Is That Video Real
or AI-Generated?
Upload any video and know within seconds. The Imagera AI Video Detector scans for AI generation and deepfake face swaps across 20+ generators — with 96.8% accuracy, source-model identification, and a forensic report you can act on.
From 15 credits (~$0.47) per scan · No subscription required
How It Works
Three steps from suspicious clip to documented verdict. No installation, no subscription, no forensics degree required.
Upload Your Video
Drag & drop an MP4, WebM, or MOV up to 5 minutes. For longer footage, scan the most critical segment — talking-head sections carry the densest deepfake evidence.
Six Methods Run in Parallel
Temporal consistency, frame-level frequency forensics, lip-sync cross-check, optical-flow physics validation, diffusion fingerprinting, and multi-signal fusion — all GPU-accelerated.
Read the Verdict Report
In 10-30 seconds: AI probability (0-100%), confidence score, suspected source generator, and a per-method breakdown showing exactly which signals triggered.
How to Check if a Video Is AI-Generated
Eight tells you can look for with your own eyes — and why they are no longer enough on their own.
Unnatural blinking patterns
Deepfake subjects often blink too rarely, too regularly, or with both eyes slightly out of sync. Real humans blink every 2–10 seconds with irregular timing. Pause on the eyes and count.
Flickering face boundaries
Face-swap pipelines blend a generated face onto a source head frame by frame. Watch the jawline, hairline, and ears for soft shimmer, color seams, or edges that wobble when the head turns.
Hands, teeth, and jewelry morphing
Generative video still struggles with high-detail regions. Fingers merge or change count between frames, teeth blur into a single band, and earrings or glasses subtly change shape.
Physics that almost works
Hair, cloth, liquids, and reflections obey learned statistics, not physics. Watch for hair that moves a beat late, drinks that never ripple, and mirrors or windows showing the wrong reflection.
Lighting mismatch on the face
In re-enacted or swapped footage the face is lit by the generator, not the scene. Compare shadow direction on the nose and chin with shadows in the background — mismatches are a strong deepfake tell.
Audio–lip desynchronization
Cloned or dubbed audio rarely lands perfectly on the lips. Watch plosive sounds — p, b, m — and check the lips actually close. Lip-sync drift of even two frames is visible at 0.5× playback speed.
Warping backgrounds and text
Attention stays on the subject, so backgrounds drift: door frames bend as the camera pans, signage and captions show garbled characters, and patterns like brick or tile swim between frames.
Too-smooth motion and texture shimmer
AI video often has an unnaturally uniform frame cadence and a faint "boiling" texture on skin and fabric. Real camera footage carries sensor noise and motion blur that generators approximate imperfectly.
The honest caveat: manual inspection catches 2023-era fakes. The current generation of video models produces footage that passes every visual check above. When the answer actually matters — hiring, claims, publication, evidence — run a forensic scan instead of trusting your eyes.
Run a Forensic ScanDetection Technology
Six independent forensic methods fused into one calibrated verdict. No single check is foolproof — the ensemble catches what individual methods miss.
Temporal Consistency Analysis
Real cameras capture a physically continuous world; generators synthesize each clip from learned statistics. Our models track facial landmarks, blinking cadence, motion vectors, and frame-rate uniformity across the full timeline to expose frame-to-frame inconsistencies no human eye can catch.
Frame-Level Frequency Forensics
Every generator leaves a spectral fingerprint inside individual frames. We run Fourier and wavelet analysis on sampled frames to compare their frequency distribution against authentic camera sensor noise — synthetic frames lack the physical sensor signature real footage always carries.
Lip-Sync & Audio Track Cross-Check
For talking-head video, the audio track is evidence too. We align phonemes against lip motion frame by frame and analyze the audio for synthetic voice signatures, catching dubbed deepfakes whose video and audio were generated separately.
Optical-Flow Physics Validation
Motion in real video obeys physics: momentum, parallax, and consistent occlusion. Optical-flow analysis measures whether objects, hair, fabric, and reflections move plausibly between frames — generated video produces statistically detectable motion-field anomalies.
Diffusion & GAN Fingerprinting
Each generation architecture leaves identifiable statistical signatures in its output. Trained on outputs from 20+ video and face-swap generators, our classifiers not only flag synthetic video but identify the likely source model behind it.
Multi-Signal Fusion Verdict
No single method is foolproof, so we never rely on one. Temporal, spectral, audio, motion, and fingerprint signals are fused into a single calibrated confidence score — the ensemble catches manipulations that defeat any individual check.
