScript. Tệp của bạn được đọc từ thiết bị, xử lý cục bộ, rồi kết quả được lưu thẳng trở lại thiết bị. Bạn có thể tự kiểm chứng: mở công cụ dành cho nhà phát triển của trình duyệt, vào tab Network và thực hiện một thao tác — sẽ không có yêu cầu nào mang theo tệp của bạn." + ], + [ + "Ảnh của tôi có bị giảm chất lượng không?", + "Không. Ảnh đã tách nền giữ nguyên độ phân giải đầy đủ, Fizzdoc không giới hạn kích thước. Viền tóc và lông được làm sạch ở kích thước đầy đủ, nên trông tự nhiên trên mọi nền mới. Bạn cũng có thể lưu một bản nhỏ hơn." + ], + [ + "Không tải lên thì nó hoạt động thế nào?", + "Một mô hình AI mã nguồn mở (BiRefNet) chạy ngay trong trình duyệt của bạn, trên chip đồ họa nếu thiết bị có. Mô hình tải một lần, khoảng 110 MB, sau đó dùng được cả khi không có mạng. Điện thoại ít bộ nhớ dùng mô hình nhỏ hơn (U²-Net)." + ], + [ + "Fizzdoc có miễn phí không?", + "Có, và sẽ luôn miễn phí: không cần đăng ký, không watermark, không giới hạn hằng ngày và không có gói trả phí. Fizzdoc là mã nguồn mở theo giấy phép Apache-2.0, nên ai cũng có thể tự chạy một bản sao của riêng mình." + ] + ], + "keywords": [ + "xóa nền ảnh", + "tách nền ảnh miễn phí", + "đổi nền ảnh sang màu trắng", + "xóa nền không cần tải ảnh lên", + "remove bg" + ] + }, "png-to-jpg": { "name": "PNG sang JPG", "summary": "Chuyển đổi ảnh PNG sang JPG hàng loạt.", diff --git a/src/ort-webgpu.d.ts b/src/ort-webgpu.d.ts new file mode 100644 index 0000000..7a109dc --- /dev/null +++ b/src/ort-webgpu.d.ts @@ -0,0 +1,5 @@ +// 'ort-webgpu' is ONNX Runtime's WebGPU build, aliased in vite.config.ts (the package name itself is +// pointed at the CPU build for Audio to Text). Same API as the package. +declare module 'ort-webgpu' { + export * from 'onnxruntime-web'; +} diff --git a/src/seo.ts b/src/seo.ts index b9f09fd..03c84c6 100644 --- a/src/seo.ts +++ b/src/seo.ts @@ -96,6 +96,7 @@ const ICON_PATHS: Record = { 'audio-merge': '', transcribe: '', 'edit-pdf': '', + 'remove-bg': '', 'redact-pdf': '', 'scan-pdf': '', 'ocr-pdf': SCAN, @@ -245,6 +246,8 @@ function optionsHtml(c: Copy, tool: Tool) { ${ tool.op === 'redact-pdf' ? `\n ` : '' }`; + if (tool.op === 'remove-bg') + return ``; if (tool.op === 'mermaid-image') return ` @@ -301,7 +304,7 @@ function workspaceHtml(c: Copy, tool: Tool) { : null; const { accept, choose, multiple } = input(c, tool); return ` -

+
    - ${['edit-pdf', 'redact-pdf', 'image-ocr', 'audio-split'].includes(tool.op) ? '
    ' : ''} + ${['edit-pdf', 'redact-pdf', 'image-ocr', 'audio-split', 'remove-bg'].includes(tool.op) ? '
    ' : ''} ${multiple ? `` : ''}
    ${ diff --git a/src/site.ts b/src/site.ts index 3bc7209..267d0fe 100644 --- a/src/site.ts +++ b/src/site.ts @@ -13,6 +13,7 @@ export type ToolOp = | 'compress-pdf' | 'edit-pdf' | 'redact-pdf' + | 'remove-bg' | 'scan-pdf' | 'ocr-pdf' | 'pdf-to-word' @@ -1196,6 +1197,37 @@ TOOLS.push( ], input: { accept: 'image/*' }, }, + { + op: 'remove-bg', + format: 'image', + slug: 'remove-background', + name: 'Remove Background', + summary: 'Cut out a person, product or pet and put anything behind it.', + action: 'Download image', + title: 'Remove Background from Image Free — Full HD, No Upload | Fizzdoc', + description: + 'Remove the background from any photo for free, at full resolution: clear PNG, white, any colour, a blur or your own photo. Nothing is uploaded.', + h1: 'Remove the background from any photo', + lede: 'Choose a photo and the background disappears by itself. Keep it clear, or put white, any colour, a soft blur or another photo behind. The AI runs on your own device, so your picture never leaves it.', + steps: [ + 'Choose a photo. The background is removed straight away.', + 'Pick what goes behind: nothing, a colour, a blur or your own photo. Touch up any spot if needed.', + 'Choose the size, then click “Download image”.', + ], + faq: [ + PRIVACY_FAQ[0], + [ + 'Will my picture lose quality?', + 'No. The cut-out keeps your photo’s full resolution, with no size cap from Fizzdoc. Hair and fur edges are cleaned up at full size, so they look natural on any new background. You can also save a smaller copy.', + ], + [ + 'How does it work without uploading?', + 'An open-source AI model (BiRefNet) runs inside your browser, on your graphics chip when the device has one. It downloads once, about 110 MB, and then works even offline. Phones with little memory use a smaller model (U²-Net).', + ], + PRIVACY_FAQ[1], + ], + input: { accept: 'image/*' }, + }, ); // Popular searches that are the same job with a different file type get their own page and copy. @@ -1667,6 +1699,13 @@ const KEYWORDS: Record = { 'bulk image converter', 'image to WebP' ], + 'remove-background': [ + 'remove background from image free', + 'make background transparent', + 'change photo background to white', + 'remove bg online without uploading', + 'background eraser for photos', + ], 'image-to-text': [ 'copy text from a photo', 'screenshot to text', diff --git a/src/tools/remove-bg.css b/src/tools/remove-bg.css