noupload.tools

Compare two images

Two pictures next to each other, a map of what changed, or a number.

Your file

Drop a file here, or click to choose

It stays on this device. Nothing is sent anywhere.

    The first file is the reference, this one is what it gets measured against.

    Settings

    What each mode is for

    Same size helps

    Images are scaled to a shared canvas, so different sizes still compare, but a difference map is only precise when both start at the same dimensions. Resize one to match the other first if you need exact results.

    Reading the numbers

    The metrics mode returns two figures, and they measure different things.

    PSNR is peak signal-to-noise ratio, in decibels, and it is essentially a measure of raw pixel error. Above about 40 dB the two images are visually identical for practical purposes. Between 30 and 40 dB a difference exists and most people will not spot it without flipping between them. Below 30 dB it is visible. The scale is logarithmic, so a few decibels matter more than they look like they should, and infinity means the files are pixel-for-pixel identical.

    SSIM is structural similarity, scored from 0 to 1, and it tries to model what a person would actually notice rather than counting errors. It weights structure and contrast over absolute pixel values. Above 0.98 is generally indistinguishable; below 0.95 something is visibly going on. SSIM is the better guide of the two when you are judging compression, because it does not punish an encoder for changes the eye ignores.

    The amplify control

    Raw differences between two versions of the same image are almost entirely black, because the changes are a handful of levels out of 256. The amplify setting multiplies the brightness of the difference so those small numbers become visible. At 4 you can see compression artefacts clustering around edges. At 10 and above you will see noise the encoder introduced in areas that look perfectly smooth in both originals. Neither is a fault in the tool; you are looking at real differences the eye normally has no chance of resolving.

    What this is actually good for

    For the same job on video, compare videos works frame by frame.

    Common questions

    The difference is completely black.

    The two images are identical as far as the pixels are concerned.

    Can it tell me if a photo was edited?

    It can show you where two versions differ. It cannot analyze a single image on its own for signs of editing.

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