How to Tell if a Video Is AI-Generated: 6 Signs That Never Fail
AI video is getting scary-good, but it still leaks tells. These six checks catch even Sora and Veo outputs in under a minute.

AI-generated video crossed the "you might not notice" line in 2025. In 2026 the checks that used to work — extra fingers, weird eyes — are mostly obsolete. Here are six that still reliably catch synthetic clips.
1. Watch the physics of small things
Related: GPT-5 Is Here: Everything You Need to Know About OpenAI's Most Powerful Model Yet →
AI models learn dominant motion (people walking, wind in leaves) but stumble on small physical objects.
- Ice cubes floating instead of sinking
- Cloth that folds in impossible ways
- Water splashes with no droplets
- A ring that changes finger between frames
Pause every 0.5 seconds and look at what should be interacting with gravity.
2. Check text in the scene
Related: Will AI Coding Agents Replace Developers? We Asked 100 Engineers →
Signage, book covers, name tags, and license plates are where AI still trips. Even the best 2026 models produce text that:
- Warps between frames
- Uses invented characters
- Mixes letter styles mid-word
- Reads correctly at a distance but breaks up close
If you can read a sign clearly and the letters are stable across a full second, that's a real recording indicator (though not a guarantee).
3. Reflections and shadows
Related: The 27 Best AI Tools in 2026 (Tested for 90 Days) →
Real cameras capture reflections that match the source of light. AI often gets:
- Reflections in eyes that don't match the environment
- Shadows going in inconsistent directions
- Glossy surfaces (car paint, water, glasses) with reflections that look painted rather than mirrored
Look for a car window, a puddle, or a glass door in the shot.
4. Ears, teeth, jewelry
Related: ChatGPT vs Claude 4: Which AI Should You Actually Pay For in 2026? →
Faces are much better in 2026, but the edges of faces still leak. Check:
- Earring shape stability across a smile or head turn
- Teeth count and shape when someone talks (AI teeth often shimmer)
- Necklaces that clip through skin
- Glasses arms that disappear behind the ear inconsistently
5. Camera behavior
Related: Google Gemini 3 Ultra Review: Has Google Finally Caught Up? →
Cinematographers do things with camera that models still fake:
- Depth of field drift — real focus pulls hit a target; AI blur "breathes" in strange ways
- Rolling shutter — real fast pans on phones create characteristic warping; AI usually forgets it
- Motion blur on hands but not on the head during fast movement, or vice versa
6. Metadata and audio
If you can access the file itself:
- Check EXIF / metadata (no camera model = suspicious)
- Look at audio waveform: AI clips often have unnaturally clean sound with no room noise
- Ambient sound that doesn't match the environment (busy street with silent background) is a giveaway
Tools that automate this
Public detectors like Deepware, Hive AI's video detector, and Truepic help — but treat their scores as evidence, not proof. A 90% "AI-generated" score with confirming visual tells is strong; a 60% score alone isn't.
What to do when a video matters
For anything with real consequences — news, legal, personal — combine three checks: visual tells, at least one detector, and a reverse-image search on standout frames. That combination catches 99% of current AI video. The remaining 1% needs a professional forensic team, not a checklist.
Related Stories
View all in AI →The Daily Pulse
Get the 5 biggest tech stories in your inbox every morning. Free, no spam, unsubscribe anytime.
Join 50,000+ tech professionals reading every day.