new file mode 100644 index 0000000..21a0359 --- /dev/null +++ b/src/tools/remove-bg.css @@ -0,0 +1,218 @@ +/* Remove Background editor: a big preview, then large, labelled choices. */ +.bg-editor { + display: flex; + flex-direction: column; + gap: 14px; +} + +.bg-stage { + position: relative; + display: grid; + place-items: center; + padding: 12px; + border: 1px solid var(--line); + border-radius: var(--radius); + /* Checkerboard: the usual sign for "transparent". */ + background: repeating-conic-gradient(#e4e4e7 0% 25%, #fafafa 0% 50%) 50% / 20px 20px; +} +.bg-canvas { + display: block; + max-width: 100%; + max-height: min(70vh, 720px); + width: auto; + height: auto; + border-radius: 6px; +} +@media (max-width: 720px) { + /* Phones: a shorter preview, so the choices under it stay in sight while picking. */ + .bg-canvas { + max-height: 48vh; + } +} +.bg-stage.painting .bg-canvas { + cursor: crosshair; + touch-action: none; /* a finger paints instead of scrolling while Erase or Restore is on */ +} + +.bg-busy { + position: absolute; + inset: 0; + display: grid; + place-content: center; + justify-items: center; + gap: 12px; + padding: 24px; + border-radius: var(--radius); + background: color-mix(in srgb, var(--surface) 82%, transparent); + text-align: center; + font-size: 1.05rem; + font-weight: 500; +} +.bg-busy[hidden] { + display: none; +} +.bg-busy p { + max-width: 34ch; + margin: 0; +} +.bg-busy .progress { + width: min(320px, 80%); +} +.bg-spinner { + width: 36px; + height: 36px; + border: 4px solid var(--line); + border-top-color: var(--accent); + border-radius: 50%; + animation: bg-spin 0.9s linear infinite; +} +@keyframes bg-spin { + to { + rotate: 360deg; + } +} +@media (prefers-reduced-motion: reduce) { + .bg-spinner { + animation: none; + } +} + +.bg-btn { + min-height: 44px; + padding: 0 18px; + border: 1px solid var(--line); + border-radius: 12px; + background: var(--surface-2); + color: var(--text); + font: inherit; + font-weight: 600; + cursor: pointer; +} +.bg-btn:hover:not(:disabled) { + border-color: var(--line-strong); +} +.bg-btn:disabled { + opacity: 0.45; + cursor: not-allowed; +} +.bg-btn[aria-pressed='true'], +.bg-compare.active { + border-color: var(--accent); + background: var(--accent); + color: #fff; +} +.bg-compare { + align-self: center; + user-select: none; + -webkit-user-select: none; + touch-action: manipulation; +} + +.bg-note { + margin: 0; + color: var(--muted); + text-align: center; +} +.bg-note:empty { + display: none; +} + +.bg-group { + margin: 0; + padding: 14px; + border: 1px solid var(--line); + border-radius: var(--radius); +} +.bg-group legend { + padding: 0 6px; + font-weight: 700; +} + +.bg-choices { + display: grid; + grid-template-columns: repeat(auto-fill, minmax(78px, 1fr)); + gap: 10px; +} +.bg-choice { + display: flex; + flex-direction: column; + align-items: center; + gap: 6px; + padding: 10px 6px; + border: 2px solid var(--line); + border-radius: 14px; + background: var(--surface); + color: var(--text); + font: inherit; + font-size: 0.9rem; + cursor: pointer; +} +.bg-choice[aria-pressed='true'] { + border-color: var(--accent); + box-shadow: 0 0 0 3px color-mix(in srgb, var(--accent) 25%, transparent); +} +.bg-chip { + width: 40px; + height: 40px; + border: 1px solid var(--line-strong); + border-radius: 50%; +} +.bg-chip-clear { + background: repeating-conic-gradient(#d4d4d8 0% 25%, #fff 0% 50%) 50% / 12px 12px; +} +.bg-chip-rainbow { + background: conic-gradient(#ef4444, #f59e0b, #22c55e, #3b82f6, #a855f7, #ef4444); +} +.bg-chip-photo { + background: linear-gradient(160deg, #93c5fd 0 55%, #4ade80 55%); +} +.bg-chip-blur { + background: radial-gradient(circle, #a1a1aa, #e4e4e7); + filter: blur(1px); +} +.bg-editor .bg-hidden { + position: absolute; + width: 1px !important; + height: 1px !important; + min-width: 0; + padding: 0; + border: 0; + opacity: 0; + pointer-events: none; +} +.bg-choices { + position: relative; +} + +.bg-group select, +.bg-group input[type='number'] { + min-height: 44px; + margin-right: 8px; + padding: 0 12px; + border: 1px solid var(--line); + border-radius: 10px; + background: var(--surface); + color: var(--text); + font: inherit; +} +.bg-group input[type='number'] { + width: 120px; +} +.bg-size-note { + color: var(--muted); +} +.bg-hint { + margin: 0 0 10px; + color: var(--muted); +} +.bg-tools { + display: flex; + flex-wrap: wrap; + align-items: center; + gap: 10px; +} +.bg-brush { + display: inline-flex; + align-items: center; + gap: 8px; +} diff --git a/src/tools/remove-bg.ts b/src/tools/remove-bg.ts new file mode 100644 index 0000000..57bf2ff --- /dev/null +++ b/src/tools/remove-bg.ts @@ -0,0 +1,390 @@ +// Remove Background: the background goes as soon as a picture is chosen, then the person picks +// what goes behind (nothing, a colour, their own photo, or a blur), the size, and touches up any +// spot the model missed. Built for big buttons and few decisions; everything stays on the device. +import './remove-bg.css'; +import { compose, removeBackground, render, type Backdrop, type SaveFormat } from '../engine/background'; +import type { Output } from '../engine/local'; +import { t } from '../i18n'; + +export interface BackgroundEditor { + save(options: { format?: string; width?: string }, onProgress?: (fraction: number) => void): Promise; + destroy(): void; +} + +const SWATCHES: [key: 'white' | 'black' | 'blue' | 'red' | 'green' | 'gray', color: string][] = [ + ['white', '#ffffff'], + ['black', '#000000'], + ['blue', '#1e6fd9'], + ['red', '#d7262e'], + ['green', '#1d9a5b'], + ['gray', '#9ca3af'], +]; +/** Longest side of the on-screen preview; saving always works from the full-size cut-out. */ +const PREVIEW = 1600; +const TILE = 64; + +const element = (tag: K, className = '', text = '') => { + const node = document.createElement(tag); + if (className) node.className = className; + if (text) node.textContent = text; + return node; +}; + +export async function openBackgroundEditor(file: File, viewer: HTMLElement, preset: Record = {}): Promise { + let photo: ImageBitmap; + try { + photo = await createImageBitmap(file); + } catch { + const { LocalError } = await import('../engine/local'); + throw new LocalError('BAD_IMAGE'); + } + const W = photo.width; + const H = photo.height; + + // ---- Layout ---- + viewer.classList.add('bg-editor'); + const stage = element('div', 'bg-stage'); + const canvas = element('canvas', 'bg-canvas'); + const scale = Math.min(1, PREVIEW / Math.max(W, H)); + canvas.width = Math.round(W * scale); + canvas.height = Math.round(H * scale); + canvas.setAttribute('role', 'img'); + canvas.setAttribute('aria-label', t('bg.previewLabel')); + const busy = element('div', 'bg-busy'); + const busyText = element('p', '', t('bg.working', { pct: 0 })); + busyText.setAttribute('role', 'status'); + const bar = element('div', 'progress'); + bar.append(element('span')); + busy.append(element('span', 'bg-spinner'), busyText, bar); + stage.append(canvas, busy); + const compare = element('button', 'bg-btn bg-compare', t('bg.compare')); + compare.type = 'button'; + compare.disabled = true; + const note = element('p', 'bg-note'); + note.setAttribute('aria-live', 'polite'); + + const group = (title: string) => { + const box = element('fieldset', 'bg-group'); + box.append(element('legend', '', title)); + return box; + }; + const backdrops = group(t('bg.background')); + const choices = element('div', 'bg-choices'); + backdrops.append(choices); + const sizeBox = group(t('bg.size')); + const touch = group(t('bg.touch')); + viewer.replaceChildren(stage, compare, note, backdrops, sizeBox, touch); + + // Before the cut-out is ready, the photo itself is shown under the progress. + const preview = canvas.getContext('2d')!; + preview.drawImage(photo, 0, 0, canvas.width, canvas.height); + + // ---- Remove the background ---- + const setBar = (fraction: number) => { + const pct = Math.min(100, Math.round(fraction * 100)); + bar.style.setProperty('--pct', `${pct}%`); + return pct; + }; + const source = await createImageBitmap(photo); + const { cutout, model } = await removeBackground(source, { + onSetup: (loaded, total) => { + setBar(loaded / total); + busyText.textContent = t('bg.preparing', { loaded: Math.round(loaded / 1e6), total: Math.round(total / 1e6) }); + }, + onProgress: (fraction) => { + busyText.textContent = t('bg.working', { pct: setBar(fraction) }); + }, + }); + busy.hidden = true; + if (model === 'u2netp') note.textContent = t('bg.lite'); + + // The full-size cut-out lives on its own canvas; touch-ups change it in place. + const cut = new OffscreenCanvas(W, H); + const cutContext = cut.getContext('2d', { willReadFrequently: true })!; + cutContext.putImageData(cutout, 0, 0); + const pixels = cutout.data; + let original: Uint8ClampedArray | undefined; // the photo's pixels, read only when "Restore" is first used + + let backdrop: Backdrop = { kind: 'none' }; + let ownPhoto: ImageBitmap | undefined; + const draw = () => compose(canvas, cut, photo, backdrop); + + // ---- Backdrop choices ---- + const buttons: HTMLButtonElement[] = []; + // onPick returns false when nothing was picked yet (a file or colour dialog is still to come). + const choice = (label: string, onPick: () => void | boolean, swatch?: string) => { + const button = element('button', 'bg-choice'); + button.type = 'button'; + button.setAttribute('aria-pressed', 'false'); + const chip = element('span', 'bg-chip'); + if (swatch) chip.style.background = swatch; + button.append(chip, element('span', '', label)); + button.onclick = () => { + if (onPick() === false) return; + for (const other of buttons) other.setAttribute('aria-pressed', String(other === button)); + draw(); + }; + buttons.push(button); + choices.append(button); + return button; + }; + const none = choice(t('bg.none'), () => { + backdrop = { kind: 'none' }; + }); + none.querySelector('.bg-chip')!.classList.add('bg-chip-clear'); + const colors = new Map(); + for (const [key, color] of SWATCHES) + colors.set( + key, + choice(t(`bg.