August 2026: Deepfake Disclosure Becomes Law
The EU AI Act's transparency obligations (Article 50) apply from 2 August 2026. Verification stops being optional for anyone publishing, hosting, or relying on video.
Disclosure is mandatory
Deepfakes and AI-generated or AI-manipulated media must be clearly labeled as such. The obligation covers realistic synthetic video of people, places, and events.
Penalties have teeth
Transparency violations carry fines of up to EUR 15 million or 3% of global annual turnover — whichever is higher. Enforcement applies to providers and deployers alike.
Detection operationalizes compliance
You cannot label what you cannot find. Scanning inbound and published video for undisclosed synthetic content is how platforms, publishers, and compliance teams make Article 50 workable.
This section summarizes Regulation (EU) 2024/1689 for orientation and is not legal advice. Imagera detection reports provide the documented, per-method evidence trail compliance workflows need — pair them with counsel for your specific obligations.
Compare AI Video Detection Tools
Most video-capable detectors are enterprise-contract only. Imagera is self-serve, pay-per-scan, and identifies the suspected source generator — not just a yes/no.
| Tool | AI Video | Deepfake | Source-Model ID | Self-Serve | Stated Accuracy | Pricing |
|---|---|---|---|---|---|---|
| Imagera AI | 96.8% video / 99.1% deepfake | Pay-per-scan from $0.47 | ||||
| Sensity AI | — | — | ~95% (vendor-stated) | Enterprise contract | ||
| Reality Defender | — | — | Not published | Enterprise contract | ||
| Hive AI | — | — | Not published | Enterprise API | ||
| Deepware Scanner | — | — | Not published | Limited scans | ||
| Attestiv | — | Not published | Monthly plans |
Comparison reflects publicly available vendor information as of June 2026. Accuracy figures represent best-case performance on unedited synthetic content; real-world accuracy varies with compression, editing, and content complexity.
Who Verifies Video with Imagera
Anywhere a video drives a decision — publication, hire, claim, verdict — someone now has to prove it's real first.
Newsrooms & Fact-Checking
Verify user-submitted and viral footage before it enters the news cycle. Scan eyewitness clips, interview videos, and breaking-news material for AI generation and face swaps — with a forensic report your editor can read.
Journalists, fact-checkers, editorial teams
HR & Remote Hiring
Deepfake candidates are now a documented interview-fraud vector. Screen recorded video interviews and identity-verification clips for face swaps and re-enactment before extending offers or system access.
Recruiters, HR teams, background-check providers
Finance & Insurance
Video evidence drives claims and KYC decisions. Detect manipulated damage footage, synthetic identity videos, and deepfake executive calls used in payment-authorization fraud — before money moves.
Claims teams, fraud units, compliance officers
Legal & eDiscovery
Authenticate video exhibits with a methodology breakdown, confidence scores, and suspected source-model identification that can support expert testimony. Detection output is a signal for human review, never a sole verdict.
Attorneys, forensic analysts, investigators
Trust & Safety Platforms
Screen user-generated video at scale for synthetic content, deepfake profile clips, and non-consensual face swaps. API access lets you wire detection directly into upload-moderation pipelines.
Platform moderators, trust & safety teams
Government & Elections
Combat synthetic-media disinformation campaigns. Verify political footage, public statements, and constituent-submitted video — deepfake detection is now standard practice in election-integrity workflows.
Agencies, election officials, analysts
20+ Video Generators & Deepfake Tools Detected
Detection models are continuously retrained on the latest outputs from every major video generator and face-swap pipeline. New tools are added within days of public release.
Video Generators
- Sora 2
- Google Veo 3
- Runway Gen-4 Turbo
- Kling 3.0
- Pika 2.5
- Seedance 2.0
- Luma Ray 2
- MiniMax Hailuo
- Vidu Q3
Deepfake / Face Tools
- FaceSwap
- DeepFaceLab
- SimSwap
- FaceFusion
- Ghost FaceNet
- Wav2Lip
- LivePortrait
- InSwapper
- Reface
- HeyGen
- SadTalker
Pay Per Scan — No Subscription
No monthly fees. No minimum commitments. Pay only for the scans you run. Credits never expire.
Deepfake / Face Swap
15 credits per scan
$0.47
Full Video Scan
20 credits per scan
$0.62
200 Credits
$4.99
Starter pack
Why Video Verification Matters in 2026
Synthetic video has crossed from novelty to fraud vector to regulated category — all within three years.
