AiVidect
How AI Video Detection Works
Our advanced neural network analyzes multiple signals to detect AI-generated content including Sora 2, Veo 3, Kling, Runway, and deepfakes with industry-leading accuracy.
Analysis Approach
Our visual analysis is based on an EfficientNet convolutional neural network architecture designed to detect fine-grained visual inconsistencies across video frames. The system examines temporal patterns and spatial artifacts that indicate synthetic generation.
Visual Analysis
Convolutional neural network trained on diverse datasets of authentic and synthetic video content.
Temporal Attention
Analyzes frame-to-frame consistency and temporal artifacts that AI generators struggle to maintain.
Multi-Modal Analysis
Examines facial movements, lighting inconsistencies, edge artifacts, and compression patterns.
Real-Time Processing
Optimized for fast analysis while maintaining consistent evaluation quality across submissions.
Privacy-First
Videos are deleted immediately after analysis. We never store or retain your video content.
Probabilistic Scoring
Provides confidence scores rather than binary results, allowing for nuanced interpretation.
How It Works
Video Upload & Preprocessing
Your video is securely uploaded and preprocessed. We extract 16 uniformly sampled frames across the video duration to capture temporal information.
Frame-Level Feature Extraction
Each frame is analyzed by our EfficientNet backbone to extract deep visual features, focusing on facial regions, edges, and compression artifacts.
Temporal Consistency Analysis
Our attention mechanism analyzes how features evolve across frames, detecting unnatural transitions and temporal inconsistencies.
Confidence Scoring
The model outputs a probability score indicating the likelihood of AI manipulation. Scores above 80 percent suggest likely fake, below 40 percent suggest authentic.
Automatic Cleanup
After delivering results, videos are deleted immediately. Your privacy is always respected.
Detection Performance
Our system achieves high accuracy across diverse content types, evaluated on standard research benchmarks including FaceForensics++, Celeb-DF, and DFDC.
- Face Swap Detection Strong
- Face Reenactment Strong
- Audio-Driven Synthesis Moderate
- Full Synthetic - Sora 2, Veo 3, Kling Active Development
Note: Detection accuracy depends on video quality, compression, and generation method. Newer AI generators present ongoing detection challenges. Results should be interpreted as indicators, not definitive proof.
Ready to Detect AI-Generated Videos?
Start analyzing videos with our enterprise-grade detection platform