Skip to content
Learn Motion
ExploreHow it worksMembership
Log in
Learn Motion

Spotting AI-Generated Images and Videos: A Practical Checklist

1Why Detection Is a Judgment, Not a Test2Visual Clues in AI-Generated Images3Visual Clues in AI-Generated Video4Context and Content Clues5Metadata and Provenance Signals6A Practical Checklist and Common Traps
Visual Clues in AI-Generated Video

Lip-Sync and Audio Mismatch

3 / 3
Speech gives you a rare chance to cross-check two channels at once. Audio and video are often produced or processed separately and then combined, so small disagreements survive into the final clip. Focus on the mouth while you listen. The clearest test is lip closure on the sounds p, b, and m, because those require the lips to actually meet; if the mouth stays open, the shape and the sound disagree. Then check timing: does the audio consistently lead or lag the mouth? Check start and stop: does the jaw keep moving after the voice has ended? A useful trick is to mute the clip and try to read the words from the mouth alone; if the articulation is too vague to follow, note it. One caveat: dubbing, translation, and heavy compression can cause the same errors in real footage, so a mismatch that runs through the whole clip matters more than a single glitch.
0:00 / 0:00

What to compare between mouth and sound

  • Lip closure on p, b, and m sounds: the lips should visibly meet; if they do not, the mouth shape and the audio disagree.
  • Timing offset: listen for whether the audio consistently leads or lags the visible mouth movement.
  • Start and stop: check whether jaw and lip motion begins and ends with the speech, or continues past it.
  • Articulation detail: mute the clip and try to read the words from the mouth; vague or repetitive movement is a warning sign.
  • Voice fit: note whether pitch, accent, and apparent age match the visible speaker.

Why this is a clue, not a verdict

Dubbing, translation, low frame rate, and heavy compression can all create lip-sync errors in real footage. Treat a systematic mismatch across the whole clip as meaningful, and a single glitch as weak evidence.

Previous3 / 3Next

Learn Motion

Generate a course. Learn it properly.

Operated by Wuhan Daoyin Technology Co., Ltd.

Contact: [email protected]
Privacy PolicyTerms of Service

© 2026 Learn Motion