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The main one was https://github.com/JaidedAI/EasyOCR, mostly because, as promised, it was pretty easy to use, and uses pytorch (which I preferred in case I wanted to tweak it). It has been updated since, but at the time it was using CRNN, which is a solid model, especially for the time - it wasn't (academic) SOTA but not far behind that. I'm sure I could've coaxed better performance than I got out of it with some retraining and hyperparameter tuning.

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Interesting. I tried easyOCR, I found on handwriting it was about 35%, on typed it was 95.7%, so not bad at all with typed, but for handwriting pretty bad. I focused on Tesseract and TrOCR since it wasn't working out that well, still could easily have just been my particular use case.

I also tested paddleocr and keras ocr to round them all out.

At some point I really need to finish my project enough to write up some blog articles and post a bunch of code repos for others to use.

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