${key}`), () => { + backdrop = { kind: 'color', color }; + }, color), + ); + const picker = element('input'); + picker.type = 'color'; + picker.value = '#ffd166'; + picker.className = 'bg-hidden'; + picker.setAttribute('aria-label', t('bg.custom')); + const custom = choice(t('bg.custom'), () => { + picker.click(); + backdrop = { kind: 'color', color: picker.value }; + }); + custom.querySelector('.bg-chip')!.classList.add('bg-chip-rainbow'); + picker.oninput = () => { + backdrop = { kind: 'color', color: picker.value }; + (custom.querySelector('.bg-chip') as HTMLElement).style.background = picker.value; + for (const other of buttons) other.setAttribute('aria-pressed', String(other === custom)); + draw(); + }; + choices.append(picker); + const upload = element('input'); + upload.type = 'file'; + upload.accept = 'image/*'; + upload.className = 'bg-hidden'; + const photoChoice = choice(t('bg.photo'), () => { + if (!ownPhoto) { + upload.click(); + return false; + } + backdrop = { kind: 'image', image: ownPhoto }; + }); + photoChoice.querySelector('.bg-chip')!.classList.add('bg-chip-photo'); + upload.onchange = async () => { + const chosen = upload.files?.[0]; + if (!chosen) return; + try { + ownPhoto?.close(); + ownPhoto = await createImageBitmap(chosen); + } catch { + return; + } + backdrop = { kind: 'image', image: ownPhoto }; + for (const other of buttons) other.setAttribute('aria-pressed', String(other === photoChoice)); + draw(); + }; + choices.append(upload); + const blur = choice(t('bg.blur'), () => { + backdrop = { kind: 'blur', amount: 0.012 }; + }); + blur.querySelector('.bg-chip')!.classList.add('bg-chip-blur'); + // Pages like "white background" start with that colour picked. + (colors.get(preset.bg as 'white') ?? none).click(); + + // ---- Size ---- + const sizeSelect = element('select'); + sizeSelect.setAttribute('aria-label', t('bg.size')); + const widths = [2000, 1080, 600].filter((w) => w < W); + sizeSelect.append(new Option(t('bg.original', { w: W, h: H }), String(W))); + for (const w of widths) sizeSelect.append(new Option(t('bg.widthOption', { w, h: Math.round((H * w) / W) }), String(w))); + sizeSelect.append(new Option(t('bg.customSize'), 'custom')); + const widthInput = element('input'); + widthInput.type = 'number'; + widthInput.min = '16'; + widthInput.max = String(Math.max(W * 4, 8000)); + widthInput.value = String(W); + widthInput.hidden = true; + widthInput.setAttribute('aria-label', t('bg.widthLabel')); + const sizeNote = element('span', 'bg-size-note'); + const updateSize = () => { + widthInput.hidden = sizeSelect.value !== 'custom'; + const w = outputWidth(); + sizeNote.textContent = widthInput.hidden ? '' : `× ${Math.round((H * w) / W)} px`; + }; + sizeSelect.onchange = updateSize; + widthInput.oninput = updateSize; + sizeBox.append(sizeSelect, widthInput, sizeNote); + const outputWidth = () => { + const w = sizeSelect.value === 'custom' ? Math.round(Number(widthInput.value)) : Number(sizeSelect.value); + return Number.isFinite(w) && w >= 16 ? Math.min(w, Number(widthInput.max)) : W; + }; + + // ---- Touch up ---- + touch.append(element('p', 'bg-hint', t('bg.touchHint'))); + const tools = element('div', 'bg-tools'); + const modes: HTMLButtonElement[] = []; + let mode: 'erase' | 'restore' | null = null; + const modeButton = (key: 'erase' | 'restore') => { + const button = element('button', 'bg-btn', t(`bg.${key}`)); + button.type = 'button'; + button.setAttribute('aria-pressed', 'false'); + button.onclick = () => { + mode = mode === key ? null : key; + for (const other of modes) other.setAttribute('aria-pressed', String(other === button && mode === key)); + stage.classList.toggle('painting', mode !== null); + // The brush works on the picture: bring it into view. + if (mode) stage.scrollIntoView({ block: 'nearest', behavior: matchMedia('(prefers-reduced-motion: reduce)').matches ? 'auto' : 'smooth' }); + }; + modes.push(button); + return button; + }; + const brush = element('input'); + brush.type = 'range'; + brush.min = '4'; + brush.max = '80'; + brush.value = '24'; + brush.setAttribute('aria-label', t('bg.brush')); + const brushLabel = element('label', 'bg-brush', t('bg.brush')); + brushLabel.append(brush); + const undo = element('button', 'bg-btn', t('ed.undo')); + undo.type = 'button'; + undo.disabled = true; + tools.append(modeButton('erase'), modeButton('restore'), brushLabel, undo); + touch.append(tools); + + // Each stroke remembers the 64×64 tiles it changed, so Undo restores just those. + type Snapshot = Map; + const history: Snapshot[] = []; + let stroke: Snapshot | undefined; + const tilesX = Math.ceil(W / TILE); + const remember = (x0: number, y0: number, x1: number, y1: number) => { + for (let ty = Math.floor(y0 / TILE); ty <= Math.floor(y1 / TILE); ty++) + for (let tx = Math.floor(x0 / TILE); tx <= Math.floor(x1 / TILE); tx++) { + const key = ty * tilesX + tx; + if (stroke!.has(key)) continue; + const w = Math.min(TILE, W - tx * TILE); + const h = Math.min(TILE, H - ty * TILE); + const copy = new ImageData(w, h); + for (let row = 0; row < h; row++) { + const from = ((ty * TILE + row) * W + tx * TILE) * 4; + copy.data.set(pixels.subarray(from, from + w * 4), row * w * 4); + } + stroke!.set(key, copy); + } + }; + const putTile = (key: number, tile: ImageData) => { + const tx = key % tilesX; + const ty = Math.floor(key / tilesX); + for (let row = 0; row < tile.height; row++) pixels.set(tile.data.subarray(row * tile.width * 4, (row + 1) * tile.width * 4), ((ty * TILE + row) * W + tx * TILE) * 4); + cutContext.putImageData(tile, tx * TILE, ty * TILE); + }; + undo.onclick = () => { + const last = history.pop(); + if (!last) return; + for (const [key, tile] of last) putTile(key, tile); + undo.disabled = !history.length; + draw(); + }; + + /** One round dab of the brush at full-size coordinates, soft at its rim. */ + const dab = (cx: number, cy: number, radius: number) => { + const x0 = Math.max(0, Math.floor(cx - radius)); + const y0 = Math.max(0, Math.floor(cy - radius)); + const x1 = Math.min(W - 1, Math.ceil(cx + radius)); + const y1 = Math.min(H - 1, Math.ceil(cy + radius)); + if (x1 < x0 || y1 < y0) return; + remember(x0, y0, x1, y1); + if (mode === 'restore' && !original) { + const reader = new OffscreenCanvas(W, H).getContext('2d', { willReadFrequently: true })!; + reader.drawImage(photo, 0, 0); + original = reader.getImageData(0, 0, W, H).data; + } + for (let y = y0; y <= y1; y++) + for (let x = x0; x <= x1; x++) { + const d = Math.hypot(x + 0.5 - cx, y + 0.5 - cy) / radius; + if (d >= 1) continue; + const strength = d < 0.6 ? 1 : (1 - d) / 0.4; + const o = (y * W + x) * 4; + if (mode === 'erase') pixels[o + 3] = Math.round(pixels[o + 3] * (1 - strength)); + else { + const a = Math.max(pixels[o + 3], Math.round(255 * strength)); + if (a > pixels[o + 3]) { + pixels[o] = original![o]; + pixels[o + 1] = original![o + 1]; + pixels[o + 2] = original![o + 2]; + pixels[o + 3] = a; + } + } + } + cutContext.putImageData(cutout, 0, 0, x0, y0, x1 - x0 + 1, y1 - y0 + 1); + }; + canvas.addEventListener('pointerdown', (event) => { + if (!mode || event.button !== 0) return; + event.preventDefault(); + canvas.setPointerCapture(event.pointerId); + stroke = new Map(); + let last: [number, number] | undefined; + const paint = (e: PointerEvent) => { + const box = canvas.getBoundingClientRect(); + const x = ((e.clientX - box.left) / box.width) * W; + const y = ((e.clientY - box.top) / box.height) * H; + // The brush size is set in screen pixels, so it feels the same at any zoom. + const radius = (Number(brush.value) / 2) * (W / box.width); + // Fill the gap between pointer events so fast strokes stay continuous. + const steps = last ? Math.max(1, Math.ceil(Math.hypot(x - last[0], y - last[1]) / (radius / 3))) : 1; + for (let i = 1; i <= steps; i++) dab(last ? last[0] + ((x - last[0]) * i) / steps : x, last ? last[1] + ((y - last[1]) * i) / steps : y, radius); + last = [x, y]; + draw(); + }; + paint(event); + const end = () => { + canvas.removeEventListener('pointermove', paint); + if (stroke?.size) history.push(stroke); + if (history.length > 30) history.shift(); + stroke = undefined; + undo.disabled = !history.length; + }; + canvas.addEventListener('pointermove', paint); + canvas.addEventListener('pointerup', end, { once: true }); + canvas.addEventListener('pointercancel', end, { once: true }); + }); + + // ---- Before and after ---- + compare.disabled = false; + const showOriginal = (on: boolean) => { + if (on) { + preview.clearRect(0, 0, canvas.width, canvas.height); + preview.drawImage(photo, 0, 0, canvas.width, canvas.height); + } else draw(); + compare.classList.toggle('active', on); + }; + compare.addEventListener('pointerdown', () => showOriginal(true)); + for (const type of ['pointerup', 'pointerleave', 'pointercancel']) compare.addEventListener(type, () => showOriginal(false)); + compare.addEventListener('keydown', (event) => { + if (event.key === ' ' || event.key === 'Enter') showOriginal(true); + }); + compare.addEventListener('keyup', () => showOriginal(false)); + draw(); + + const base = file.name.replace(/\.[^.]+$/, ''); + return { + async save(options, onProgress) { + onProgress?.(0.2); + const chosen = (['png', 'jpg', 'webp'] as SaveFormat[]).find((f) => f === options.format) ?? (backdrop.kind === 'none' ? 'png' : 'jpg'); + const w = outputWidth(); + const h = Math.max(1, Math.round((H * w) / W)); + const blob = await render(cut, photo, backdrop, w, h, chosen); + onProgress?.(1); + return { + blob, + name: `${base}-${backdrop.kind === 'none' ? 'no-bg' : 'new-bg'}.