EasyOCR VS grapik-quran

PyTesseract Module [ Github ] EasyOCR Module [ Github ] PaddlePaddle OCR [ Github ]

I just uploaded my C++ implementation of EasyOCR, a well known ocr library for python. Also dusted some cobwebbs from some audio related projects as well, feel free to leave feedback or contribute! I only implemented the most salient parts, so certainly could use some community help! Cheers!

EasyOCR is a popular project if you are in an environment where you can use run Python and PyTorch (https://github.com/JaidedAI/EasyOCR). Other open source projects of note are PaddleOCR (https://github.com/PaddlePaddle/PaddleOCR) and docTR (https://github.com/mindee/doctr).

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.

Anyways, you can give a shot to EasyOCR, pretty solid and flexible

The easyocr library: https://github.com/JaidedAI/EasyOCR

Not used it on a Pi but maybe a Docker version (if there is one) would run? Compose file here

Along the way, I got some ideas in my head to solve that. Most of them were not possible for me at the moment, as it turned out that I need to learn some machine learning techniques which I would be stupid to learn myself. I know best, if I try hard to learn it, I will make up my own opportunities! But since I am doing this to provide only a proof-of-concept of my digital Quran application, Grapik Quran, I am not willing to take too much effort into it yet. Not to mention that I just started learning GTK+; there is a lot to learn, so I have to manage my time as best I can.