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Running on Zero
| title: MonkeyOCRv2 Document Parser | |
| emoji: π | |
| colorFrom: red | |
| colorTo: gray | |
| sdk: gradio | |
| sdk_version: 6.15.1 | |
| app_file: app.py | |
| short_description: Parse document images into structured Markdown | |
| python_version: "3.12" | |
| startup_duration_timeout: 30m | |
| # MonkeyOCRv2 Document Parser | |
| This Space demonstrates **MonkeyOCRv2-B-Parsing**, a visual-text foundation model for Document AI. | |
| Upload a document image and the model will: | |
| 1. **Detect layout** β identify text blocks, tables, formulas, pictures, headers, footers, and their reading order | |
| 2. **Recognize content** β extract text, render tables as HTML, formulas as LaTeX, and pictures as embedded images | |
| 3. **Output structured Markdown** β a clean, readable representation of the document | |
| ## Model | |
| - **HF Model**: [`zenosai/MonkeyOCRv2-B-Parsing`](https://huggingface.co/zenosai/MonkeyOCRv2-B-Parsing) | |
| - **Paper**: [MonkeyOCRv2: A Visual-Text Foundation Model for Document AI](https://huggingface.co/papers/2607.11562) | |
| - **GitHub**: [Yuliang-Liu/MonkeyOCRv2](https://github.com/Yuliang-Liu/MonkeyOCRv2) | |
| ## Supported Document Types | |
| Receipts, academic papers, forms, tables, mathematical formulas, multi-language documents | |
| (ZH, EN, AR, DE, ES, FR, HI, ID, IT, JP, KO, NL, PT, RU, TH, VI). |