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DeepFakeCheck
Evidence-first AI checks for video, audio, image & text
Review suspicious video, audio, images, and text in one place. DeepFakeCheck combines locally verified C2PA provenance when available, metadata clues, and AI-based analysis, then returns a clear risk rating with uncertainty notes instead of claiming proof. Video checks sample up to 10 frames across the full timeline. Free checks, no signup; uploads are not retained after the request completes.
Hi Product Hunt 👋 I built DeepFakeCheck after seeing how easily suspicious clips and voice notes get treated as either ‘obviously fake’ or ‘definitely real.’ Most tools return a single confidence score. I wanted a more honest workflow: check provenance when present, inspect metadata, run AI analysis, and show uncertainty instead of calling the result proof. You can try video, audio, image, or text without creating an account. I’d especially value feedback on whether the evidence is understandable and what would make it more useful for journalists, fraud triage, and everyday verification. Important: AI detectors can be wrong, so high-stakes decisions still need independent verification.
A reverse image and audio search would be a great add, even if it pulls from a small curated set of fact checking sources. It would help catch clips that are old or out of context, which feels like the most common type of misinformation I see in family group chats.
One thing I'd love to see is a side-by-side comparison view that overlays the frame timing analysis with the audio waveform sync, so I can spot lip-sync drift at a glance. Would make the verification feel more transparent and help me trust the risk rating.
Behind the launch: DeepFakeCheck is built for situations where a single confidence score isn’t enough—suspicious clips, voice notes, images, or text that need inspectable evidence. We combine C2PA provenance when present, metadata clues, and multimodal analysis, then keep uncertain cases uncertain. Our current image regression set includes 5 AI-generated and 7 real images. All 12 pass our release guardrails; in the first 10-image run, all 5 AI images stayed high risk, while none of the 5 real images were falsely marked high risk (3 difficult real images remained uncertain). Video regression currently covers 4 manipulated and 6 real clips. These are small regression guardrails, not a claim of universal accuracy.
the no signup and no retention thing is honestly what got me to try it. ran a video through and liked that it showed uncertainty notes instead of a flat "real/fake" answer, kind of refreshing honestly.
honestly really appreciate that you surface uncertainty instead of just slapping a true/false label on things, that alone sets you apart from most detectors. one thing i'd love to see is a side by side comparison view where i can see the specific frames that triggered the risk score, basically the evidence right next to the rating, so i can judge it myself instead of taking the score on faith
About DeepFakeCheck on Product Hunt
“Evidence-first AI checks for video, audio, image & text”
DeepFakeCheck was submitted on Product Hunt and earned 0 upvotes and 9 comments, placing #68 on the daily leaderboard. Review suspicious video, audio, images, and text in one place. DeepFakeCheck combines locally verified C2PA provenance when available, metadata clues, and AI-based analysis, then returns a clear risk rating with uncertainty notes instead of claiming proof. Video checks sample up to 10 frames across the full timeline. Free checks, no signup; uploads are not retained after the request completes.
DeepFakeCheck was featured in Artificial Intelligence (474.3k followers) on Product Hunt. Together, these topics include over 108.8k products, making this a competitive space to launch in.
Who hunted DeepFakeCheck?
DeepFakeCheck was hunted by alex. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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alex