ZSure Deepfake Detector

Detect AI-generated and deepfake videos and images on any website. Instant, evidence-backed analysis with a clear confidence score.

ZSure checks any image or video on the web and tells you, in seconds, whether it's authentic or AI-generated. As synthetic media gets cheaper to produce and harder to spot, that check matters: for faces that never existed, videos that never happened, and documents no one actually wrote. ZSure answers two separate questions with one scan: - Is this AI-generated at all? Illustrations, synthetic product photos, avatars, AI video clips. - If it shows a real person, has their likeness been faked? This is deepfake detection: catching synthesized or altered identities. Every scan returns a REAL or MANIPULATED verdict, a confidence score, and a visual explanation of how ZSure got there. No black box, no bare label. Why an ensemble, not one model A single detector is only as good as the generators it was trained on, and new generators show up every month. ZSure runs several independently trained models against each image and combines their findings into one score, the way a panel of forensic examiners would review the same evidence from different angles: - A structural model that checks whether an image's spatial logic holds together. This is the most reliable way to catch generators the system has never seen before. - A texture model that reads pixel-level noise and surface detail, effective against high-frequency artifacts. - A specialist router that hands each image to whichever detector is tuned to its specific artifact type. When the models agree, the verdict holds. When they don't, ZSure flags the result as ambiguous rather than forcing a guess. Tested performance Across 5 datasets and more than 2,600 images, ZSure reaches 90.9% overall accuracy and a 90.3% F1 score. On its primary cross-generator benchmark, accuracy climbs to 96.3% with an AUC-ROC of 0.989. Results hold across GAN faces, diffusion-model images, and synthesized video, including after the compression and re-encoding real platforms apply. Built for compressed, re-uploaded media Real files get compressed, screenshotted, and re-uploaded constantly, on WhatsApp, Instagram, X. A detector that only works on clean originals doesn't help anyone in practice. ZSure is tested specifically against that kind of degradation and keeps its forensic signal where older tools lose it. Evidence, not just a score Each result comes with: - A confidence percentage. - A heatmap marking the exact regions that look artificial. - A plain-language explanation of what was found. That's the difference between a label you take on faith and one you can actually act on, whether you're a journalist deciding what to publish or a moderator justifying a takedown. How to use it 1. Open the ZSure popup and start pick mode. 2. Click the photo or video you want checked, anywhere on the page. 3. Get a verdict and confidence score within seconds. Nothing is captured or sent until you click. Only what you select gets scanned. Who it's for - Anyone who's a target for deepfake scams and impersonation, including older adults. - Journalists and fact-checkers verifying media before it runs. - Trust and safety teams screening user uploads. - Anyone deciding whether to trust what they're looking at before they act on it. Sign-in Google sign-in is required to use the hosted service and to enforce your free scan quota. Your email is used only for authentication and quota tracking. Nothing is shared with third parties. Where it struggles - Heavily re-compressed social re-uploads are genuinely harder to call. Read those results with more caution. - Requires a reachable backend: ZSure's hosted service by default, or your own configured in Options. - DRM-protected video streams can't be analyzed. - Cross-origin images that block canvas access fall back to a backend URL download. - Confidence scores are model outputs, not certainties. Use judgment alongside them. Privacy - Pick-to-scan only. Nothing is captured until you click the specific media you want checked. - Scanned media goes only to your configured backend: ZSure's by default, or your own server. - No browsing history, page URLs, or third-party tracking collected. - Full details on retention and quota counters are in the Privacy Policy.