About us

Media authentication for institutions that cannot afford to be wrong.

Every day, millions of AI-generated images and videos circulate online. Some are harmless fun. Others are used to defraud businesses, impersonate executives, fabricate evidence, and manipulate public opinion. The problem is no longer whether fake media exists. The problem is that real people and real organizations are losing real money and real reputation because they cannot tell the difference fast enough.

AntiDeepfake was built for that exact moment: when you are looking at a photo, a video, or a document scan and you need to know whether it is genuine before you act on it.

Who relies on this

• Fraud and compliance teams screening identity documents and selfie videos during onboarding, catching synthetic identity fraud before accounts are opened.
• Newsrooms and journalists verifying user submitted photos and footage before publication, protecting their credibility when every second counts.
• Insurance and legal professionals producing verifiable forensic reports for claims investigation, disputes, and evidence review.
• HR and recruiting teams confirming that candidate photos and remote interview recordings are authentic.
• Marketplaces and trust and safety teams screening profile photos and listing images at scale through the API.
• Content creators and rights holders proving their own media is unaltered and screening incoming submissions for manipulation.

How we are different

Most detection tools give you a single score from a single model and call it a day. That is a black box. If the score is wrong, you have no way to know why, and no way to challenge it.

AntiDeepfake runs ten independent forensic checks in parallel. Each method examines a different layer of the file: facial geometry, pixel noise patterns, frequency signatures, metadata integrity, compression artifacts, and AI generator fingerprints. The results are combined into one overall confidence score, but you can see every individual method result. If something looks off, you can drill down and make your own judgment.

We also believe you should control where your files go. Every license includes self hosting with Docker. Deploy the engine inside your own infrastructure and your media never leaves your network.

What we stand by

• Detection should be explainable. If a human reviewer cannot understand why a result was returned, the result is not useful.
• Borderline cases should be reported as borderline, not forced into a dramatic label for marketing purposes.
• Your files are yours. We process them for analysis only. We do not train on them, sell them, or keep them longer than necessary.
• You should be able to run this on your own servers when privacy or compliance demands it.
• One price, unlimited scans. No per-check fees, no monthly subscriptions that grow with your usage.

AntiDeepfake is not a replacement for human judgment. It is a fast, documented way to decide what deserves a closer look, and a tool that helps you back up your decisions with evidence.