https://mistral.ai/news/mistral-ocr-3 Mistral AI Logo Mistral AI Logo White * Products * Solutions * Research * Resources * Pricing * Company Try AI Studio Talk to sales Mistral AI Logo Mistral AI Logo White Mistral OCR 3 Achieving a new frontier for both accuracy and efficiency in document processing. Introducing Mistral OCR 3 Handwritten note Tuesday 8:30 pm. Just had dinner. Did not get home until nearly 8 pm. as I am now very busy at the office. Westcott came today and is trying to raise money at last minute. I have to hand over balance of work to the liquidators & also finish off books before shipping them to N. York tomorrow. Glad to say it rained heavily the whole day yesterday, which kept things quiet politically, but of course, it was rotten getting to office back. Went to bed at 9-20 pm. I am not going out tonight. Will martial law, but things look better today as the teams are running & the P.O. is open & I can post this tomorrow. Will be out all day tomorrow as I have invited 6 Chinese & Mr Westcott to tiffin. Will go to Eddie's Cafe on Broadway as I believe it is good & has music. At 6 pm. I am invited to a Chinese dinner which M. H. is giving at his home for me. I bought some socks to-day & studs for shirt. Just thought on - I gave your empty ear-rings to Armenian shop to get Ural stones put in, but he was not able to go to town last week, so perhaps he has now been & I shall take a walk there now & get them back. Don't expect he has got any to fit. Achieving a new frontier for both accuracy and efficiency in document processing. Highlights * Breakthrough performance: 74% overall win rate over Mistral OCR 2 on forms, scanned documents, complex tables, and handwriting. * State-of-the-art accuracy, outperforming both enterprise document processing solutions as well as AI-native OCR solutions * Now powers Document AI Playground in Mistral AI Studio, a simple drag-and-drop interface for parsing PDFs/images into clean text or structured JSON * Major upgrade over Mistral OCR 2 in forms, handwritten content, low-quality scans, and tables Overview Mistral OCR 3 is designed to extract text and embedded images from a wide range of documents with exceptional fidelity. It supports markdown output enriched with HTML-based table reconstruction, enabling downstream systems to understand not just document content, but also structure. As a much smaller model than most competitive solutions, it is available at an industry-leading price of $2 per 1,000 pages, with a 50% Batch-API discount, reducing the cost to $1 per 1,000 pages. Developers can integrate the model (mistral-ocr-2512) via API, and users can leverage Document AI, a UI that parses documents into text or structured JSON instantly. Complex TablesForm understandingLetter Visit playground Complex Tables4941 chars [image] RenderMarkdown TABLE 21. Doctoral degrees awarded to men, by major field group: 1966-2012 Academic All Science and Non-S& year fields engineering E ending fields fields Biological Earth, Mathematics Total and atmospheric, and Physical Psychology Social Engineering agricultural and ocean computer sciences sciences sciences sciences sciences 1966 15,863 10,646 2,386 392 722 2,535 894 1,424 2,293 5,217 1967 17,961 12,013 2,565 412 782 2,930 1,030 1,699 2,595 5,948 1968 20,005 13,328 3,028 432 924 3,064 1,131 1,906 2,843 6,677 1969 22,355 14,781 3,278 487 1,013 3,241 1,350 2,156 3,256 7,574 1970 25,527 16,404 3,627 493 1,148 3,666 1,446 2,604 3,420 9,123 1971 27,271 17,385 3,897 538 1,142 3,718 1,615 2,992 3,483 9,886 1972 27,754 17,191 3,802 561 1,185 3,404 1,670 3,088 3,481 10,563 1973 27,670 16,853 3,764 557 1,113 3,209 1,741 3,151 3,318 10,817 1974 26,594 16,043 3,571 547 1,096 2,902 1,797 3,016 3,114 10,551 1975 25,751 15,870 3,623 535 1,038 2,811 1,878 3,035 2,950 9,881 1976 25,262 15,375 3,559 531 890 2,617 1,937 3,061 2,780 9,887 1977 23,858 14,775 3,470 588 837 2,477 1,902 2,932 2,569 9,083 1978 22,553 14,199 3,449 524 828 2,364 1,928 2,736 2,370 8,354 1979 22,301 14,128 3,516 542 833 2,381 1,831 2,596 2,429 8,173 1980 21,612 13,814 3,599 530 846 2,199 1,787 2,464 2,389 7,798 1981 21,463 14,056 3,607 484 822 2,318 1,885 2,511 2,429 7,407 1982 21,016 13,924 3,594 512 824 2,337 1,720 2,415 2,522 7,092 1983 20,748 13,920 3,429 501 838 2,430 1,750 2,315 2,657 6,828 1984 20,636 13,954 3,565 472 841 2,446 1,625 2,244 2,761 6,682 1985 20,552 14,043 3,530 470 859 2,452 1,576 2,188 2,968 6,509 1986 20,592 14,268 3,378 462 959 2,585 1,527 2,207 3,150 6,324 1987 20,934 14,580 3,307 491 999 2,686 1,474 2,153 3,470 6,354 1988 21,677 15,267 3,477 541 1,087 2,759 1,392 2,111 3,900 6,410 1989 21,811 15,622 3,481 542 1,209 2,627 1,408 2,188 4,167 6,189 1990 22,960 16,498 3,680 581 1,329 2,840 1,368 2,221 4,479 6,462 1991 