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Show HN: OCR Arena – A playground for OCR models

ocrarena.ai

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Re: Show HN: OCR Arena – A playground for OCR models

#61
post #43

Offtopic, but what's the best OCR that can run offline on browsers with js/wasm with reasonable CPU/memory cost? Working on a hobby project that interacts with user handwriting on . Tried some CNN models for digits but had trouble with characters.

Probably a wasm port of tesseract. E.g https://robertknight.github.io/tesseract-wasm/

Note that I haven't tried any of them, but tesseract is still likely the leading open source OCR that works with CPU.

Re: Show HN: OCR Arena – A playground for OCR models

#64

I've been really impressed with this model specifically because of how insanely cheap it is: https://replicate.com/ibm-granite/granite-vision-3.3-2b I didn't expect IBM to be making relevant AI models but this thing is priced at $1 per 4,000,000 output tokens... I'm using it to transcribe handwritten input text and it works very well and super fast.

IBM and Nvidia speech to text models are also SOTA (according to HF leaderboard) and relatively lightweight. Replicate hosts those too, although some (like Parakeet) run easily on consumer GPU.

Re: Show HN: OCR Arena – A playground for OCR models

#65
post #50

What is needed to evaluate OCR for most business applications (above everything else) is accuracy. Some results look plausible but are just plain wrong. That is worse than useless. Example: the "Table" sample document contains chemical substances and their properties. How many numbers did the LLM output and associate correctly? That is all that matters. There is no "preference" aspect that is relevant until the data…

This is why arenas are generally a bad idea for assessing correctness in visual tasks.
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