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Similarly I've found old-school OCR is needed for more reliability.

Combining google's ocr with llm gives OCR superpowers. Tell the llm the text is from an ocr and ask it to correct it.

That sounds like it could be very dangerous when the LLM gets it wrong...

Depends what you're using it for. If you're relying on OCR, you've already got to accept some amount of error.

I've been using this to OCR some photos I took of books and it's remarkable at it. My first pass was just a loop where I'd OCR, feed the text to the model and ask it to normalize into a schema but I found out just sending the image to the model and asking it to OCR and turn it into the shape of data I wanted was so much more accurate.

Is this simply the OCR bits to feed to openai structured output?

tried it works great, ty!