Free Photo Anonymizer (Face Blur)

Yes, it is completely free with no signup, no account, and no usage limits. Because the face detector runs on your own device through Google MediaPipe instead of a paid cloud service, there are no per-image costs to pass on. You can anonymize as many photos as you want, as often as you want, without a credit card, an API key, or a rate limit.

No. The entire process, detecting faces and blurring them, happens locally in your browser using MediaPipe, WebAssembly, and WebGL. After the model is downloaded once, your photo is processed on your own device with zero network requests carrying it. Nothing is uploaded, logged, or stored, which makes this safe for personal photos, screenshots, and confidential work. You can confirm this by opening the Network tab in your browser DevTools while you anonymize an image.

A detector only draws boxes around faces to show you where they are, which does nothing to protect anyone. This tool is a privacy redaction tool: it detects each face and then actually blurs or pixelates that region of the image so the person can no longer be identified, and it lets you download the anonymized result. The goal is not to display detections but to hide faces before you share the photo.

Blur applies a smooth Gaussian softening over each face so features fade away gradually, which tends to look more natural in a photo. Pixelate replaces each face with a coarse mosaic of large blocks, which reads as a deliberate, obvious redaction and is common in news and documentary images. Both hide identity: choose blur when you want a subtle result and pixelate when you want it clear that the face was intentionally masked. You can switch between them at any time.

Yes. The MediaPipe FaceDetector finds every face it can in the image, and the tool redacts all of them in a single pass. It also shows you a count of how many faces were found so you can check the number against what you see in the photo. If a face is missed because it is turned away, very small, or in shadow, review the result before sharing and re-shoot or manually redact if needed.

It is a practical way to reduce personal data in an image before you publish it, which supports privacy-by-design and GDPR expectations around not exposing identifiable people without a lawful basis. Blurring faces removes one of the most obvious identifiers. It complements manual redaction rather than replacing it: you should still check for other identifying details such as name tags, license plates, and reflections, and apply a strong setting for anything sensitive. This tool is not legal advice, but it makes privacy-friendly sharing far easier.

It uses Google MediaPipe with the BlazeFace short-range model, a fast, lightweight face detector designed by Google to run in real time on everyday devices. MediaPipe loads the model through WebAssembly and accelerates it with WebGL, so detection happens entirely in your browser. Both MediaPipe and the model are open source under the Apache 2.0 license.

No installation is needed. It is a pure web tool that runs in any modern browser. The only thing that downloads is the MediaPipe FaceDetector model itself, which is fetched on first use and cached in your browser. There is no extension, no desktop app, and no Python or Node environment to set up.

You can upload the common web image formats: JPG, PNG, and WebP. The tool decodes the image, detects and redacts faces at full resolution, and exports the anonymized result as a lossless PNG so the redaction stays crisp. If you have an unusual format, convert it to JPG or PNG first and it will work.

Yes. Only the detected face regions are altered, so the rest of the photo keeps its original resolution and detail. Blur produces a soft, natural-looking mask, while pixelate gives a clear mosaic. You control how strong the effect is with the slider, so you can make it just enough to hide identity or heavy enough to leave no doubt that the face was redacted.

Yes. A strength slider controls the blur radius or, in pixelate mode, the size of the mosaic blocks. Because the tool stores the detected face positions, moving the slider re-applies the effect instantly without running detection again, so you can dial in exactly the level of anonymization you want and preview it in real time before downloading.

Once the model has been downloaded and cached, anonymizing runs without an internet connection because everything happens on-device. It also works on mobile browsers that support WebAssembly and WebGL, though phones are slower than a laptop or desktop, especially on very large images. For the smoothest experience, load the model once over Wi-Fi and then anonymize freely.

If the detector does not find any faces, the tool leaves the image untouched and shows a friendly note letting you know none were detected. This can happen when faces are turned away, too small, partially hidden, or in poor lighting, which are the situations where BlazeFace struggles. In that case, try a clearer or higher-resolution version of the photo, or redact the faces manually before sharing.