How to Verify a Suspected AI Video or Deepfake

Start with source and context

The question is not simply whether something looks AI-generated. Start with who published it, where it appeared first, what independent evidence supports it and whether provenance information survives from the original file.

Synthetic video quality is improving quickly enough that visual artefacts are an unstable detection method. That is the anchor for the rest of the check: build confidence from source, context and corroboration rather than trying to force a verdict from one clue.

What matters in practice

Synthetic video quality is improving quickly enough that visual artefacts are an unstable detection method.

Synthetic media quality keeps improving, while genuine media can look strange after compression, cropping or editing. That makes appearance alone a poor basis for a confident verdict.

A real clip can still be misleading when it is old, edited or presented with a false caption.

Provenance can strengthen a conclusion when it is available, but missing provenance is not proof of fakery. Treat it as one piece of evidence alongside the original source and independent corroboration.

Independent source confirmation is often more useful than deciding whether every frame is synthetic.

The consequence of being wrong should set the verification threshold. A harmless meme can tolerate uncertainty; a claim that could move money, damage a reputation or trigger panic deserves a much stronger evidence trail.

Why visual clues are not enough

Verification rarely produces perfect certainty from one clue. Strong conclusions come from several independent pieces of evidence that point the same way, while missing or conflicting evidence should lower confidence.

• Consumer tools cannot guarantee that a video is genuine or fake in every case.
• Compression, reposting and screen recording can remove or weaken technical provenance signals.

What could change the answer?

Confidence should move when a better source appears, provenance becomes available or genuinely independent reporting confirms or contradicts the claim. A good verification process leaves room for the answer to change.

What you can do now

Slow the claim down. Find the original source, look for context and corroboration, and increase the evidence threshold when being wrong would have serious consequences.

1. Find the earliest available upload and identify who published it.
2. Search for independent reporting or an original full-length source.
3. If the video asks for money, credentials or urgent action, verify the request through a separate known channel.

A four-question reality check

When a claim sounds dramatic, work through these four questions before deciding how much weight to give it.

Bottom line

A good verification process is comfortable with “not enough evidence yet.” That is usually safer than forcing every suspicious image, video or claim into a confident real-or-fake label.

Verification should focus on provenance, original source, independent corroboration and the request attached to the video. Lip-sync glitches and odd blinking may be clues, but convincing synthetic video can survive a casual visual inspection.