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Is That Video Real or AI-Generated? - Imagera AI
AI Video Detector

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 per scan · No subscription required

Commercial license500+ AI modelsNo watermarks
  • 16K output
  • 500+ AI models
  • No watermark
  • Commercial license
  • Pay-per-use

By the numbers

  • 96.8% accuracy for AI-generated video detection
  • 99.1% accuracy for deepfake and face-swap detection
  • 20+ video generators and face-swap tools detected
  • Six fused forensic detection methods per scan
  • Results in 10-30 seconds for clips up to 5 minutes

Source: Imagera platform specifications · Updated August 2026

  • What is the Imagera AI Video Detector?

    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.

  • Which video generators and deepfake tools does it detect?

    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.

  • How do I check if a video is AI-generated?

    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.

  • Why does AI video detection matter in 2026?

    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.

  • How much does it cost?

    Pay-per-scan with no subscription. Deepfake/face-swap scans: 15 credits. Full video scans: 20 credits. Credit packs start at $19.99 for 150 credits and never expire.

How It Works

Three steps from suspicious clip to documented verdict. No installation, no subscription, no forensics degree required.

01

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.

02

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.

03

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.

What AI Video Looks Like Now

A real clip produced with Imagera. Modern synthetic video passes casual inspection — which is exactly why a forensic scan beats trusting your eyes.

Real Imagera example — a fully AI-generated clip. Study the motion, then run your own footage through a scan.

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.

01

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.

02

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.

03

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.

04

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.

05

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.

06

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.

07

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.

08

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 Scan

Detection 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.

Imagera AI

AI VideoYes
DeepfakeYes
Source-Model IDYes
Self-ServeYes
Stated Accuracy96.8% video / 99.1% deepfake
PricingPay-per-scan from 15 credits

Sensity AI

AI VideoYes
DeepfakeYes
Source-Model IDNo
Self-ServeNo
Stated Accuracy~95% (vendor-stated)
PricingEnterprise contract

Reality Defender

AI VideoYes
DeepfakeYes
Source-Model IDNo
Self-ServeNo
Stated AccuracyNot published
PricingEnterprise contract

Hive AI

AI VideoYes
DeepfakeYes
Source-Model IDNo
Self-ServeNo
Stated AccuracyNot published
PricingEnterprise API

Deepware Scanner

AI VideoNo
DeepfakeYes
Source-Model IDNo
Self-ServeYes
Stated AccuracyNot published
PricingLimited scans

Attestiv

AI VideoYes
DeepfakeYes
Source-Model IDNo
Self-ServeYes
Stated AccuracyNot published
PricingMonthly 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

Full Video Scan

20 credits

per scan

Starter Pack

$19.99

150 credits — never expire

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.

How do I check if a video is AI-generated?
Quick Answer:

Upload 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, no subscription.

Source: Imagera AI

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.

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.

Built by the Imagera AI team

Built by the Imagera AI Team

AI researchers, engineers & content specialists

Imagera is a unified AI creation platform for images, video, voice and avatars. Outputs ship at up to 16K resolution with no watermark and a commercial license included — choose from 500+ AI models in a single workspace.

16K output500+ AI modelsCommercial license included

Questions

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; deepfake/face-swap scans cost 15 credits. Credit packs start at $19.99 for 150 credits and never expire, and larger packs add bonus credits — $39.99 for 300 credits (+50 bonus). 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.

Ready to Verify a Video?

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 per scan · No subscription required

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