Drop two images and compare them instantly with slider, overlay, side-by-side, blink, pixel diff or heatmap views. Tune the threshold, inspect changed-pixel metrics and export the result without uploading either image.
Drop a before and after image. Sweep with a slider, overlay them, blink between versions, or inspect a pixel diff / heatmap with exact change statistics.
For pixel-meaningful regression checks, use images with identical dimensions. Scaling B changes pixels and makes the comparison visual rather than exact.
Reuse the two image files selected above to locate changes visually, then keep the existing pixel-difference metrics as the quantitative check.
Turn pixel-difference results into a configurable visual-regression QA gate with changed-pixel and mean-difference thresholds and a copyable report.
Use a flagship page for the highest-demand resize, compression, crop and conversion jobs; specialist image tools remain available from the full hub.
Use exact dimensions for meaningful pixel comparison or explicitly normalize B to A when you only need a visual regression-style comparison.
Your selected images are processed in the browser by this tool unless the page explicitly says otherwise.
Use the interactive product above first. These notes add interpretation, verification and limits below the results and product controls.
Overlay and split views are fastest for finding where a change occurred, while changed-pixel percentage and mean channel difference quantify how much changed. Use both rather than relying on one colorful diff image.
Scaling one image to the other can help with visual inspection but it also introduces resampling differences. For exact regression testing, prefer matching dimensions; use scaled comparison only when the analytical question is about composition rather than identical pixels.
In overlay mode, moving opacity through the middle range makes shifted edges, spacing changes and misaligned text easy to spot. If the whole image seems to shimmer, check dimensions and registration before treating every pixel as a content change.
A larger difference threshold can ignore JPEG noise, antialiasing and tiny color drift, but it can also hide subtle UI regressions. Calibrate the threshold with known-good and known-bad examples instead of choosing one value for every workflow.
A saved overlay or split PNG is useful for review tickets and reports, but preserve the two original files and the numeric diff result. The visualization itself may include scaling or opacity choices that should not replace the underlying evidence.
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