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I think his comment is referring to a scenario where a decision is made on financial numbers that are misrecognized. E.g. 9.0% actual is OCR’d as 90%
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I don't think so

But anyways just a side note one way to help reduce these errors is if you pass in both the original image and the OCR'd text to the models that make the decisions




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