Research + corpus-building uses. Benchmarks don’t count.
The drawers
A tool can be filed in more than one drawer
DRAWER I
AI & History
Machine learning, vision-language models and speech models. Every card here carries notes on where your sources go, how it was tested, and how it fails.
Guide cards
Counts research and corpus-building uses in the window, plus “I’m using this now” check-ins. Benchmarks don’t count.
tool · No. 020AI
Mistral OCR
Commercial cloud OCR that converts scans into structured text in about 170 languages, cheaply per page for bulk jobs.
At a glance
Maker
Mistral AI (France)
Released
Mar 2025 (now 4.1)
Licence
Proprietary
Cost
About $4 per 1,000 pages ($2 by batch)
Runs
Hosted API and web playground
Skill
Some code
Historian’s notes
Where your sources goSent to Mistral; kept 30 days for abuse checks unless zero-retention is granted. Terms say no training on customer data, with exceptions.
How it’s been tested1.4–3.4% error on the 1743 Dictionnaire de Trévoux (LIRIS, Lyon).
Known problems on historical sourcesKurrent and other German scripts remain hard; poor on Greek and Hebrew. The “latest” model changes underneath you, so pin a version for a consistent corpus.
Used in research0
No published research uses found yet. Using it in a project? Tell us.
Nobody has said they’re using it in 2026 yet.
“I’m using this now” asks you to sign in with ORCID.
One count per person per year; it adds to Trending, and names are never shown.