Pyyan / Compare / DeepSeek-OCR vs olmOCR
DeepSeek-OCR vs olmOCR
2 of 5OCR & Document AI · verified 13 Aug 2026
DeepSeek-OCRDeepSeekcurrent
olmOCRAllen Institute for AIcurrent| Specification | DeepSeek-OCR | olmOCR |
|---|---|---|
| Summary | Compresses pages into far fewer vision tokens. | Fully open pipeline, weights and data. |
| OmniDocBench | ~92 | ~91 |
| Open weights | Yes | Yes |
| Handles | Dense text, tables | Tables, markdown structure |
| Licence | MIT | Apache 2.0 |
| Kind | Vision language model | Vision language model |
| Category | OCR & Document AI | OCR & Document AI |
| Official | DeepSeek ↗ | Allen Institute for AI ↗ |
Highlighted rows are where these differ.
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.
olmOCR
- Preserves reading order and markdown structure
- Training data published, which is rare
Best for reproducible research pipelines.