jscanify: A JavaScript repository from kelenam

Open-source pure Javascript implemented mobile document scanner. Powered with opencv.js

Available on npm or via cdn

Features:

paper detection & highlighting
paper scanning with distortion correction

Image Highlighting	Scanned Result

Quickstart

Import

npm:

$ npm i jscanify
import jscanify from 'jscanify'

cdn:

<script src="https://docs.opencv.org/4.7.0/opencv.js" async></script>
<!-- warning: loading OpenCV can take some time. Load asynchronously -->
<script src="https://cdn.jsdelivr.net/gh/ColonelParrot/jscanify@master/src/jscanify.min.js"></script>

Highlight Paper in Image

<img src="/path/to/your/image.png" id="image" />

const scanner = new jscanify();
image.onload = function () {
  const highlightedCanvas = scanner.highlightPaper(image);
  document.body.appendChild(highlightedCanvas);
};

Extract Paper

const scanner = new jscanify();
const paperWidth = 500;
const paperHeight = 1000;
image.onload = function () {
  scanner.extractPaper(image, paperWidth, paperHeight, (resultCanvas) => {
    document.body.appendChild(resultCanvas);
  });
};

Highlighting Paper in User Camera

The following code continuously reads from the user's camera and highlights the paper:

<video id="video"></video>
<canvas id="canvas"></canvas>  <!-- original video -->
<canvas id="result"></canvas>  <!-- highlighted video -->

const scanner = new jscanify();
const canvasCtx = canvas.getContext("2d");
const resultCtx = result.getContext("2d");
navigator.mediaDevices.getUserMedia({ video: true }).then((stream) => {
  video.srcObject = stream;
  video.onloadedmetadata = () => {
    video.play();

    setInterval(() => {
      canvasCtx.drawImage(video, 0, 0);
      const resultCanvas = scanner.highlightPaper(canvas);
      resultCtx.drawImage(resultCanvas, 0, 0);
    }, 10);
  };
});

To export the paper to a PDF, see here

Notes