EasyOCR is an open-source Python module that extracts text from images, handling both dense document text and natural scene text – signs, packaging, screenshots – across more than 80 languages.
The language coverage is what sets it apart from the obvious alternatives. Beyond the usual European set it supports Abaza, Adyghe, Avar, Dargwa, Chechen, Bhojpuri, Angika and many others – scripts and languages that commercial OCR services routinely skip because the commercial case is thin. For anyone working with archives, minority-language material or documents from regions that mainstream vendors ignore, that coverage is the entire reason to choose it.
Getting started is genuinely three lines: install, construct a reader with your languages, call readtext. It is Apache-2.0 licensed with roughly 30,000 GitHub stars, built by the small independent lab now trading as jDai. Check activity before depending on it: the repository is not archived, but the most recent commit at the time of review was December 2025 – mature and stable rather than actively developed. Accuracy also varies considerably by language and image quality, so test on your own material.
