Source: https://restorebunny.com/guides/compare-exports-with-a-pixel-report/

# Compare Two Image Exports with a Pixel Report

Use an adjustable threshold and heatmap to locate changed pixels while separating byte differences from visible image changes.

Image delivery2 min readUpdated 18 October 2026

## Try it on your own photo

Repair a copy of your photo, then compare faces and details with the original.

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Quick answer

## The short version

A pixel report compares decoded image samples. It can locate changed areas when two files have the same dimensions and alignment. It cannot decide whether a change is good, authentic or caused by AI. Compression, transparency and color handling can all produce differences that need interpretation.

## A practical workflow

Use matching dimensions and check alignment first. Start with a low threshold, then increase it to distinguish small encoding noise from stronger changes. Inspect the heatmap beside the originals rather than treating a percentage as a quality score. Record the threshold and dimensions with the report. If the images were moved or cropped, align them in another workflow before drawing conclusions from pixel-by-pixel results.

## Worked planning example

Planning example: Two 1000 × 1000 exports differ in 20,000 pixels above the chosen threshold, giving 2% changed pixels. The heatmap shows those pixels around text edges. The reviewer inspects whether the label remains readable; the 2% number alone does not answer that question.

## Check before you finish

1. Use equal dimensions and aligned content.
2. Record the chosen channel threshold.
3. Inspect the heatmap with both originals.
4. Interpret the location and meaning of changes.

## Choose the next step for your task

For damage in a photo copy, RestoreBunny offers AI restoration. Keep the original and inspect faces, text and surrounding details before accepting a result. Use a free comparison or calculation when no generation is needed. AI may reconstruct rather than recover missing detail.

## FAQs

What should I check before finishing this task?

Use equal dimensions and aligned content. Record the chosen channel threshold. Inspect the heatmap with both originals. Interpret the location and meaning of changes.

Are these examples documented customer results?

No. They are hypothetical planning examples and editorial decision frameworks. They do not establish a sales increase, a successful restoration or a printer’s approval.

## Sources

Sources for technical facts and documented capabilities. Worked scenarios are hypothetical planning examples.

- MDN Web Docs: [Pixel manipulation with Canvas](<https://developer.mozilla.org/en-US/docs/Web/API/Canvas_API/Tutorial/Pixel_manipulation_with_canvas>)

## Related

- [Open the related free tool](<https://restorebunny.com/tools/image-difference-checker/>)
- [Explore Photo restoration](<https://restorebunny.com/features/photo-restoration/>)
- [Write Captions for an Offline Photo Slideshow](<https://restorebunny.com/guides/write-captions-for-an-offline-slideshow/>)
- [Align Images Before Interpreting Pixel Differences](<https://restorebunny.com/guides/alignment-before-image-difference/>)

## Ready to restore your photos?

Upload an image, choose your settings, and preview results with a before/after slider.

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