npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

jscanify

v1.2.0

Published

Open-source Javascript mobile document scanner.

Downloads

600

Readme

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 window load event listener to ensure OpenCV is loaded