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▲Show HN: Local-first fast CPU image to text for screenshots, PDFs, webpages (github.com)

11 points by mrkn1 9 hours ago | 12 comments

vivzkestrel 5 hours 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 5 hours 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));
      }
    }); 
  });

abstract257 7 hours 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 6 hours ago [-]

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

monosma 4 hours ago [-]

What was the reason for adopting PaddleOCR? Can other OCR models be used as well?

mrkn1 4 hours ago [-]

No reason other than their Q4 model working reasonably well and fast on my CPU laptop. Should work with any ONNX VLM model

kouru225 4 hours ago [-]

Roman alphabet only or does this work with other alphabets?

mrkn1 4 hours ago [-]

109 languages, including other alphabets.

garrett2558 8 hours ago [-]

Very cool, I'm building my own local-first product as well

mrkn1 7 hours ago [-]

thank you! what is it about?

BIGFOOT_EXISTS 6 hours ago [-]

Now this is legit cool, keep up the great work.

mrkn1 5 hours ago [-]

thank you!

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