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Show HN: Local-first fast CPU image to text for screenshots, PDFs, webpages

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Re: Show HN: Local-first fast CPU image to text for screenshots, PDFs, webpages

#15

What's the performance like compared to tesseract? I don't see tesseract mentioned anywhere in the readme, which is surprising considering that's the number one tool most go to for Image > text OCR.

No rigorous eval, and I love Tesseract. Here's the example that motivated me to build textsnap (which is in the github's README), parsed with Tesseract:

https://imgur.com/a/i2eQra8

Re: Show HN: Local-first fast CPU image to text for screenshots, PDFs, webpages

#16
post #15

What's the performance like compared to tesseract? I don't see tesseract mentioned anywhere in the readme, which is surprising considering that's the number one tool most go to for Image > text OCR.

No rigorous eval, and I love Tesseract. Here's the example that motivated me to build textsnap (which is in the github's README), parsed with Tesseract: https://imgur.com/a/i2eQra8

Very noticable difference and the exact issue I run repeatedly with tesseract! Definitely going to try dropping textsnap into my scripts now. Thanks!!

Re: Show HN: Local-first fast CPU image to text for screenshots, PDFs, webpages

#18
post #6

Curious how it does on multi-page scanned PDFs vs. single screenshots? The ORT vision/decoder split is the part that usually makes or breaks CPU VLM OCR...

I had to extract the image from a PDF for it to work. Then run it on each page image extracted.

Thanks
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