🚀 DeepSeek-OCR-2 Demo

Convert documents to markdown, extract text, parse figures, and locate specific content with bounding boxes. Model uses DeepEncoder v2 and achieves 91.09% on OmniDocBench (+3.73% over v1).

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Task
Examples
Input Image Task Prompt

Configuration

1024 base + 768 patches with dynamic cropping (2-6 patches). 144 tokens per patch + 256 base tokens.

Tasks

  • Markdown: Convert document to structured markdown with layout detection (grounding ✅)
  • Free OCR: Simple text extraction without layout
  • Locate: Find and highlight specific text/elements in image (grounding ✅)
  • Describe: General image description
  • Custom: Your own prompt

Special Tokens

  • <image> - Placeholder where visual tokens are inserted
  • <|grounding|> - Enables layout detection with bounding boxes
  • <|ref|>text<|/ref|> - Reference text to locate in the image