Research + corpus-building uses. Benchmarks don’t count.
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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. 042AI
spaCy
Python toolkit that, among other things, finds names of people, places, organisations and dates in text.
At a glance
Maker
Explosion
Released
2015
Licence
Open source (MIT)
Cost
Free
Runs
Your own machine (Python)
Skill
Programming
Historian’s notes
Where your sources goFully local.
How it’s been testedLowest of three tools on 18th-century texts (F1 about 0.4). Off-the-shelf about 0.15–0.19 on colonial Persian Gulf records; 0.65–0.78 after retraining.
Known problems on historical sourcesIts ready-made models learned from modern web text, so they miss historical spellings and transliterated names. Plan to annotate examples and retrain.
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.