User:Alexander Roidl/WebOCR

Web OCR

Libraries

I tried the OCRAD JS

http://antimatter15.com/ocrad.js/demo.html

and the tesseract JS

Tesseract.js

Tesseract JS

Insert the library

<script src="https://cdn.rawgit.com/naptha/tesseract.js/0.2.0/dist/tesseract.js"></script>

main function

<script>
function runOCR(url) {
    Tesseract.recognize(url)
         .then(function(result) {
            document.getElementById("ocr_results")
                    .innerText = result.text;
         }).progress(function(result) {
            document.getElementById("ocr_status")
                    .innerText = result["status"] + " (" +
                        (result["progress"] * 100) + "%)";
        });
}

document.getElementById("go_button")
        .addEventListener("click", function(e) {
            var url = document.getElementById("url").value;
            runOCR(url);
        });

</script>

OCRAD JS

include js

<script src="libraries/ocrad.js" type="text/javascript"></script>

get the osc result from a video-stream

function acquiredVideo(stream) {
  var video = document.getElementById('video')
  if ('mozSrcObject' in video) {
    video.mozSrcObject = stream;
  } else if (window.webkitURL) {
    video.src = window.webkitURL.createObjectURL(stream);
  } else {
    video.src = stream;
  }
  video.play();
}

function recognize_snapshot() {
  document.getElementById('text').innerText = "(Recognizing...)"
  document.getElementById('transcription').className = "recognizing"
  OCRAD(document.getElementById("video"), {
    invert: false // set this for white on black text
  }, function(text) {
    document.getElementById('transcription').className = "done"
    document.getElementById('text').innerText = text || "(empty)";


    findPerson(text);




  })
}