Is That Video Real or AI-Generated?

Upload the video to the Imagera AI Video Detector — MP4, WebM, or MOV up to 5 minutes. The detector has a video model watch the whole clip for artifacts in motion, lighting and faces, and explain what it found. It returns an AI probability from 0 to 100%, a confidence figure and a label, with the signals behind them.

Imagera does not publish an accuracy percentage for its detectors, because it has not run a benchmark that could support one. A video scan has a video model watch the whole clip for artifacts in motion, lighting and faces, and explain what it found. It reports an AI probability from 0 to 100%, a confidence figure and a label, with the signals behind them, and the confidence figure is the number to weigh. Accuracy on heavily compressed, cropped or re-encoded footage is lower in every case. Treat any result as a likelihood, never a verdict.

Yes. The detector covers both cases: fully synthetic video from text-to-video and image-to-video generators, and partially manipulated real footage — face swaps, face re-enactment, and lip-sync dubbing. Deepfake scans of a face photo cost 15 credits; full video scans cost 20 credits.

The scan does not match a clip against a list of named generators. A video scan has a video model watch the whole clip for artifacts in motion, lighting and faces, and explain what it found. It returns an AI probability from 0 to 100%, a confidence figure and a label, with the signals behind them, and it does not name the tool that made the clip. For a suspected face swap in a still, run the deepfake check on the face photo (15 credits).

MP4, WebM, and MOV files up to 5 minutes long. For longer material, scan the most critical segment — talking-head sections are the most information-dense for deepfake analysis. Typical scans complete in 10–30 seconds depending on length and resolution.

Yes, with a caveat. A video scan has a video model watch the whole clip for artifacts in motion, lighting and faces, and explain what it found. Heavy compression and re-encoding strip fine frame detail, so a score on a re-uploaded copy is weaker evidence than a score on the original file. That is why the report gives a confidence figure beside the probability rather than a bare yes/no.

Every scan returns an AI probability from 0 to 100%, a confidence figure and a label, with the signals behind them. It does not name the generator or face-swap tool that made the clip.

Pay per scan in credits. Full video scans cost 20 credits; deepfake and face-swap scans of a face photo cost 15 credits. Current plans and credit packs are on the pricing page.

From 2 August 2026, Article 50 of the EU AI Act requires deepfakes and AI-generated media to be clearly disclosed, with penalties for transparency violations of up to EUR 15 million or 3% of global annual turnover. Detection is how platforms, publishers, and compliance teams operationalize that duty: scanning inbound video to flag undisclosed synthetic content before it is published or relied upon. Imagera reports provide the documented, per-method evidence trail those workflows need.

Your video is uploaded and stored in your account while it is analysed and afterwards, which is also what lets the scan appear in your history. It is not used to train models and not shared with third parties, and all transfers are encrypted with TLS 1.3. If you would rather it not be retained, delete the scan from your history when you are done.

Detection reports include an AI probability from 0 to 100%, a confidence figure and a label, with the signals behind them, which can support a human review — but no AI detector should be the sole basis for an accusation. Best practice is to combine an Imagera scan with at least one independent verification method and human review, and to treat the report as documented forensic evidence supporting a human decision.