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>
Note: jscanify on NodeJS is slightly different. See wiki: use on NodeJS.
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 () {
const resultCanvas = scanner.extractPaper(image, paperWidth, paperHeight);
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
- for optimal paper detection, the paper should be placed on a flat surface with a solid background color
- we recommend wrapping your code using
jscanify
in a windowload
event listener to ensure OpenCV is loaded