A small, simple and fast JavaScript pixel-level image comparison library, originally created to compare screenshots in tests.
Features accurate anti-aliased pixels detection and perceptual color difference metrics. Inspired by Resemble.js and Blink-diff. Unlike these libraries, pixelmatch is just a few hundred lines of code, has no dependencies, and works on raw typed arrays of image data, so it's very fast and can be used in both Node and browsers.
const numDiffPixels = pixelmatch(img1, img2, diff, 800, 600, {threshold: 0.1});Implements ideas from the following papers:
- A perceptual color space for image processing (2020, Björn Ottosson) — the OKLab color space used for color difference.
- Distance metrics for very large color differences (2019, Saeideh Abasi et al.) — the OKLab HyAB metric used to compare colors.
- Anti-aliased pixel and intensity slope detector (2009, Vytautas Vyšniauskas)
| expected | actual | diff |
|---|---|---|
img1,img2— Image data of the images to compare (Buffer,Uint8ArrayorUint8ClampedArray). Note: image dimensions must be equal.output— Image data to write the diff to, ornullif don't need a diff image.width,height— Width and height of the images. Note that all three images need to have the same dimensions.
options is an object literal with the following properties:
threshold— Matching threshold, ranges from0to1. Smaller values make the comparison more sensitive.0.1by default.includeAA— Iftrue, disables detecting and ignoring anti-aliased pixels.falseby default.alpha— Blending factor of unchanged pixels in the diff output. Ranges from0for pure white to1for original brightness.0.1by default.aaColor— The color of anti-aliased pixels in the diff output in[R, G, B]format.[255, 255, 0]by default.diffColor— The color of differing pixels in the diff output in[R, G, B]format.[255, 0, 0]by default.diffColorAlt— An alternative color to use for dark on light differences to differentiate between "added" and "removed" parts. If not provided, all differing pixels use the color specified bydiffColor.nullby default.diffMask— Draw the diff over a transparent background (a mask), rather than over the original image. Will not draw anti-aliased pixels (if detected).checkerboard— Blend semi-transparent pixels against a checkerboard pattern when comparing (true) rather than plain white (false), avoiding false matches between colors that only look alike over one background.trueby default.windowSize— If set to a finite numberN, return the maximum number of differing pixels in anyN×Nsliding window instead of the total count (see below).Infinityby default.
Compares two images, writes the output diff and returns the number of mismatched pixels.
Normally the return value is the total number of differing pixels. With windowSize: N you get the
highest number of diff pixels in any N×N square instead. Anti-aliased pixels are only included
if includeAA is true.
This helps with noise. GPU dithering and sub-pixel anti-aliasing scatter stray pixels all over the image, so they never fill up one small square, while a real regression usually changes a compact area.
Compare the result against a pixel count: that number is how big a difference you let through, and
N is how closely packed it has to be.
if (pixelmatch(img1, img2, null, width, height, {windowSize: 16}) > 28) throw new Error('changed');N never exceeds either image dimension, so on a 10×2 image windowSize: 32 gives you a 2×2
window. The default Infinity makes the window the whole image, which is the total count.
Pixelmatch comes with a binary that works with PNG images:
pixelmatch image1.png image2.png output.png 0.1import fs from 'fs';
import {PNG} from 'pngjs';
import pixelmatch from 'pixelmatch';
const img1 = PNG.sync.read(fs.readFileSync('img1.png'));
const img2 = PNG.sync.read(fs.readFileSync('img2.png'));
const {width, height} = img1;
const diff = new PNG({width, height});
pixelmatch(img1.data, img2.data, diff.data, width, height, {threshold: 0.1});
fs.writeFileSync('diff.png', PNG.sync.write(diff));const img1 = img1Context.getImageData(0, 0, width, height);
const img2 = img2Context.getImageData(0, 0, width, height);
const diff = diffContext.createImageData(width, height);
pixelmatch(img1.data, img2.data, diff.data, width, height, {threshold: 0.1});
diffContext.putImageData(diff, 0, 0);Install with NPM:
npm install pixelmatchOr use in the browser from a CDN:
<script type="module">
import pixelmatch from 'https://esm.run/pixelmatch';