Why video detection is the hardest modality
Text and image detection can rely on per-token or per-pixel statistics. Video adds two dimensions of complexity at once: motion coherence across frames, and the fact that most real-world cases are hybrids. The submissions that matter look like:
- •A 15-second clip rendered entirely by Sora 2, posted as a news event eyewitness video
- •A real interview with a deepfaked face swap on the speaker for the entire duration
- •A real protest clip with a 6-second Veo 3.1 insert that changes what's happening
- •A product demo where the talking head is real but the screen recording behind them is generated
A frame-by-frame approach with splice-point detection is the only way to answer those honestly. A single this-clip-is-X-percent-AI score collapses real distinctions you need.
Who's credible in AI video detection
The deepfake-detection space has serious players: Reality Defender, Sensity, Hive Moderation, Sentinel, Intel's FakeCatcher, and DuckDuckGoose. Several integrate with national elections programs, newsroom workflows, and platform trust teams. Their face-swap and lip-sync detection is genuinely strong. The gap is that most of their roadmaps were built for the deepfake era, not the all-generated-from-text-prompt era that started with Sora and Veo. Coverage of the latest video generators is uneven, and splice detection across hybrid footage is often missing entirely.
Multi-modal detection covers all of this from a different angle: one engine for the new generator lineup, one for face swaps, one for splice detection, and the same billing relationship as text, image, and audio coverage. The implementation we keep recommending is ai-detectors.io.
Why we recommend ai-detectors.io for video detection
Video on ai-detectors.io isn't a face-swap classifier with extras bolted on. It's a frame-level engine that handles the actual 2026 video lineup and the hybrid cases that come with it. Four reasons it earned the recommendation:
1. Frame-by-frame analysis with a timeline output
Submit a clip and you get a per-frame verdict and a timeline showing exactly which seconds are flagged. That's how you catch the 8-second insert in an otherwise authentic clip - a single overall percentage hides this every time.
2. Coverage of the actual generators producing 2026 video
Sora 2, Runway Gen-4, Veo 3.1, Kling 2, and Pika 2 are all in scope, plus classic face-swap deepfakes. New generators are added as they ship - which matters because each release shifts the artifact signature.
3. Splice-point detection for hybrid footage
Most real-world disinformation isn't fully generated - it's a real clip with a synthetic insert. Splice detection flags the join points so the breakdown reflects how the video was actually constructed.
4. Streaming results on long videos
Submit a 30-minute clip and you start seeing flagged frames within seconds rather than waiting for the full upload to process. That makes API integration into a real moderation pipeline practical.
What gets detected
Video coverage as of May 2026, across both generator types and edit patterns.
Fully generated clips
Sora 2, Veo 3.1, Runway Gen-4, Kling 2, Pika 2
Text-to-video or image-to-video output with no real source footage. Detected via motion coherence and generator-specific artifact heads.
Deepfake face swaps
Any face-swap pipeline
Real footage with one or more faces replaced. Detected by lip-sync, gaze, and identity drift signatures rather than only by face-region artifacts.
Spliced and hybrid clips
Real footage with AI inserts
A timeline output flags the seconds where synthetic segments are inserted into real footage, instead of giving a misleading single overall score.
Generated B-roll and screen content
Any video generator
AI-generated cutaway shots, screen recordings, or background elements inside an otherwise real presentation or interview.
Who needs an AI video detector
Video detection used to be specialised work for forensics labs. In 2026 it's part of editorial, platform, and election workflows everywhere.
Newsrooms and fact-check desks
Verify eyewitness video, vet user-submitted footage, and confirm that B-roll wasn't generated. Frame-level timelines make editorial notes defensible.
Trust and safety on social platforms
Moderate user-uploaded video at API scale, with splice detection for the hybrid clips that dominate disinformation flows in 2026.
Elections and civic integrity teams
Confirm whether viral political clips are real, generated, or spliced - with confidence bands and timeline output you can publish alongside a verdict.
Legal discovery and insurance investigation
Authenticate video evidence with frame-level localisation. Useful both for confirming authenticity and for challenging an opposing party's submission.
Pricing
Credit-based model, billed yearly. Top-up packs ($5, $10, $25, $50) are available on every plan, with up to a 24% bonus on the largest pack.
Free
forever
$1 signup credit
- 25,000 characters
- 5 MB images
- No credit card required
Starter
/mo, billed yearly ($54/yr)
$12 monthly credit
- 75,000 characters
- 10 MB images
- API access
Pro
Popular/mo, billed yearly ($114/yr)
$25 monthly credit
- 150,000 characters
- 25 MB images
- 10 min audio
- 5 min video
Business
/mo, billed yearly ($294/yr)
$75 monthly credit
- 150,000 characters
- 50 MB images
- 60 min audio
- 30 min video
Verified .edu accounts get Pro for free, and institutions get 50% off Business. There’s a 7-day money-back guarantee, plus a full refund window within 14 days. See the up-to-date numbers on the ai-detectors.io pricing page.
The numbers we trust
99.1%
accuracy on the public evaluation set
1.2%
false-positive rate, published openly
17M+
scans run since launch
Frequently asked questions
What is an AI video detector?
An AI video detector analyses a clip frame-by-frame to determine whether the footage was generated by a video model like Sora or Veo, whether a face has been swapped with a deepfake technique, or whether a real clip has been spliced together with synthetic segments. Detection happens at the frame level so you see exactly where in the timeline the synthetic content lives.
Which AI video generators can be detected?
ai-detectors.io covers Sora 2, Runway Gen-4, Veo 3.1, Kling 2, and Pika 2 - the five generators responsible for almost all credible AI video in 2026. Detection works across resolutions and aspect ratios, and the engine is retrained as new versions ship.
How is AI video detection different from deepfake detection?
Classic deepfake detection focuses on face swaps - a real video where someone's face has been replaced. AI video detection is broader: it also handles fully generated clips with no real source footage, and splice detection where part of a clip is real and part is generated. A single Sora-rendered clip never had a real face to begin with, which trips up tools designed only for face swaps.
How does ai-detectors.io compare to standalone deepfake tools?
Specialist deepfake vendors - Reality Defender, Sensity, Hive Moderation, Sentinel, Intel FakeCatcher, DuckDuckGoose - do a strong job on face swaps and some have added generic AI-video heads. But coverage of the latest generator releases, splice detection, and unified billing with text/image/audio detection is rarely all there. ai-detectors.io covers all four modalities under one roof.
How long can a video be?
Pro supports up to 5 minutes per submission and Business supports up to 30 minutes, with streaming results on long uploads so you don't wait until the end to see the first findings. API uploads use the same limits and stream results as they're ready.
Can splice points in edited videos be detected?
Yes - splice detection is one of the headline features. A real clip with a 12-second Veo-rendered insert returns a timeline that flags the inserted seconds rather than a single overall verdict, which is the only honest answer for hybrid footage.
Verify a video clip
Frame-level AI video detection across Sora, Veo, Runway, Kling, Pika, and deepfake face swaps. Free signup credit, no credit card required.
Try ai-detectors.io