8M+
Deepfakes shared online in 2025
900% growth from 2023
$410M
Lost to deepfake fraud in H1 2025
$450K average per incident
Aug 2026
EU AI Act Article 50 applies
Deepfake disclosure becomes mandatory
96.8%
Imagera video detection accuracy
99.1% on deepfake face swaps
Go Deeper on AI Detection
Video is one modality of five. Imagera also detects AI-generated images, text, audio, and face swaps — and the guides below cover the full landscape.
Deepfake & Face Swap Detection
Dedicated face-manipulation scanning for images and video — 99.1% accuracy across FaceSwap, DeepFaceLab, SimSwap and more.
OpenAI Image Detector
Check single frames, thumbnails, and photos for AI generation with 99.7% accuracy across 12 image generators.
OpenAI Audio & Voice Detector
Verify the soundtrack separately — detect cloned and synthetic voices with 97.4% accuracy.
OpenAll-in-One AI Content Detection
The full five-modality platform: images, text, audio, video, and deepfakes in a single dashboard.
OpenDeepfake Detection: The Complete Guide
10 detection tools, visual tells, and enterprise defense strategies for deepfakes.
OpenThe Complete Guide to AI Content Detection (2026)
Everything you need to know about detecting AI-generated media across all five modalities.
OpenUpload the video (MP4, WebM, or MOV up to 5 minutes) to the Imagera AI Video Detector. Six forensic methods run in parallel — temporal consistency analysis, frame-level frequency forensics, lip-sync cross-check, optical-flow physics validation, diffusion fingerprinting, and multi-signal fusion — and return a verdict in 10-30 seconds: AI probability (0-100%), confidence score, suspected source generator, and a per-method breakdown. Accuracy is 96.8% for AI-generated video and 99.1% for deepfake face swaps. Scans start at 15 credits (~$0.47), no subscription.
What is AI Video Detector?
AI Video Detector An AI video detector is a forensic tool that analyzes video files to determine whether they were generated or manipulated by artificial intelligence — covering fully synthetic clips from text-to-video models and partially manipulated real footage such as deepfake face swaps and lip-sync dubbing. The Imagera AI Video Detector fuses six independent detection methods, covers 20+ video generators and face-swap tools, and returns AI probability, confidence score, suspected source model, and a forensic breakdown in seconds. Browser-based, pay-per-scan from 15 credits ($0.47).
Unlike enterprise-only video detection vendors (Sensity AI, Reality Defender, Hive AI), Imagera is self-serve with pay-per-scan pricing and identifies the suspected source generator in every report. From 2 August 2026, the EU AI Act's Article 50 transparency obligations make deepfake disclosure mandatory in the EU — detection is how publishers, platforms, and compliance teams operationalize that duty.
Rebecca Mitchell
Marketing Lead, Imagera AI
Rebecca Mitchell leads marketing at Imagera AI, helping creators discover the power of AI-driven content creation. With expertise in digital marketing and creator economy, Rebecca connects 150K+ creators with tools that transform their creative workflows.
Frequently Asked Questions
Everything you need to know about checking videos for AI generation and deepfake manipulation
Upload the video to the Imagera AI Video Detector — MP4, WebM, or MOV up to 5 minutes. The detector runs six independent forensic methods (temporal consistency, frame-level frequency analysis, lip-sync cross-check, optical-flow physics validation, diffusion fingerprinting, and multi-signal fusion) and returns a verdict in seconds: AI probability from 0–100%, a confidence score, the suspected source generator, and a per-method forensic breakdown.
Video detection achieves 96.8% accuracy on unedited AI-generated clips from generators including Sora 2, Veo 3.1, Runway Gen-4 Turbo, and Kling 3.0. Deepfake and face-swap detection reaches 99.1% accuracy. Accuracy on heavily compressed, cropped, or re-encoded footage can be lower — the report always includes a confidence score so you know how much weight to give the verdict.
Yes. The detector covers both cases: fully synthetic video from text-to-video and image-to-video generators, and partially manipulated real footage — face swaps, face re-enactment, and lip-sync dubbing from tools such as FaceSwap, DeepFaceLab, SimSwap, FaceFusion, Wav2Lip, and HeyGen. Deepfake-specific scans cost 15 credits; full video scans cost 20 credits.
