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To compare website screenshots in Node.js, decode both PNG files into raw pixel data, make sure they have identical dimensions, and pass their pixel buffers to Pixelmatch. Its return value is the number of mismatched pixels; set your own tolerance to decide whether that count should fail a test. You can also save Pixelmatch’s output as a diff image to inspect the changes.

Install Pixelmatch and pngjs

Pixelmatch compares image data; pngjs handles reading and writing PNG files in this example. Install both packages in your project:

npm install pixelmatch pngjs

The code below uses ES module imports. Save it as compare.js in a project configured for ES modules, or use a .mjs file extension.

Compare two screenshots and write a diff image

Save the baseline and new capture as baseline.png and actual.png in the project directory, then run the script. The example checks dimensions before comparison, writes diff.png, and prints Pixelmatch’s mismatch count.

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import fs from 'node:fs';
import pixelmatch from 'pixelmatch';
import { PNG } from 'pngjs';

const baseline = PNG.sync.read(fs.readFileSync('baseline.png'));
const actual = PNG.sync.read(fs.readFileSync('actual.png'));

if (baseline.width !== actual.width || baseline.height !== actual.height) {
  throw new Error('Screenshots must have equal dimensions');
}

const diff = new PNG({ width: baseline.width, height: baseline.height });
const mismatchedPixels = pixelmatch(
  baseline.data,
  actual.data,
  diff.data,
  baseline.width,
  baseline.height,
  { threshold: 0.1 }
);

fs.writeFileSync('diff.png', PNG.sync.write(diff));
console.log(`Mismatched pixels: ${mismatchedPixels}`);

Pixelmatch accepts image data as a Buffer, Uint8Array or Uint8ClampedArray. Both inputs and an output image, when supplied, must have matching dimensions. The output argument can be null if you only need a mismatch count and do not need a visual diff. See the Pixelmatch README for its API and documented example.

Use the count as a test result

The returned number is a count, not an automatic pass/fail decision. Choose an allowed mismatch count for your application and compare the result with that limit. For example, a strict test might require zero mismatches, while a project that tolerates small rendering variations can set a larger, explicitly chosen limit.

const allowedMismatches = 25;
if (mismatchedPixels > allowedMismatches) {
  throw new Error(`Visual difference too large: ${mismatchedPixels} mismatched pixels`);
}

The value 25 is an example policy, not a Pixelmatch recommendation. A raw count also depends on screenshot dimensions, so determine the limit from your test’s purpose rather than treating one number as universal.

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Choose comparison settings

Pixelmatch options let you tune sensitivity, anti-aliasing treatment, and how the diff is rendered. The current project README documents windowSize; check the documentation for your installed version before relying on that option, since the package README snapshot for 7.2.0 does not establish its availability in every release.

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Option Effect When to change it
threshold Ranges from 0 to 1; lower values make the comparison more sensitive. The documented default is 0.1. Lower it when subtle color differences matter; raise it cautiously if minor pixel-level variation creates unwanted mismatches.
includeAA Defaults to false, so detected anti-aliased pixels are ignored. Set to true to count them as differences. Enable it when edge-rendering differences should count in your test.
alpha Controls blending of unchanged pixels in the diff output. Adjust the display if you need unchanged areas to be more or less visible.
aaColor, diffColor, diffColorAlt Set colors used to show anti-aliased pixels and differences. Use these to make categories of changes easier to distinguish in the output image.
diffMask Renders the diff over transparency rather than over the original image. Choose it when you want a transparent mismatch mask for downstream inspection or compositing.
windowSize With the default Infinity, reports mismatches across the full image. A finite size reports the maximum mismatch count in any sliding square of that size. Use a finite window to focus on the most concentrated local difference, if supported by your installed release.

For example, include anti-aliased edge changes while using the documented default sensitivity:

const mismatchedPixels = pixelmatch(
  baseline.data,
  actual.data,
  diff.data,
  baseline.width,
  baseline.height,
  { threshold: 0.1, includeAA: true }
);

Keep screenshot comparisons meaningful

A comparison is most useful when the baseline and new screenshot represent the same page state and rendering conditions. Keep the capture setup consistent—for example, use the same viewport, page state, and timing—so that the diff is more likely to reflect a website change rather than a changed capture condition. This is practical testing guidance, not a Pixelmatch guarantee.

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  • Review diff.png when a count crosses your limit; the count alone does not explain where the pixels changed.

Quick manual comparison with the CLI

For a one-off comparison of PNG files, Pixelmatch also documents a command-line interface:

pixelmatch image1.png image2.png output.png 0.1

Use the library API in a Node.js test when you need to inspect the returned count, apply a project-specific pass/fail rule, or integrate comparison into a capture pipeline. The CLI is a direct option for a manual diff.

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Troubleshooting

Dimension mismatch error

Pixelmatch requires both images—and the output image, if used—to have the same width and height. Check the decoded dimensions before calling it. If screenshots differ in size, fix the capture settings or deliberately resize/crop them with an image-processing step before comparison; do not pass mismatched buffers and assume the result is meaningful.

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The diff reports too many changes

First inspect diff.png and confirm the screenshots show the same page state at the same viewport. If the only changes are anti-aliased edges, leave the default includeAA: false; setting it to true makes those detected pixels count. Adjust threshold only to reflect the sensitivity your test needs.

No diff image is needed

Pass null as Pixelmatch’s output argument and keep the returned mismatch count. This avoids creating an image buffer for inspection when the test only needs a numeric result.

The script cannot import Pixelmatch

Confirm that both dependencies are installed in the project and that Node.js is treating the script as an ES module. Use a .mjs filename or configure the project for ES modules, as assumed by the example imports.

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windowSize is unrecognized or behaves differently

The current main-branch README documents this option, but its availability should not be assumed for every older package version. Check the README or API documentation corresponding to the version installed in your project.

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Or skip the browser setup

If you need to obtain screenshots before comparing them locally, ScreenshotNeo can return a PNG, JPEG, WebP or PDF from one GET request. Its cookie/consent cleanup removes known consent banners, newsletter popups and chat widgets before capture, and each of those steps can be turned off. Bot checks and CAPTCHAs, blank pages, timeouts, failed loads and cache hits are not billed; response headers report the page verdict and billing status. Its MCP server also gives AI agents tools to take screenshots, get page information and capture PDFs.

For example, this cURL request saves a screenshot. See the ScreenshotNeo API documentation for configuration and response details:

curl -G "https://api.screenshotneo.com/v1/shot" -d access_key=YOUR_API_KEY --data-urlencode url=https://stripe.com -o shot.webp

For local Node.js capture code, the same API can be called with fetch:

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const q = new URLSearchParams({ access_key: 'YOUR_API_KEY', url: 'https://stripe.com' });
const res = await fetch(`https://api.screenshotneo.com/v1/shot?${q}`);

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Frequently Asked Questions

Can Pixelmatch compare JPEG or WebP files directly?

The documented Node.js workflow here uses pngjs to decode PNG files; convert other formats to PNG or decode them to compatible raw pixel data before calling Pixelmatch.

Does a nonzero mismatch count always mean a visual test should fail?

No. Pixelmatch returns a count, and your test must define the acceptable tolerance for its purpose.

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