Image Diff
Compare two images and see what changed
Compare two images side by side, with a slider, onion skin, blink or a difference heatmap. Set a tolerance, ignore anti-aliasing, see the changed pixel count and download the diff as PNG. Nothing is uploaded.
- Image
- Diff
- Compare
- Visual regression
How to use Image Diff
- Drop, paste or choose Image A and Image B. Pasting or dropping two files at once fills both.
- If the sizes differ, choose Align top-left (the canvas grows to fit both) or Scale B to A.
- Pick a view: Difference heatmap, Side by side, Slider, Onion skin (opacity) or Blink.
- Raise Tolerance to ignore tiny colour changes such as JPEG noise, and turn on Ignore anti-aliasing to skip soft edge pixels.
- Read the changed pixel count, percentage and bounding box, then Download diff PNG.
How it works
Both images are decoded by your browser with EXIF orientation applied, drawn onto a shared canvas and read as RGBA pixels. For every pixel the largest difference across the red, green, blue and alpha channels (0–255) is compared with your tolerance; anything above it is counted as changed.
With Ignore anti-aliasing on, a changed pixel is skipped when its brightness lies between a darker and a lighter neighbour (an edge blend) in both images. This is a simple heuristic, so it can miss or over-skip some pixels. When the browser supports OffscreenCanvas the diff runs in a Web Worker so the page stays responsive.
Limits
- Up to 50 MB and 100 megapixels per image, 16,384 pixels per side. Which formats open depends on your browser.
- Animated images are compared by their first frame.
- Top-left alignment fills the missing area with transparency, which counts as changed. Scaling stretches B to A’s size, ignoring aspect ratio.
- Colour is compared as stored in the canvas (sRGB), not perceptually. Differences in colour profile can show as small changes; use tolerance.
Privacy
Images are decoded and compared entirely in your browser. They are never uploaded or saved to browser storage. The diff PNG exists only in memory until you download it.
Frequently asked questions
Why do identical-looking images show differences?
Lossy formats such as JPEG add small noise, and re-encoding or colour profiles shift values slightly. Increase the tolerance (10 to 20 is typical) to hide them.
What does the heatmap show?
Red pixels changed beyond the tolerance, yellow pixels were skipped as anti-aliasing, and grey pixels are unchanged (a faded copy of A).
Which size option should I use?
Use top-left alignment when one image is a cropped or extended version of the other. Use scale B to A when the images show the same content at different resolutions.
Can I compare screenshots in a test suite with this?
It is meant for manual inspection. For automated visual regression use a library such as pixelmatch in your test runner.
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