Built for compressed social media content — not pristine lab videos.
Deep multi-layer feature extraction captures both low-level textures and high-level semantics that survive social media compression.
Proprietary classification pipeline with calibrated confidence scoring — optimized for maximum accuracy on compressed video.
Analyzes patterns across video frames for robust detection that handles heavy re-encoding by social platforms.
Trained on outputs from the latest AI video generators — including post-compression variants as they appear on social media.
Provides confidence scores and detection signals — know not just the verdict but how decisive the analysis is.
Hardware-accelerated inference makes analysis fast enough for real-time use — under 3 seconds per clip.
Dedicated inspection view with frame-by-frame zoom and heatmap comparison so users can validate model findings with transparent visual evidence.
A single CLI command is all it takes. SeeThrough outputs structured JSON — perfect for pipeline integration, CI checks, or content moderation workflows.
Drop a TikTok video file or link. Supported formats: mp4, mov, webm. Max 300 MB.
Multiple frames are sampled and analyzed through our deep semantic pipeline to extract meaningful patterns.
Our ML classifier trained on hundreds of real and AI-generated social media clips outputs a confidence score with the final verdict.
ML · Backend
Web · Frontend