Use case

Verified photos for journalism and field reporting

When a photo becomes part of a public claim, people need more than a caption. Realz helps reporters, witnesses, and field teams capture photos with a proof that can be checked independently.

Why image proof matters in reporting

AI-generated images, misleading crops, edited files, and recycled visuals can move quickly during public events. A Realz proof gives editors and audiences a separate verification surface: not just the image, but evidence that the image was captured through Realz and preserved through proof creation.

How Realz helps

  • Capture starts inside the Realz verified camera flow.
  • The backend creates a signed proof for the captured photo bytes.
  • App and device integrity signals help reduce compromised-client risk.
  • A public verification link lets other people inspect the proof state.

What Realz does not claim

Realz is not a general-purpose fake-image detector and does not prove every fact in a scene. It provides stronger evidence about the capture and proof path for photos taken inside Realz.

Practical workflow

A reporter or contributor takes the photo in Realz, creates the proof, and shares a verification link alongside the image. Editors or readers can then verify the Realz proof instead of relying only on screenshots, metadata, or trust in the person who forwarded it.

Questions people ask

Can Realz prove that a photo was not AI-generated?

Realz can show that a photo was captured through the Realz app and preserved through proof creation. That is different from trying to classify an arbitrary old image as AI-generated or not.

Can someone verify the photo without installing Realz?

Yes. Shared Realz proofs can be checked through the public verification service at getrealz.app.