Our deep learning-based detection platfrom analayzes audio and video to uncover subtle signs of synthetic generation through multi-dimensional forensic analysis.
Advanced forensic examining every frame
for synthetic manipulation
patterns
Our system employs three complementary detection approaches to analyze spatial, temporal, and combined spatiotemporal features, ensuring the highest level of accuracy in modern content verification.
Frame-by-frame examination analyzing individual images for inconsistencies in texture quality, edge sharpness, and lighting distribution.
Cross-frame analysis tracking facial landmarks over time to identify unnatural movements, jitter, or inconsistent facial structures.
Unified analysis combining spatial and temporal features to compare internal facial consistency against background motion.
Heatmaps reveal the specific artifacts and anomalies in deepfake content, showing exactly where manipulation occurs.
Video isn't just about frames. Our comprehensive analysis extends to audio streams, detecting AI-generated voices, speech manipulation, and audio deepfakes with the same precision we apply to visual content.
Real-time detection