Mistral OCR 3: Turning Messy Documents into Machine-Ready Knowledge

Most organizations are drowning in PDFs, scans, and handwritten notes that traditional OCR can’t reliably convert into usable data. Mistral OCR 3 is built to fix that, shifting from basic text extraction to true, structure-aware document understanding.

What Mistral OCR 3 Delivers - High-accuracy OCR across invoices, receipts, dense forms, government and compliance docs, technical/scientific reports, and even handwriting or low-DPI scans. - A 74% overall win rate over Mistral OCR 2 on forms, scanned docs, complex tables, and handwritten content. - Markdown output enriched with HTML table reconstruction (headers, merged cells, multi-row blocks, colspan/rowspan) to preserve layout and hierarchy. - Small, efficient model footprint: just $2 per 1,000 pages, or $1 via Batch API. - Powers the Document AI Playground in Mistral AI Studio: drag-and-drop PDFs/images, get clean text or structured JSON. - Fully backward compatible with Mistral OCR 2 and available via API and Studio UI under the model name `mistral-ocr-2512`.

Built for Real-World AI Workflows - Benchmarked on noisy, complex customer documents, optimized for both high-volume pipelines and interactive use. - Ideal for invoice field extraction, digitizing archives, cleaning technical reports, and boosting enterprise search. - High-fidelity OCR becomes a foundation for generative and agentic AI by turning heterogeneous, archival, and handwritten content into machine-usable knowledge. - As IDC’s Tim Law notes, organizations that can efficiently and cost-effectively extract rich, high-fidelity data gain a lasting competitive edge.

Mistral OCR 3 is a high-accuracy, low-cost, structure-aware OCR model that makes complex, real-world documents reliably searchable, analyzable, and ready for downstream AI and knowledge workflows."