Pyyan / Compare / Docling vs DeepSeek-OCR
Docling vs DeepSeek-OCR
2 of 5OCR & Document AI · verified 13 Aug 2026
DoclingIBMcurrentDeepSeek-OCRDeepSeekcurrent
| Specification | Docling | DeepSeek-OCR |
|---|---|---|
| Summary | Document conversion aimed squarely at RAG pipelines. | Compresses pages into far fewer vision tokens. |
| OmniDocBench | ~88 | ~92 |
| Open weights | Yes | Yes |
| Handles | PDF, DOCX, PPTX, HTML | Dense text, tables |
| Licence | MIT | MIT |
| Kind | Pipeline | Vision language model |
| Category | OCR & Document AI | OCR & Document AI |
| Official | IBM ↗ | DeepSeek ↗ |
Highlighted rows are where these differ.
Docling
- Outputs a structured document model, not just text
- Integrates with LlamaIndex and LangChain
Best for feeding a retrieval pipeline.
DeepSeek-OCR
- Treats the page image as compressed context
- Notable for cost per page rather than raw accuracy
Best for long documents on a budget.