Detection models are trained on outputs from 20+ video and face tools: Sora 2, Google Veo 3, Runway Gen-4 Turbo, Kling 3.0, Pika 2.5, Seedance 2.0, Luma Ray 2, MiniMax Hailuo, and Vidu Q3 for generated video, plus FaceSwap, DeepFaceLab, SimSwap, FaceFusion, Wav2Lip, LivePortrait, Reface, HeyGen, and SadTalker for deepfakes. New generators are added within days of public release.
MP4, WebM, and MOV files up to 5 minutes long. For longer material, scan the most critical segment — talking-head sections are the most information-dense for deepfake analysis. Typical scans complete in 10–30 seconds depending on length and resolution.
Yes, with a caveat. Temporal signals — blinking cadence, motion-field anomalies, lip-sync drift — survive re-encoding because they live in the content itself, not the file. Heavy compression does degrade frame-level frequency forensics, which is why the verdict fuses multiple independent signals and reports a confidence score rather than a bare yes/no.
Every scan returns a binary verdict (AI-generated or authentic), an AI probability percentage, a calibrated confidence score, a human-readable label such as "Likely AI-Generated," the suspected source model (for example a specific video generator or face-swap tool), and a forensic breakdown showing which detection methods triggered and why.
Pay per scan with no subscription. Full video scans cost 20 credits (~$0.62); deepfake/face-swap scans cost 15 credits (~$0.47). Credits start at $4.99 for 200 credits and never expire. There are no monthly fees or minimum commitments.
From 2 August 2026, Article 50 of the EU AI Act requires deepfakes and AI-generated media to be clearly disclosed, with penalties for transparency violations of up to EUR 15 million or 3% of global annual turnover. Detection is how platforms, publishers, and compliance teams operationalize that duty: scanning inbound video to flag undisclosed synthetic content before it is published or relied upon. Imagera reports provide the documented, per-method evidence trail those workflows need.
No. Uploads are processed in memory on GPU infrastructure, analyzed, and immediately discarded. Files are never written to permanent storage, never used to train models, and never shared with third parties. All transfers are encrypted with TLS 1.3.
Detection reports include confidence scores, methodology breakdowns, and suspected source-model identification that can support proceedings — but no AI detector should be the sole basis for an accusation. Best practice is to combine an Imagera scan with at least one independent verification method and human review, and to treat the report as documented forensic evidence supporting a human decision.
Scan Any Video
for AI Signatures
AI-generated video • Deepfake face swaps • Lip-sync dubbing — one scan, forensic-grade report, results in seconds
From 15 credits (~$0.47) per scan · No subscription required
Q:What is the Imagera AI Video Detector?
A: A browser-based tool that checks whether a video is AI-generated or a deepfake. Upload any MP4, WebM, or MOV up to 5 minutes and get a verdict in 10-30 seconds: AI probability (0-100%), confidence score, suspected source generator, and a per-method forensic breakdown. 96.8% accuracy on AI-generated video, 99.1% on deepfake face swaps.
Q:Which video generators and deepfake tools does it detect?
A: Detection covers 20+ tools: Sora 2, Google Veo 3, Runway Gen-4 Turbo, Kling 3.0, Pika 2.5, Seedance 2.0, Luma Ray 2, MiniMax Hailuo, and Vidu Q3 for generated video; FaceSwap, DeepFaceLab, SimSwap, FaceFusion, Wav2Lip, LivePortrait, Reface, HeyGen, and SadTalker for deepfakes and face swaps.
Q:How do I check if a video is AI-generated?
A: Manual tells — unnatural blinking, flickering face boundaries, hands that morph, physics errors — catch older fakes, but modern generators defeat visual inspection. The reliable check is forensic: upload the clip and let six independent detection methods analyze temporal consistency, frequency signatures, lip-sync alignment, motion physics, and generator fingerprints.
Q:Why does AI video detection matter in 2026?
A: Over 8 million deepfakes were shared online in 2025, deepfake fraud cost $410M in H1 2025 alone, and from 2 August 2026 the EU AI Act (Article 50) requires deepfakes to be clearly disclosed — with fines up to EUR 15M or 3% of global turnover for transparency violations. Verification is now an operational requirement, not a nice-to-have.
Q:How much does it cost?
A: Pay-per-scan with no subscription. Deepfake/face-swap scans: 15 credits (~$0.47). Full video scans: 20 credits (~$0.62). Credits start at $4.99 for 200 and never expire.
Last updated: June 2026 | 5 frequently asked questions
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