AI Provenance Tracker
Detect AI-generated content across text, images, audio, and video. Get explainable confidence scores with full signal breakdowns — not black-box verdicts.
GPT-4, Claude, Llama detection via perplexity, burstiness, and DistilRoBERTa
DALL-E, Midjourney, Stable Diffusion detection via FFT and CNN analysis
AI speech detection via spectral flatness, dynamic range, and zero-crossing
Deepfake detection via container signatures and byte-pattern analysis
Try It
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How It Works
A multi-signal detection engine that analyses content through multiple independent techniques and combines them into an explainable confidence score.
Multi-Signal Analysis
Combines perplexity, burstiness, vocabulary distribution, and ML classifiers into a weighted confidence score — not just a binary yes/no.
Explainable Results
Every detection returns a signal-by-signal breakdown showing exactly why content was flagged, making results transparent and auditable.
Multi-Provider Consensus
Aggregates results from internal detectors and external providers (Copyleaks, Reality Defender, C2PA) with configurable weighting.
Public Benchmark
Reproducible evaluation framework with ROC-AUC, calibration ECE, and Brier score across detection, attribution, and tamper robustness tasks.
Deploy Anywhere
Docker Compose for local, Helm charts for Kubernetes, Terraform IaC for AWS — production-ready with API/worker process splitting.
Open Source
MIT licensed. Full detection methodology documented. Self-host, audit, and extend with complete transparency.
Detection Pipeline
Explore the Platform
Browse the analytics dashboard, review detection history, or check the API documentation.