Comment by eru

> For the 4% inaccuracies a lot of them are things like the text "LLC" handwritten would get OCR'd as "IIC" which I would say is somewhat "fair".

I'm actually somewhat surprised Gemini didn't guess from context that LLC is much more likely?

I guess the OCR subsystem is intentionally conservative? (Though I'm sure you could do a second step on your end, take the output from the conservative OCR pass, and sent it through Gemini and ask it to flag potential OCR problems? I bet that would flag most of them with very few false positives and false negatives.)