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Face Blur

Image

Find the faces in a photo and blur, pixelate or cover them before you share it — on your device, never uploaded.

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Face Blur hides the faces in a photo before you share it — the children at the party, the people behind you on the street, the colleagues who never agreed to be online. Drop in a photo, or several, and the faces are found automatically by a small face-finding model that runs on your device: it finds where faces are, not who they belong to. Each one is blurred, pixelated or covered with a solid colour, inside an oval or a box, and you check the result before anything is saved: switch a face off to leave it visible, move or resize its box, or drag across anything the finder missed — a face turned away, half hidden or very small — to hide it too. Number plates, name badges and signs can be found as well: the text in the photo is read on your device and hidden in boxes. The copy keeps the photo's size and format, and the location, camera and date stored in the original are not in it. The photos never leave your device.

Why use Face Blur

100% private

Your image files are processed locally and never uploaded.

Instant

No upload or download wait — it runs at the speed of your device.

Free to start

Use it free every day; go Pro for unlimited runs.

No install

Works in any modern browser. No sign-up to begin.

How to use Face Blur

  1. 1
    Add your photos

    JPG, PNG or WebP, one or several. The faces are found on your device in a moment, and nothing is uploaded.

  2. 2
    Check every face

    Each face found is hidden and outlined. Click one to leave it visible, move or resize it; drag across anything the finder missed to hide it too.

  3. 3
    Download

    Choose blur, pixelate or a solid colour and how strong, then download the photo — or all of them as a zip — at its own size and format.

Frequently asked questions

Are my photos uploaded to find the faces?

No. The faces are found by a small model that runs in your browser, and the photo is blurred and saved on your device. What is downloaded is the face finder itself, from Alvseike, the first time — your browser keeps it.

Does it recognise who people are?

No. It finds where a face is in the picture — nothing more. There is no recognition, no list of people and nothing to compare against, and nothing about the faces is kept.

Will it find every face?

Most, not always all. It finds faces looking at the camera or turned partly away, down to small faces at the back of a group, but a face turned right away, mostly hidden or only a few pixels across can be missed. Every face found is outlined: look over the photo before you download, and drag across anything it missed to hide that too.

Can a blurred face be un-blurred?

Not from what is saved. At the default strength a face is shrunk to about seven pixels across before it is spread back out, and the saved photo holds only that — the detail is gone, not hidden. At the lighter settings someone who knows the person may still recognise them; for anyone who must not be recognised, use a strong setting or a solid colour.

Can I blur number plates, name badges or a screen?

Yes. Press Find text and number plates too, and the text in every photo is read on your device — plates, badges, signs, what is on a screen — and hidden in boxes, each labelled with what was read so a sign you want to keep can be left visible. The first time, the text reader is downloaded from Alvseike. Anything it does not read, drag across by hand.

Does it keep my photo's quality and size?

Yes. The photo is saved at its own size and in its own format — a JPG as a JPG, a PNG as a PNG — and only the hidden areas change. A photo larger than 16.7 megapixels is saved at that size, the most a browser holds on every device. The location, camera and date stored in the original are not in the copy.

How many photos can I do at once?

Several: add them together and download them as one zip, each checked in turn. The free plan does a few at a time; Pro has no limit. Downloading counts as one run, however many photos are in it.