Best AI Deepfake Detection Tools

Not on their own. Accuracy on fresh, uncompressed, high-quality deepfakes from a new generator is often much worse than the marketing figures suggest, and both false positives on genuine content and false negatives on synthetic content are common. Treat a detection score as one input to a decision, and combine it with provenance, source checking and human review.

Sometimes, and it has got harder every year. Common tells are unnaturally smooth skin, inconsistent jewellery or text, impossible reflections, and hands with the wrong number of fingers. But none of these are reliable on their own, and they are increasingly absent. Metadata, model fingerprints and provenance are more dependable than your eyes.

Provenance rather than detection. C2PA content credentials, signed at capture by the device or platform, let you verify the origin of a file cryptographically. Google's SynthID, Adobe Content Credentials and the C2PA standard all move in this direction, and they are considerably more trustworthy than a probability score from a detector.

Journalists verifying footage from conflict zones, fraud and insurance teams handling claims, platforms moderating at scale, and anyone doing due diligence on video evidence in a legal context. For ordinary use, checking the source and looking for multiple independent confirmations is more practical than running a file through a detector.