23,521 16,982 3,743 626 1,514 2,919 1,249 2,229 4,702 6,539 1992 24,235 17,423 3,816 585 1,588 2,961 1,327 2,285 4,861 6,812 1993 24,387 17,571 3,800 566 1,602 2,868 1,322 2,315 5,098 6,816 1994 25,061 18,167 3,940 622 1,641 3,104 1,273 2,435 5,152 6,894 1995 25,162 18,119 3,989 577 1,727 2,922 1,245 2,388 5,271 7,043 1996 25,293 18,461 4,101 565 1,656 2,961 1,163 2,523 5,492 6,832 1997 24,944 18,084 4,046 608 1,594 2,880 1,162 2,478 5,316 6,860 1998 24,630 17,810 4,075 564 1,638 2,865 1,205 2,352 5,111 6,820 1999 23,439 16,735 3,919 535 1,495 2,722 1,209 2,350 4,505 6,704 2000 23,166 16,518 3,943 495 1,507 2,546 1,203 2,365 4,459 6,648 2001 22,782 16,189 3,766 461 1,407 2,531 1,128 2,324 4,572 6,593 2002 21,812 15,392 3,830 477 1,291 2,335 1,065 2,217 4,177 6,420 2003 22,257 15,761 3,777 470 1,419 2,396 1,043 2,286 4,370 6,496 2004 22,965 16,417 3,830 448 1,520 2,470 1,081 2,313 4,755 6,548 2005 23,736 17,405 3,913 470 1,782 2,670 1,058 2,285 5,227 6,331 2006 25,023 18,375 3,998 490 2,074 2,831 936 2,317 5,729 6,648 2007 26,203 19,542 4,388 542 2,308 2,905 941 2,317 6,141 6,661 2008 26,272 19,857 4,489 548 2,353 2,957 999 2,343 6,168 6,415 2009 26,332 19,840 4,495 539 2,327 2,995 991 2,487 6,006 6,492 2010 25,527 19,570 4,355 496 2,435 2,924 1,033 2,523 5,804 5,957 2011 26,192 20,380 4,464 522 2,494 3,167 1,003 2,527 6,203 5,812 2012 27,390 21,233 4,578 496 2,683 3,214 1,047 2,688 6,527 6,157 S&E = science and engineering. NOTE: See appendix B for specific fields that are included in each category. SOURCE: National Science Foundation, National Center for Science and Engineering Statistics, Survey of Earned Doctorates. Benchmarks To raise the bar, we introduced more challenging internal benchmarks based on real business use-case examples from customers. We then evaluated several models across the domains highlighted below, comparing their outputs to ground truth using fuzzy-match metric for accuracy. Ocr Multilangual Ocr 3 Upgrades over previous generations of OCR models Whereas most OCR solutions today specialize in specific document types, Mistral OCR 3 is designed to excel at processing the vast majority of document types in organizations and everyday settings. * Handwriting: Mistral OCR accurately interprets cursive, mixed-content annotations, and handwritten text layered over printed forms. * Forms: Improved detection of boxes, labels, handwritten entries, and dense layouts. Works well on invoices, receipts, compliance forms, government documents, and such. * Scanned & complex documents: Significantly more robust to compression artifacts, skew, distortion, low DPI, and background noise. * Complex tables: Reconstructs table structures with headers, merged cells, multi-row blocks, and column hierarchies. Outputs HTML table tags with colspan/rowspan to fully preserve layout. Mistral OCR 3 is a significant upgrade across all languages and document form factors compared to Mistral OCR 2. Win Rates Mistral Ocr 3 Vs Ocr 2 Recommend use cases and applications Mistral OCR 3 is ideal for both high-volume enterprise pipelines and interactive document workflows. Developers can use it for: * Extracting text and images into markdown for downstream agents and knowledge systems * Automated parsing of forms, invoices, and operational documents * End-to-end document understanding pipelines * Digitization of handwritten or historical documents * Any other document - knowledge transformation applications. Our early customers are using Mistral OCR 3 to process invoices into structured fields, digitize company archives, extract clean text from technical and scientific reports, and improve enterprise search. "OCR remains foundational for enabling generative AI and agentic AI," said Tim Law, IDC Director of Research for AI and Automation. "Those organizations that can efficiently and cost-effectively extract text and embedded images with high fidelity will unlock value and will gain a competitive advantage from their data by providing richer context." Available today Access the model either through the API or via the new Document AI Playground interface, both in Mistral AI Studio. Mistral OCR 3 is fully backward compatible with Mistral OCR 2. For more details, head over to mistral.ai/docs. Share this article More from Mistral AI * News * Models * AI Services The next chapter of AI is yours. Try le Chat Build on AI Studio Talk to an expert LeChat - Mistral App Store Mistral AIGoogle Play Mistral AI Mistral AI (c) 2025 Why Mistral About usOur customersCareersContact us Explore AI solutionsPartnersResearchDocumentation Build AI StudioLe ChatMistral CodeMistral Compute Legal Terms of servicePrivacy policyPrivacy choicesData processing agreementLegal noticeBrand en Mistral AI (c) 2025 [imag][imag][imag]