alt Hacker News> in 2010 - home desktop-grade OCRs could easily beat an average grandma
I’ve heard Tesseract OCR recommended, but even in 2026, no matter how I scan receipts or documents, the OCR output seems far worse than human reading?
Replies
Xirdus • yesterday at 6:06 PM
Well, I used specialized software specifically for solving CAPTCHA on select few file sharing websites. My later experience with general purpose OCR software was just as awful as yours. But it's a product problem, not technology problem - you really don't need an advanced AI for it, you just need a good implementation of traditional shape-matching OCR that doesn't seem to exist anywhere for some reason.
I think the difficulty was specifically with CAPTCHA challenges, which had to be quick to generate but still legible - OCR on physical documents has to be robust to a different set of problems
That said, what kind of errors are you getting? I think the main practical difference between Tesseract's LSTM-based OCR and newer VLM-based OCR like PaddleOCR [1] is (hopefully) getting to skip making heuristics for the layout of the document, but errors possibly compounding over multiple tokens - are you getting individual illegible words or having the documents smooshed together because the OCR can't parse the layout?
[1] https://github.com/PaddlePaddle/PaddleOCR