Mistral OCR 3 extracts text and images from documents with SOTA accuracy. It handles handwriting, complex tables, and scanned forms, outputting clean markdown.
Hi everyone!
Just checked out Mistral OCR 3. The handwriting recognition capabilities look stunning, handling even messy scribbles that usually break other models.
The performance on complex tables and scanned forms also seems very robust. On the technical side, getting clean Markdown with HTML table structures straight from the API is a huge win for RAG pipelines.
At $1/1k pages via Batch API, the pricing is also very competitive.
@Mistral AI Accurate OCR for handwriting and complex tables solves real pain points! The $1 per 1k pages pricing via Batch API is very competitive for high volume use cases.
How does it handle mixed content (printed text, handwriting, and tables all on the same page)? And does the API return structured data that's ready for RAG pipelines, or does it require post processing?
Love this positioning. Open models with permissive licensing build real trust, and having optimized commercial versions alongside makes adoption practical at scale.
Clear separation between community-first openness and production-ready performance — that balance matters.
I think this is awesome and can be game-changing for note-taking apps. Also, for people with ADHD, which takes benefit more from handwriting than typing.
I am personally developing an app that could greatly benefit from such an update.
Congrats on the launch! I just tried OCR 3 and decided to push it a bit by uploading an image with non-English text. It handled it flawlessly—nice work. Also, the subscription flow was smooth and frictionless. I really appreciate how easy it is to use. I’ll definitely keep an eye on the product and continue using it.
Open weights + OCR 3 looks handy. If it really handles handwriting and gnarly tables, that could save me hours on invoices. Clean markdown is a nice touch. How’s it on noisy scans / mixed languages? I might finally retire my hacky Tesseract + scripts.
It's good OCR model but they have increased prices by 100% for this. If they keep doing that, this will not be really positive for their business and they will lose a lot of customers even though their model is good
Wow, this is great, we should look if this is suitable for our DeepTagger,
DeepTagger is also about extracting structured data, but it's easier and more visual to create JSON schema, and it's easier to inspect result, as it's shown right on the document.
Thos benchmarks are truly impressive! 🚀
About Mistral OCR 3 on Product Hunt
“Accurate OCR for notes, forms, tables and handwriting”
Mistral OCR 3 launched on Product Hunt on December 22nd, 2025 and earned 174 upvotes and 9 comments, placing #6 on the daily leaderboard. Mistral OCR 3 extracts text and images from documents with SOTA accuracy. It handles handwriting, complex tables, and scanned forms, outputting clean markdown.
Mistral OCR 3 was featured in API (98k followers), Artificial Intelligence (466.3k followers) and Development (5.8k followers) on Product Hunt. Together, these topics include over 99.5k products, making this a competitive space to launch in.
Who hunted Mistral OCR 3?
Mistral OCR 3 was hunted by Zac Zuo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Zac Zuo