PaddleOCR

PaddleOCR is the workhorse of open source OCR. Built by Baidu, it reads text out of images and documents in over 100 languages, and the newer pieces go further: PP-StructureV3 pulls layout and tables into Markdown or JSON, and PaddleOCR-VL is a vision-language model that parses whole documents including formulas and charts. Apache 2.0, free, and cleared for commercial use.

It runs on both CPU and GPU, so you don't strictly need a graphics card to get started, though a GPU helps at volume. Setup is a Python install plus the model weights; the v6 models are faster and more accurate than before, and there's even browser inference via PaddleOCR.js. It's more moving parts than a single-purpose engine, but the toolkit design means you pull in only the pieces you need.

For most teams replacing a paid OCR API, this is the first tool to try. It matches the core job (text, tables, layout) and, unlike some strong research models, its Apache license means you can actually ship it commercially. Solo to large teams: free, and production-grade. If Tesseract feels too bare and you want structure out of the box, this is the upgrade.

The catch is complexity. PaddleOCR is a big toolkit with a lot of models, versions, and configuration, and the documentation leans Chinese-first in places. Getting a clean pipeline running takes more reading than a one-line tool. The payoff is worth it, but budget the setup time.