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

19 pointsposted 19 days ago

18 Comments

KetoManx64

18 days ago

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.

mrkn1

18 days ago

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

KetoManx64

18 days ago

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

abstract257

19 days ago

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...

krunck

19 days ago

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

abstract257

18 days ago

Thanks

vivzkestrel

19 days ago

- how well do you think this ll work with code? i mean take code screenshots and convert it into actual code for vscode

mrkn1

19 days ago

Just ran

  textsnap "https://i.ytimg.com/vi/LBNDfxjEYlA/maxresdefault.jpg"

and got this

  $('.count').each(function () {
  $('this').prop('Counter', 0).animate({
    Counter: $('this').text()
  }, {
      duration: 4000,
      easing: 'swing',
      step: 'function (now) {
          $('this").text(Math.ceil(now));
      }
    }); 
  });