u/sophia-yang-mistral

We've released OCR 4.1, an update to Mistral's state-of-the-art OCR model, improving accuracy across six areas.

What's new in OCR 4.1:

• Bounding boxes align to the content they mark, with no nested images and no drift.
• Reference pages keep their structure, returning one box per citation instead of collapsing the list into a single block.
• The model misses fewer blocks on complex pages.
• Double quotes stay as written, no longer converted to single quotes.
• OCR 4.1 recognizes a wider range of checkbox styles.
• Right-to-left tables parse more accurately.
• The mistral-ocr-latest alias now points to OCR 4.1, so existing integrations already have these improvements.

Please also note that OCR API prices increased on June 23, to $4 per 1,000 pages for OCR 4 and $5 for Document AI (up from $2). OCR 3 remains available at the previous rate of $2 per 1,000 pages.

Try OCR 4.1 in Studio.

Happy building!
The Mistral team.

OCR has always been about extracting text. But text without structure is just noise.
Mistral OCR 4 gives you both: the text and the structure. Bounding boxes. Block classification (titles, tables, equations, signatures). Confidence scores per region.
This means you can actually use the output for:

• Source-grounded citations
• Precise redactions
• Semantic chunking for RAG
• Human-in-the-loop review

Why it’s different:
✅ 72% preferred over competitors in blind tests (600+ docs, 12+ languages)
✅ #1 on OlmOCRBench
✅ 170 languages, with breakthroughs on rare/low-resource ones
Available now: API, Mistral AI Studio, SageMaker, Foundry, as part of Search Toolkit, and coming soon Snowflake Parse Document

Read more: https://mistral.ai/news/ocr-4

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