Show your image is real
Share a Realz capture when you want others to see that the photo was taken in Realz and can be independently checked.
Realz helps you capture verified photos in a world shaped by deepfakes, deceptive edits, and synthetic media.
When a photo is taken inside the Realz app, a public cryptographic proof can be created for independent verification. That makes it possible to show not just the image, but that it has not been altered after capture.
Realz is for people who want to take part in the fight for reality: people who want to show the world that their own image is real, and people who want confidence that images they receive were captured without being quietly edited afterward.
Share a Realz capture when you want others to see that the photo was taken in Realz and can be independently checked.
Ask for a Realz photo when you need more confidence that an image has not been generated, imported, or edited after capture.
Help normalize proof over persuasion in a world where convincing visuals are getting easier to fake.
Realz does not try to guess whether an old image is fake. It helps you create proof at capture time, so others can check that a photo was captured in Realz and preserved through a cryptographic proof.
Deepfakes, synthetic media, AI-assisted editing, beauty filters, and image manipulation are becoming more powerful, more accessible, and harder to detect. The result is simple: people increasingly need a better way to distinguish documentation from fabrication.
Photorealistic synthetic images can now imitate people, places, and events with alarming credibility. In high-trust contexts, that creates both reputational and practical risk.
Even when an image starts as a real photo, heavy retouching, compositing, and filters can make it impossible to know what actually happened in the original moment.
As visual manipulation becomes cheaper and faster, scams, identity abuse, and misleading image-based claims become easier to execute at scale.
Realz is not just another camera or photo-sharing experience. It is built around the idea that a meaningful image should be able to carry evidence of its integrity.
By combining capture inside the Realz app with a public verification flow, the platform gives users a practical way to demonstrate that an image has not been altered after it was taken.
Realz is intentionally simple to use, but the verification model is grounded in technical principles that are meant to be understandable, inspectable, and useful in practice.
For this to work, the image must be taken directly in the Realz app. A secure capture session gives the photo the context needed for proof creation.
Realz checks that the uploaded photo bytes match the capture hash before creating the proof. That makes after-the-fact changes easier to detect.
App integrity signals such as iOS App Attest and Android Play Integrity help Realz check that proof creation came from the real app on a plausible device.
Once shared, the image gets a public verify link. Other people can check the Realz result instead of relying on screenshots or private claims.
Realz is relevant anywhere an image is meant to document something real — whether that is a person, a product, an event, or a moment that should be trusted as captured.
Support confidence that a published image reflects the original capture rather than an altered derivative.
Get verifiable photos of items and events that must have high trust. Examples such as expenses from employees, or insurance claims that you need to verify.
Reduce uncertainty around heavily filtered or misleading profile imagery by enabling verifiable capture.
Preserve moments with a stronger authenticity signal, especially when proof of originality matters later.
Useful in contexts where image integrity contributes to credibility, reviewability, or evidentiary value.
Make it easier to share real moments online without asking others to guess what is edited, filtered, or synthetic.
Realz is now available on the App Store and Google Play, while web verification remains available at getrealz.app.
Our latest analysis looks at how manipulated images create a growing verification burden for platforms, institutions, and the public.
Our latest article explores how manipulated images raise the verification burden for institutions, platforms, and the public even when the immediate harm is not always obvious.