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Mistral OCR 3

Mistral's document OCR model — 74% win rate vs OCR 2, $2/1k pages, forms + handwriting

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paidDR 87API pricing: $2 per 1,000 pages. Batch API: $1 per 1,000 pages (50% discount). Self-hosting option available for data-privacy requirements. Testable via Document AI Playground in Mistral AI Studio — no code required.View full pricing →
💰 View Detailed Pricing →Try Mistral OCR 3 →

About Mistral OCR 3

Mistral's third-generation document intelligence model, released December 17, 2025. Mistral OCR 3 extracts text and embedded images from PDFs and scanned documents with 74% win rate over Mistral OCR 2, particularly on forms, handwriting, low-quality scans, and complex tables. Outputs markdown enriched with HTML-based table reconstruction (colspan/rowspan). Priced at $2 per 1,000 pages ($1 with Batch API). Powers the Document AI Playground in Mistral AI Studio — drag-and-drop PDF to clean text or structured JSON. Model ID: mistral-ocr-2512.

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Key Features

✓74% overall win rate over Mistral OCR 2 across forms, scanned docs, tables, and handwriting
✓HTML-based table reconstruction with colspan/rowspan to preserve column hierarchies and merged cells
✓Handwriting recognition: cursive, mixed-content annotations, handwritten text over printed forms
✓Forms processing: invoices, receipts, compliance forms, government documents, dense layouts
✓Robust to compression artifacts, skew, low DPI, and background noise in scanned documents
✓Outputs markdown enriched with HTML table tags for downstream agent and knowledge system use
✓Document AI Playground: drag-and-drop PDF/image parsing into clean text or structured JSON
✓Model ID: mistral-ocr-2512 — backward compatible with Mistral OCR 2
✓$2 per 1,000 pages; $1 with Batch API (50% discount)
✓Self-hosting available for GDPR/classified data requirements
✓Outperforms enterprise document processing solutions and AI-native OCR products on Mistral's benchmarks

Mistral OCR 3 Pros & Cons

✅ Pros

  • +74% win rate over Mistral OCR 2 — meaningful accuracy jump, especially on handwriting and forms
  • +HTML table reconstruction preserves complex table structure (merged cells, multi-row blocks) that plain text OCR loses
  • +At $2/1k pages ($1 batch), undercuts most enterprise OCR APIs on price
  • +Document AI Playground enables non-developer use without API integration
  • +Self-hosting option covers data-privacy-sensitive deployments
  • +Backward compatible — existing mistral-ocr-2 integrations migrate without code changes

⚠️ Cons

  • −No open weights — API-only (or self-hosting on request), not freely downloadable
  • −Benchmark comparisons are Mistral-published; independent third-party evaluations not yet widely available
  • −Structured JSON output is UI-based (Document AI Playground); programmatic JSON extraction requires downstream parsing of markdown
  • −Pricing per page rather than per token makes cost estimation different from standard LLM APIs

Who Is Mistral OCR 3 Best For?

👤Enterprise teams processing large volumes of invoices, receipts, or compliance forms that require structured extraction
👤Organizations digitizing handwritten archives, historical records, or annotated documents
👤Developers building document-understanding pipelines that need clean markdown with preserved table structure
👤Teams with HIPAA/GDPR requirements needing on-prem document parsing without sending data to third-party OCR APIs

Tags

mistralocrdocument-aipdf-parsingapidocument-intelligencehandwriting-recognitiontable-extraction
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