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Reduce image noise online

Runs in your browser — this file is never uploaded

Calm down the speckled grain a low-light or high-ISO photo picks up. Add your images, choose a strength, and download the result.

This is a real spatial filter — a repeated median pass that looks at each pixel's neighbours and votes out the outliers noise tends to produce — not a learned model trained on millions of photos the way some phone cameras now do this. It is honest, useful work for an ordinary grainy photo, and it trades away some fine texture to get there, more noticeably at Strong.

Your images never leave your device. Noise reduction runs entirely in your browser, so nothing is uploaded, stored, or scanned, and a batch costs no more than a single file.

or drop them here — nothing is uploaded

How to image noise reduction

  1. Add your images

    Drop JPG, PNG, or WebP files into the box, or click to browse.

  2. Choose a strength

    Light keeps most fine detail. Strong removes more grain at the cost of visibly softening texture.

  3. Reduce and download

    Press Image Noise Reduction. One file downloads on its own; several arrive as a ZIP.

Frequently asked questions

Are my images uploaded anywhere?

No. Noise reduction runs in your browser using JavaScript, so your files stay on your device. You can confirm this by opening your browser devtools Network tab while working — there are no upload requests.

Is this as good as my phone or camera's built-in noise reduction?

Honestly, usually not — modern phone cameras often use a trained model or multiple stacked frames to separate noise from detail. This is a straightforward spatial filter applied after the fact to a single image, which is a real technique but a simpler one. It works well on an ordinary grainy photo; it will not match computational photography built into the camera itself.

Why does the photo look slightly soft afterward?

Because the filter can't perfectly tell noise apart from fine real detail — both look like small pixel-to-pixel variation. Reducing one inevitably softens some of the other, which is the fundamental trade-off of this kind of filter, not a bug in this implementation specifically.

What's the difference between this and Blur Image?

Blur softens everything uniformly by design. This specifically targets outlier pixels — the definition of noise — and tends to leave real edges more intact than a blur would at a similar strength, though neither is perfect.

Is there a limit on how many files?

Thirty at a time, which is a limit of your device rather than our policy — everything is held in memory while it works.

What about sharpening instead?

That is Sharpen Image, the tool for the opposite problem — a photo that looks slightly soft rather than grainy.