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Is there a SOTA OCR model that prioritises failing in a debuggable way? What I want is an output that records which sections of the image have contributed to e

Is there a SOTA OCR model that prioritises failing in a debuggable way? What I want is an output that records which sections of the image have contributed to each word/letter, preferably with per word confidence levels and user correctable identification information. I should be able to build a UI to say: no, this section is red-on-green vertically aligned Cyrillic characters; try again.

chelm 6mo ago
The relevant term is "bounding box", as you probably need the confidence level of a character or word, not just the image. I built such an interface. I think the effort is only worth it if you really have multi-millions of pages. Niels lately posted a lot about other OCR engines: https://www.linkedin.com/posts/niels-rogge-a3b7a3127_lots-of-new-ocr-and-document-ai-models-have-activity-7341795594518077440-nhll?utm_source=share&utm_medium=member_desktop&rcm=ACoAABXlnZgBE5TG8neoupbDGHVILzv7X8_wRYw https://www.linkedin.com/posts/niels-rogge-a3b7a3127_lots-of...