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New account created ~5 hours after this post, with a single comment specifically praising the model / product. I want to believe, but this sort of astroturfing isn't very encouraging.
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Yup run task mode runs a much smaller part of the model when can drop quality of scans. The issue with run task we have to figure out is how much of the model is needed just for OCR and how to activate the right parts. A lot more improvements coming here with the same cost reduction.

I'd be happy to test it against your sample and see how we can get good results at a lower per page cost. Feel free to email me yoeven@interfaze.ai

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Have you tried this task using an actual OCR model like Google Cloud Vision AI? I am not sure if this is what Gemini uses under the hood but multi-modal LLMs are not designed to extract text like this so it should be no surprise it's not good at it?
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Google Cloud Vision AI is a specialized model built on CNNs frameworks which is part of the Interfaze architecture which is an hybrid so you get best of both worlds. Google cloud vision was pretty far behind other specalized models like PaddleOCR etc anyways so if you're looking for a pure CNN, check them out.

You can find the explanation and the comparison in the article, which we benchmarked pure CNN models, pure LLM models and a hybrid architecture like ours.

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