Blur faces in protest photos
Photos document protests; they also identify people at them. If you’re sharing crowd photos, the working standard since 2020 — when Signal added face blurring and digital-rights groups published how-tos — is to blur the faces of people who haven’t chosen to be identifiable, and to strip the photo’s metadata. This page does both: faces are detected and blurred on your device (this preset starts at high strength), and the download carries no EXIF, no GPS, no timestamps.
For photos this sensitive, where the processing happens is the whole question. A “free blur tool” that uploads protest photos to its server creates exactly the record you’re trying not to create. Load this page, then switch your connection off and use it offline — it works, which is the proof.
Preset: strong blur + automatic metadata strip. Review every face manually before sharing — always.
Drop a photo here — or click to browse, or paste with Ctrl+V
JPG · PNG · WebP — faces found and hidden on your device, never uploaded
How it works
- Open this page — the tool is already set up for “Blur faces in protest photos”.
- Drop your photo in, click to browse, or paste it with Ctrl+V.
- Faces are detected on your device; drag boxes over anything else to hide.
- Check the preview (hold “compare”), then download the flattened, metadata-free copy.
What blurring faces does not do
Honesty over reassurance: faces are one identifier among several. Tattoos, distinctive clothing, hair, bags, signs someone is holding, and who they’re standing next to can all identify a person to someone who knows them — and research groups have shown gait and body shape matching in some conditions. Blur those elements too when they’re distinctive (draw boxes — the black box works on a backpack as well as it works on text). And the caption you write can undo everything the pixels hide.
Also true: blurring your copy doesn’t recall the original. Your camera roll, cloud backups and anything already posted remain. Decide what to share before sharing — this tool only guarantees that the copy you export here is the copy that exists elsewhere.
A workable two-minute routine
Scan; zoom across the crowd and box the faces detection missed (profiles and masks confuse it); box distinctive tattoos or clothing on people who are the subject; hold “compare” for one last look at what changed; download. The exported file is flat and metadata-free. If you photograph protests regularly, do this on-device routine before the photos ever reach a cloud backup.
Tips that save a re-edit
- Strength 9–10 for identifiable faces — at close range, a mild blur is a courtesy, not anonymity.
- Masks and profile views defeat detectors most often; those are exactly the faces to check manually.
- Box signs with names or phone numbers, and screens of phones people are holding.
- Post the redacted export, not a re-screenshot of your camera roll — screenshots of the original keep the original.
Before you post: zoom in and check every face, plate and label yourself. Auto-detection is a head start, not a guarantee — a missed face in a shared photo can’t be un-shared.
Frequently asked questions
Is blurring faces in protest photos enough to protect people?
It removes the strongest single identifier, and at this preset’s strength the faces themselves are unrecoverable. It does not remove tattoos, clothing, context or captions, and it can’t retract copies that already exist. Treat it as necessary, not sufficient — the guide linked below covers the rest of the checklist.
Why does this page insist on working offline?
Because for this use case the upload itself is the risk. This site is static — there is no server that could receive your photo — and the tool keeps working with networking disabled, which you can verify in a minute. That’s an architectural fact, not a policy promise.
Should I use blur or black boxes for faces here?
Blur at high strength destroys the face while keeping the photo’s documentary feel, which is why newsrooms use it. If someone’s safety specifically depends on a face being gone, use the black box on that face — it’s the bluntest and strongest option.