The AuthentiLens Deepfake Video Detector analyzes uploaded video clips for signs of facial manipulation, AI-generated video, and synthetic media. The detector extracts key frames from the video, then runs each frame through GPT-5 multimodal analysis and specialized deepfake-detection models trained on today's face-swap and AI video generation patterns.
Deepfake video technology can replace one person's face in a video with another person's face using AI, making it appear someone said or did something they never did. Deepfake videos are used in fake celebrity investment scams, non-consensual impersonation, political misinformation, and business fraud where a fabricated video of an executive appears to authorize a transaction or endorse a product.
The detector checks for visual signals that current deepfake methods leave behind. Common tells include facial boundary blurring or flickering at the edge where the swapped face meets the original video, unnatural eye movement and blink rate that does not match natural human patterns, lip-sync errors where the mouth movement does not precisely match the audio, inconsistent skin tone as lighting changes across the scene, and background distortions near the face that face-swap models often create.
Common uses include checking viral social media video clips before you share them, verifying video messages from contacts before acting on what they say, checking news clips that seem extraordinary or conflict with reporting elsewhere, and reviewing video evidence in business or personal disputes before relying on it.
The detector works across MP4, MOV, and common video formats. Results are based on frame-by-frame analysis. Very low-resolution or heavily compressed video may produce less reliable results because compression removes the fine-grain visual artifacts that indicate manipulation.
Every result includes a risk verdict, confidence level, and explanation of which visual signals were found. For checking just the audio track of a suspicious video, use the AI Voice Detector for a separate audio-focused analysis of voice synthesis patterns in the recording.