Witness Camera

How to blur faces and anonymise voices in protest video, and why it is hard

Protecting the people in your footage without destroying the evidence.

Footage of a demonstration can identify protesters, bystanders and minors, to police, to employers and to facial-recognition systems. Blurring faces and disguising voices reduces that risk, but neither is a guarantee. This page gives a workflow and states the limits. Written by the developer of Witness Camera, so read it with that in mind; where another approach is better, it says so.

Short answer. Keep the original untouched as evidence, and publish only a blurred copy. Automatic face blurring misses faces, so review the whole video. Pixelating before blurring is safer than a plain blur, because a plain blur can be partly undone. Pitch-shifting a voice is weak on its own, because research exists on restoring pitch-shifted voices and speaking style still identifies people, so prefer subtitles, a transcript or removing the audio. Human Rights Watch has found that AI can reconstruct blurred faces enough to narrow identity, and now avoids capturing identifiable visual data where it can. Witness records the original; it does not currently blur faces or disguise voices.

The workflow

  1. Keep the original untouched. It is the evidence, and its hashes and time-stamp describe it. Never blur or edit it.
  2. Work on a copy for anything you publish.
  3. Blur faces and distinctive features of bystanders, minors and anyone who has not agreed. Also consider licence plates, tattoos, clothing and name tags.
  4. Review the whole copy, frame by frame where you can. Automatic detection misses faces turned away, small or partly hidden.
  5. Deal with audio, because voices and names identify people too.
  6. Strip or check metadata on the published copy, including location.
  7. Get a second person to look before publishing.

Blurring faces

Why blurring is not a guarantee

The WITNESS organisation, unrelated to this app, has long warned that there can be no absolute guarantees of anonymity and that footage is vulnerable to seizure at many points. More recently Human Rights Watch tested AI refocusing tools on a blurred photo and found facial structure re-emerged, as reported by Tech Policy Press. Treat a blur as reducing risk, not removing it, and avoid capturing identifiable people when you can.

Voices

Where Witness fits

Witness is the recorder: it keeps the original safe, hashed and time-stamped, and uploads it while you record. It does not currently blur faces or disguise voices, so do that on a copy with a tool like those above. Always blur a copy, never the original. See protest footage guides for minors and publishing.

Questions

How do I blur faces in a protest video?

Work on a copy, never the original. Use a tool that detects faces and blurs them, such as the free open-source DEFACE, then review the whole video, because detection can miss people. Pixelating before blurring is safer than a plain blur.

Is blurring faces enough to protect someone?

No. Detection can miss faces, a plain blur can be partly undone, and Human Rights Watch found AI could reconstruct blurred faces enough to narrow identity. Treat it as reducing risk.

Is changing the pitch of a voice enough to anonymise it?

No. Pitch shifting can be reversed and speaking style still identifies people. Prefer subtitles, a transcript or a voice-over.

Does Witness blur faces or disguise voices?

Not currently. Witness records and protects the original. Blur and disguise a copy with another tool.

Try it free

The free app includes this. Set it up and test it before you need it.

More Witness features explained

Written on 27 October 2026. Features and prices change. This is not legal advice.