${chosen}`, + summary: `${w} × ${h} px`, + }; + }, + destroy() { + photo.close(); + ownPhoto?.close(); + viewer.classList.remove('bg-editor'); + viewer.replaceChildren(); + }, + }; +} diff --git a/tests/app.e2e.ts b/tests/app.e2e.ts index 21d61ba..7eaf0a2 100644 --- a/tests/app.e2e.ts +++ b/tests/app.e2e.ts @@ -1027,6 +1027,89 @@ test('publishes sitemap, robots.txt and llms.txt', async ({ request }) => { expect((await request.get('/og.png')).headers()['content-type']).toBe('image/png'); }); +test('removes a picture’s background on the device, keeps its full size, and puts a new one behind', async ({ page }) => { + test.setTimeout(240_000); + const seen = watch(page); + await page.emulateMedia({ reducedMotion: 'reduce' }); // no smooth scrolling while the test measures + await page.goto('/remove-background/'); + // A plain subject on a soft background, drawn here so the test needs no photo fixture. + const photo = await page.evaluate(async () => { + const canvas = new OffscreenCanvas(900, 600); + const c = canvas.getContext('2d')!; + const sky = c.createLinearGradient(0, 0, 0, 600); + sky.addColorStop(0, '#dfe9f3'); + sky.addColorStop(1, '#f7f2e8'); + c.fillStyle = sky; + c.fillRect(0, 0, 900, 600); + c.fillStyle = '#c0392b'; + c.beginPath(); + c.arc(450, 300, 170, 0, Math.PI * 2); + c.fill(); + c.fillStyle = '#2c3e50'; + c.fillRect(420, 120, 60, 80); + return [...new Uint8Array(await (await canvas.convertToBlob({ type: 'image/png' })).arrayBuffer())]; + }); + await page.locator('#file-input').setInputFiles({ name: 'ball.png', mimeType: 'image/png', buffer: Buffer.from(photo) }); + await expect(page.getByRole('button', { name: 'Blur' })).toBeVisible({ timeout: 200_000 }); + await expect(page.locator('.bg-busy')).toBeHidden(); + + /** Alpha (or red, for JPG) at a few points of a downloaded picture, read back by the browser. */ + const sample = async (bytes: Buffer, type: string) => + page.evaluate( + async ([data, mime]) => { + const bitmap = await createImageBitmap(new Blob([new Uint8Array(data as number[])], { type: mime as string })); + const c = new OffscreenCanvas(bitmap.width, bitmap.height).getContext('2d')!; + c.drawImage(bitmap, 0, 0); + const at = (fx: number, fy: number) => [...c.getImageData(Math.floor(bitmap.width * fx), Math.floor(bitmap.height * fy), 1, 1).data]; + return { width: bitmap.width, height: bitmap.height, corner: at(0.02, 0.02), centre: at(0.5, 0.5) }; + }, + [[...bytes], type], + ); + + // No background: a transparent PNG at the original size. + await page.getByRole('button', { name: 'Download image' }).click(); + await expect(page.locator('#status')).toContainText('900 × 600 px'); + const clear = await downloadBytes(page); + expect(clear.name).toBe('ball-no-bg.png'); + const png = await sample(clear.bytes, 'image/png'); + expect([png.width, png.height]).toEqual([900, 600]); + expect(png.corner[3]).toBeLessThan(20); + expect(png.centre).toEqual([192, 57, 43, 255]); + + // White behind, saved smaller: a JPG with white corners. + await page.getByRole('button', { name: 'White' }).click(); + await page.getByRole('combobox', { name: 'Size' }).selectOption('600'); + await page.getByRole('button', { name: 'Download image' }).click(); + await expect(page.locator('#status')).toContainText('600 × 400 px'); + const white = await downloadBytes(page); + expect(white.name).toBe('ball-new-bg.jpg'); + const jpg = await sample(white.bytes, 'image/jpeg'); + expect([jpg.width, jpg.height]).toEqual([600, 400]); + for (const v of jpg.corner.slice(0, 3)) expect(v).toBeGreaterThan(245); + + // Touch up: erasing the middle makes it see-through, and Undo brings it back. + await page.getByRole('button', { name: 'None' }).click(); + await page.getByRole('combobox', { name: 'Size' }).selectOption('900'); + await page.getByRole('button', { name: 'Erase' }).click(); + // The picture scrolls into view for the brush. + await expect(page.locator('.bg-canvas')).toBeInViewport(); + const box = (await page.locator('.bg-canvas').boundingBox())!; + await page.mouse.move(box.x + box.width / 2 - 10, box.y + box.height / 2); + await page.mouse.down(); + await page.mouse.move(box.x + box.width / 2 + 10, box.y + box.height / 2, { steps: 4 }); + await page.mouse.up(); + await page.getByRole('button', { name: 'Download image' }).click(); + await expect(page.locator('#status')).toContainText('900 × 600 px'); + expect((await sample((await downloadBytes(page)).bytes, 'image/png')).centre[3]).toBeLessThan(20); + await page.getByRole('button', { name: 'Undo' }).click(); + await page.getByRole('button', { name: 'Download image' }).click(); + await expect(page.locator('#status')).toContainText('900 × 600 px'); + expect((await sample((await downloadBytes(page)).bytes, 'image/png')).centre[3]).toBe(255); + + expect(seen.violations).toEqual([]); + expect(seen.requests.filter((r) => !r.url.startsWith(page.url().split('/').slice(0, 3).join('/')) && !r.url.startsWith('blob:') && !r.url.startsWith('data:'))).toEqual([]); +}); + test('shares Fizzdoc: the phone’s share sheet, or links to the big networks and a copy button', async ({ browser }) => { const context = await browser.newContext({ permissions: ['clipboard-read', 'clipboard-write'] }); const page = await context.newPage(); diff --git a/tests/matte.test.ts b/tests/matte.test.ts new file mode 100644 index 0000000..f6ce410 --- /dev/null +++ b/tests/matte.test.ts @@ -0,0 +1,127 @@ +import { describe, expect, it } from 'vitest'; +import { applyFit, boxFilter, estimateForeground, firm, guidedFit, planesFromRGBA, refine, type Planes } from '../src/engine/matte'; + +/** Straightforward window mean, to check the running-sum version against. */ +function slowBox(src: Float32Array, w: number, h: number, r: number) { + const out = new Float32Array(w * h); + for (let y = 0; y < h; y++) + for (let x = 0; x < w; x++) { + let sum = 0; + let count = 0; + for (let yy = Math.max(0, y - r); yy <= Math.min(h - 1, y + r); yy++) + for (let xx = Math.max(0, x - r); xx <= Math.min(w - 1, x + r); xx++) { + sum += src[yy * w + xx]; + count++; + } + out[y * w + x] = sum / count; + } + return out; +} + +/** A w×h photo: a red disc on a light grey background, with soft (mixed) pixels at its edge. */ +function disc(w: number, h: number) { + const rgba = new Uint8ClampedArray(w * h * 4); + const truth = new Float32Array(w * h); + for (let y = 0; y < h; y++) + for (let x = 0; x < w; x++) { + const d = Math.hypot(x + 0.5 - w / 2, y + 0.5 - h / 2) - w / 4; + const a = Math.min(1, Math.max(0, 0.5 - d)); // one-pixel soft edge + truth[y * w + x] = a; + const o = (y * w + x) * 4; + rgba.set([Math.round(220 * a + 230 * (1 - a)), Math.round(30 * a + 230 * (1 - a)), Math.round(30 * a + 230 * (1 - a)), 255], o); + } + return { rgba, truth }; +} + +describe('box filter', () => { + it('matches a brute-force window mean, edges included', () => { + const w = 13; + const h = 7; + const src = Float32Array.from({ length: w * h }, (_, i) => Math.sin(i * 1.7) + (i % 5)); + for (const r of [0, 1, 3, 9]) { + const fast = boxFilter(src, w, h, r); + const slow = slowBox(src, w, h, r); + fast.forEach((v, i) => expect(v).toBeCloseTo(slow[i], 4)); + } + }); +}); + +describe('guided filter', () => { + it('leaves a flat mask flat', () => { + const { rgba } = disc(32, 32); + const I = planesFromRGBA(rgba, 32, 32); + const out = applyFit(guidedFit(I, new Float32Array(32 * 32).fill(0.7), 3, 1e-5), I); + out.forEach((v) => expect(v).toBeCloseTo(0.7, 3)); + }); + + it('fits an enlarged low-resolution mask to the photo’s real edge', () => { + // A wavy blob, and the mask a model 4 times smaller would give back, enlarged smoothly. + const w = 128; + const k = 4; + const s = w / k; + const rgba = new Uint8ClampedArray(w * w * 4); + const truth = new Float32Array(w * w); + for (let y = 0; y < w; y++) + for (let x = 0; x < w; x++) { + const radius = 32 + 6 * Math.sin(Math.atan2(y - 64, x - 64) * 7); + const a = Math.min(1, Math.max(0, 0.5 - (Math.hypot(x + 0.5 - 64, y + 0.5 - 64) - radius))); + truth[y * w + x] = a; + rgba.set([200 * a + 60 * (1 - a), 40 * a + 180 * (1 - a), 50 * a + 120 * (1 - a), 255], (y * w + x) * 4); + } + const low = new Float32Array(s * s).map((_, i) => { + let sum = 0; + for (let yy = 0; yy < k; yy++) for (let xx = 0; xx < k; xx++) sum += truth[(Math.floor(i / s) * k + yy) * w + (i % s) * k + xx]; + return sum / (k * k); + }); + const enlarged = new Float32Array(w * w).map((_, i) => { + const fx = Math.min(Math.max(((i % w) + 0.5) / k - 0.5, 0), s - 1); + const fy = Math.min(Math.max((Math.floor(i / w) + 0.5) / k - 0.5, 0), s - 1); + const [x0, y0] = [Math.floor(fx), Math.floor(fy)]; + const [x1, y1] = [Math.min(x0 + 1, s - 1), Math.min(y0 + 1, s - 1)]; + const [tx, ty] = [fx - x0, fy - y0]; + return low[y0 * s + x0] * (1 - tx) * (1 - ty) + low[y0 * s + x1] * tx * (1 - ty) + low[y1 * s + x0] * (1 - tx) * ty + low[y1 * s + x1] * tx * ty; + }); + const I = planesFromRGBA(rgba, w, w); + const fitted = applyFit(guidedFit(I, firm(enlarged), 3, 1e-5), I); + const error = (m: Float32Array) => m.reduce((sum, v, i) => sum + Math.abs(v - truth[i]), 0) / m.length; + expect(error(fitted)).toBeLessThan(error(enlarged) / 2.5); + }); +}); + +describe('foreground colours', () => { + it('recovers the subject’s colour in mixed edge pixels', () => { + const w = 64; + const { rgba, truth } = disc(w, w); + const I = planesFromRGBA(rgba, w, w); + const F = estimateForeground(I, truth, 3); + let checked = 0; + for (let i = 0; i < truth.length; i++) { + if (truth[i] < 0.3 || truth[i] > 0.7) continue; + // The photo's edge pixel is half grey; the estimate should be close to the disc's red. + expect(I.g[i]).toBeGreaterThan(0.4); + expect(F.r[i]).toBeGreaterThan(0.75); + expect(F.g[i]).toBeLessThan(0.3); + checked++; + } + expect(checked).toBeGreaterThan(10); + }); +}); + +describe('refine', () => { + it('builds a full-size cut-out from a small mask', () => { + const W = 200; + const { rgba } = disc(W, W); + // The small copy and a coarse mask from it, as the worker prepares them. + const s = 50; + const small: Planes = planesFromRGBA(disc(s, s).rgba, s, s); + const coarse = boxFilter(disc(s, s).truth, s, s, 2); + refine(rgba, W, W, small, coarse, 25); + const alphaAt = (x: number, y: number) => rgba[(y * W + x) * 4 + 3]; + expect(alphaAt(100, 100)).toBe(255); // centre of the disc + expect(alphaAt(5, 5)).toBe(0); // background corner + expect(alphaAt(100, 