Pyyan / Compare / Mistral OCR vs dots.ocr vs DeepSeek-OCR
OCR & Document AI · verified 13 Aug 2026
| Specification | Mistral OCR | dots.ocr | DeepSeek-OCR |
|---|---|---|---|
| Summary | A hosted API built for document ingestion. | Small, multilingual, layout-aware. | Compresses pages into far fewer vision tokens. |
| OmniDocBench | ~92 | ~93 | ~92 |
| Open weights | No | Yes | Yes |
| Handles | Tables, images, equations | Layout, 100+ languages | Dense text, tables |
| Licence | Proprietary | MIT | MIT |
| Kind | Hosted API | Vision language model | Vision language model |
| Category | OCR & Document AI | OCR & Document AI | OCR & Document AI |
| Official | Mistral AI ↗ | Xiaohongshu ↗ | DeepSeek ↗ |
Highlighted rows are where these differ.
Best for teams who want no infrastructure.
Best for multilingual layout parsing.
Best for long documents on a budget.