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. 016AI
Chandra
Vision-language model that turns scans and PDFs into structured text, keeping tables and layout. Chandra 2 covers about 90 languages.
At a glance
Maker
Datalab
Released
Oct 2025 (v2: Mar 2026)
Licence
Code Apache-2.0; weights free for research and small organisations
Cost
Free to self-host; API about $4–10 per 1,000 pages
Runs
Your own GPU, hosted API or web playground
Skill
Some code
Historian’s notes
Where your sources goDatalab says its hosted service keeps no data by default. Self-host to keep sources on your machine.
How it’s been tested0.58% error on clean 19th-century print and 2.58% on early-modern print (Clifford et al. 2026); 13% mean error on degraded Uruguayan microfilm.
Known problems on historical sourcesOn damaged pages it adds text that isn’t there, swaps one name for another and standardises spelling. Occasional severe failures hide behind good median scores.
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.