55)).toBeGreaterThan(200); // just inside the edge (radius 50 around 100,100) + expect(alphaAt(100, 45)).toBeLessThan(60); // just outside it + // Opaque pixels keep their exact colour. + expect([...rgba.subarray((100 * W + 100) * 4, (100 * W + 100) * 4 + 3)]).toEqual([220, 30, 30]); + }); +}); diff --git a/vite-plugins/background-assets.ts b/vite-plugins/background-assets.ts new file mode 100644 index 0000000..f7e52e6 --- /dev/null +++ b/vite-plugins/background-assets.ts @@ -0,0 +1,54 @@ +// Serves ONNX Runtime's WebGPU build from our own origin under /bg/ort/, for Remove Background. +// Its WebAssembly file is over 25 MiB, too big for static hosts, so it goes out in parts with a +// manifest, the same way the models do (see scripts/background-model.py); the page joins them and +// keeps the result in the browser's cache. Devices without WebGPU use the smaller CPU build that +// Audio to Text already serves under /whisper/ort/. +import { createHash } from 'node:crypto'; +import { createRequire } from 'node:module'; +import { readFileSync } from 'node:fs'; +import { dirname, join } from 'node:path'; +import type { Plugin } from 'vite'; + +const require = createRequire(import.meta.url); +const NAME = 'ort-wasm-simd-threaded.asyncify.wasm'; +const GLUE = 'ort-wasm-simd-threaded.asyncify.mjs'; +const PART = 20 * 1024 * 1024; + +/** + * The WebGPU build's own module, for `import('ort-webgpu')` (the package alias points elsewhere). The + * "extern wasm" variant, so Vite doesn't copy the 27 MB binary into the build (static hosts cap files + * at 25 MiB); it loads its small loader from /bg/ort/ and is handed the binary joined from parts. + */ +export const ORT_WEBGPU = join(dirname(require.resolve('onnxruntime-web')), 'ort.webgpu.min.mjs'); + +function files() { + const bytes = readFileSync(join(dirname(require.resolve('onnxruntime-web')), NAME)); + const parts = new Map(); + for (let at = 0; at < bytes.length; at += PART) parts.set(`${NAME}.part${parts.size}`, bytes.subarray(at, at + PART)); + const manifest = { + files: [{ path: NAME, size: bytes.length, sha256: createHash('sha256').update(bytes).digest('hex'), parts: [...parts.keys()] }], + }; + parts.set('manifest.json', new TextEncoder().encode(`${JSON.stringify(manifest)}\n`)); + // The runtime's small loader script, which it imports from the same folder. + parts.set(GLUE, readFileSync(join(dirname(require.resolve('onnxruntime-web')), GLUE))); + return parts; +} + +export function backgroundAssets(): Plugin { + const served = files(); + return { + name: 'fizzdoc-background-assets', + configureServer(server) { + server.middlewares.use((req, res, next) => { + const match = /^\/bg\/ort\/([^/?]+)/.exec(req.url ?? ''); + const body = match && served.get(match[1]); + if (!body) return next(); + res.setHeader('Content-Type', match[1].endsWith('.json') ? 'application/json' : match[1].endsWith('.mjs') ? 'text/javascript' : 'application/octet-stream'); + res.end(body); + }); + }, + generateBundle() { + for (const [name, source] of served) this.emitFile({ type: 'asset', fileName: `bg/ort/${name}`, source }); + }, + }; +} diff --git a/vite.config.ts b/vite.config.ts index 7d7a4a3..ff3a3f6 100644 --- a/vite.config.ts +++ b/vite.config.ts @@ -4,6 +4,7 @@ import { PAGES, SITE_LANGS, fileName, llms, llmsFor, llmsFull, notFoundPage, ren import { SITE } from './src/site.ts'; import { ocrAssets } from './vite-plugins/ocr-assets.ts'; import { whisperAssets } from './vite-plugins/whisper-assets.ts'; +import { ORT_WEBGPU, backgroundAssets } from './vite-plugins/background-assets.ts'; /** * The repo's star count, baked into the pages at build time so visitors' browsers never call GitHub. @@ -66,10 +67,26 @@ function pages(): Plugin { }; } +/** Static hosts refuse files over 25 MiB (Cloudflare Pages); fail the build here instead of at deploy. */ +function sizeGuard(): Plugin { + const LIMIT = 25 * 1024 * 1024; + return { + name: 'fizzdoc-size-guard', + enforce: 'post', + generateBundle(_, bundle) { + for (const [name, item] of Object.entries(bundle)) { + const size = item.type === 'asset' ? (typeof item.source === 'string' ? Buffer.byteLength(item.source) : item.source.length) : Buffer.byteLength(item.code); + if (size > LIMIT) this.error(`${name} is ${(size / 1048576).toFixed(1)} MiB; static hosts accept at most 25 MiB per file. Split it into parts.`); + } + }, + }; +} + export default defineConfig({ - plugins: [pages(), ocrAssets(), whisperAssets()], + plugins: [pages(), ocrAssets(), whisperAssets(), backgroundAssets(), sizeGuard()], // Audio to Text runs Whisper on ONNX Runtime's CPU build; its WebGPU build is too big to host. - resolve: { alias: { 'onnxruntime-web/webgpu': 'onnxruntime-web/wasm' } }, + // Remove Background imports the real WebGPU build by its own name, 'ort-webgpu'. + resolve: { alias: { 'onnxruntime-web/webgpu': 'onnxruntime-web/wasm', 'ort-webgpu': ORT_WEBGPU } }, worker: { format: 'es' }, build: { target: 'es2022' }, test: { include: ['tests/**/*.test.ts'] },