Tesseract alone is widely known to be "meh" at this point.
If you look at RAG frameworks as one example they'll typically use/support a variety of implementations. Tesseract is almost always supported but it's rarely ideal with projects like Unstructured[0] and DocTR[1] being preferred. By leveraging more-or-less SOTA vision models[2][3] they embarrass Tesseract.
I haven't compared them to the Apple Vision framework but they're absolutely better than Tesseract and potentially even Apple Vision.
There are also various approaches to use these in conjunction but that gets involved.
If you look at RAG frameworks as one example they'll typically use/support a variety of implementations. Tesseract is almost always supported but it's rarely ideal with projects like Unstructured[0] and DocTR[1] being preferred. By leveraging more-or-less SOTA vision models[2][3] they embarrass Tesseract.
I haven't compared them to the Apple Vision framework but they're absolutely better than Tesseract and potentially even Apple Vision.
There are also various approaches to use these in conjunction but that gets involved.
[0] - https://github.com/Unstructured-IO/unstructured-inference
[1] - https://github.com/mindee/doctr
[2] - https://github.com/mindee/doctr#models-architectures
[3] - https://github.com/Unstructured-IO/unstructured-inference#mo...