How we made our OCR code more accurate
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How we made our OCR code more accurate
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Re: How we made our OCR code more accurate
#2[deleted]
Re: How we made our OCR code more accurate
#3Neat article, but I feel like I have no idea why they're doing this! Is transcribing code from images really such a big use case?
Re: How we made our OCR code more accurate
#4Neat article, but I feel like I have no idea why they're doing this! Is transcribing code from images really such a big use case?
Maybe they want to compile the Apollo Guidance Computer source code...
https://www.softwareheritage.org/wp-content/uploads/2019/07/...
Re: How we made our OCR code more accurate
#5Neat article, but I feel like I have no idea why they're doing this! Is transcribing code from images really such a big use case?
> To best support software engineers when they want to transcribe code from images, we fine-tuned our pre-processing pipeline to screenshots of code in IDEs, terminals, and online resources like YouTube videos and blog posts.
Even with these examples that seems like a very narrow use case.
Re: How we made our OCR code more accurate
#6Anything that mentions tesseract is about 10 years out of date at this point.
Re: How we made our OCR code more accurate
#7Neat article, but I feel like I have no idea why they're doing this! Is transcribing code from images really such a big use case?
From an accessibility standpoint, yes. To be able to pattern match where you are in I.D.E without using an accessibility api
Re: How we made our OCR code more accurate
#8Anything that mentions tesseract is about 10 years out of date at this point.
Well, at least I can apt-get install tesseract.
That doesn't hold for any of the GPU-based solutions, last time I checked.
Re: How we made our OCR code more accurate
#9Anything that mentions tesseract is about 10 years out of date at this point.
5.5.0 released November last year. Still a very active project as far as I can tell and runs on CPU. Even compared to best open source GPU option it is still pretty good. VLMs work very differently and don't work as well for everything. Why is it out of date?
Re: How we made our OCR code more accurate
#10I can't say I've ever wanted to transcribe code from an image. That seems super niche.
Perhaps the specific idea is to harvest coding textbooks as training data for LLMs?