Deepfake Video Detector
Detect AI-generated videos in under 60 seconds.
Spot AI-generated and manipulated videos before they become a risk. Upload MP4, MOV, WEBM files and get a detailed report instantly. No complicated setup, just fast analysis with clear, actionable results.
Three steps from file to verdict.
Upload your video
Drag and drop or browse for MP4, MOV, WEBM files, up to 200 MB. No technical setup. Agree to the terms and get a verdict in under a minute.
AI-powered analysis
The detector runs a deep scan across several forensic and biological signals at once.
- Facial
- Blink patterns, micro-expressions, and lip-sync consistency
- Motion
- Motion artifacts and temporal inconsistencies across frames
- Generators
- Fingerprints matched against HeyGen, Sora, RunwayML, and more
Get your verdict
A verdict, a detection summary, and a confidence score, with an overview of the suspect regions detected in the file.
Likely Synthetic (High) means strong evidence of AI manipulation. Likely Synthetic (Low) suggests further review. Real (no AI) means no synthetic media was detected.
Who uses the deepfake video detector.
Six teams that verify a video before the decision that follows.
Banks & financial institutions
Verify customer-verification videos, reduce impersonation fraud, and strengthen identity checks during onboarding and high-value transactions.
Enterprise security teams
Catch deepfake videos before they become part of phishing attempts, executive impersonation scams, or internal security incidents.
Law enforcement agencies
Review suspicious digital evidence and identify videos that show signs of synthetic manipulation during investigations.
KYC verification teams
Improve digital onboarding by identifying face swaps and AI-generated identity videos before they enter verification workflows.
News & media organizations
Confirm the authenticity of user-generated videos before publication and reduce the risk of spreading manipulated content.
Compliance & risk teams
Add another layer of verification to existing fraud-prevention processes and strengthen trust across business operations.
Why this detection matters.
Deepfake video has moved from novelty to a working fraud tool. The losses are documented.
In 2024, a finance worker at a Hong Kong multinational joined a video call where every colleague on screen, including the CFO, was a deepfake. He approved 15 transfers worth roughly $25.6 million before anyone realized the only real person on the call was him.
The FBI has warned that criminals now use generative AI to make these schemes more convincing and easier to run at scale. A recorded video that looks and sounds right is no longer proof that the person on it is real.
Verify the video before you act on it.
Why use the Diopter deepfake video detector.
Fast, secure, and tuned to the way synthetic media actually fails.
AI-powered video analysis
Advanced models process uploads in under a minute and return a verdict with a confidence score, so you can decide quickly.
Face-swap and forensic detection
Forensic analysis catches visual anomalies, expression mismatches, and synthetic artifacts that manual review tends to miss.
Trained against the tools attackers actually use.
Retrained against updated generator outputs before a new model reaches widespread deployment.
Explore other deepfake detection tools.
Same detection stack, tuned for each kind of media.
Deepfake Audio Detector
Detect cloned voices and synthetic speech by evaluating pitch, formants, and spectral patterns against known AI signatures.
Analyze audioDeepfake Image Detector
Check images for AI generation and manipulation using generator fingerprints, pixel irregularities, and suspect-region analysis.
Scan an imageDeepfake Video Detector FAQ.
Real-time deepfake video defense for live calls.
The detector you just used is part of the Diopter platform, built for live-call video and voice defense on Zoom, Teams, Meet, and phone calls, with conversation scoring and high-volume batch processing.