I'm not really sure if that's an accurate summary of the state of the art, [0] is a better overview. In short, SOTA multi-modal LLMs are the best option for handwriting, nearly anything is good at printed text, for printed media, specialty models from hyperscalers are slightly better than multi-modal LLMs.
I'm not really sure if that's an accurate summary of the state of the art, [0] is a better overview. In short, SOTA multi-modal LLMs are the best option for handwriting, nearly anything is good at printed text, for printed media, specialty models from hyperscalers are slightly better than multi-modal LLMs.
[0] https://research.aimultiple.com/ocr-accuracy/
I see it confirms what I wrote state of art is “not using tessaract anymore” and I think bunch of commercial solutions are stuck with tessaract.
I assume Tesseract has the advantage of being able to give a confidence score?
Since “commercial OCR software” includes VLM-based commercial offerings, that's clearly not correct.
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