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I don't know that that is true: https://researchify.io/blog/comparing-pytesseract-paddleocr-...

Using Surya gets you significantly better results and makes almost all the work detailed in the article largely unnecessary.

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Surya weights for the models are licensed cc-by-nc-sa-4.0 so not free for commercial usage. Also, as far as I know, the training data is 100% unavailable. Given they use well trained, but standard models, it isn't really open source and barely, maybe, open weight. I kinda hate how their repo says gpl cause that is only true for the inference code. The training code is closed source.

I did not know that the training code is closed source. That is troubling.

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