7 forensic engines. Zero false confidence.
Each engine attacks a different dimension of the audio. Together, they form the most comprehensive AI detection system in music.
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Spectral Analysis
FFT frequency patterns that AI generators leave behind
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Voice Biometrics
Pitch jitter, shimmer, and micro-variation detection
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Temporal Forensics
Rhythmic consistency patterns impossible for humans
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Stem Isolation
Separate vocals from instruments to scan independently
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Compression Signatures
Encoding artifacts unique to AI synthesis pipelines
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Neural Recognition
Deep learning model trained on 50+ AI generators
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Cross-Platform Intel
ISRC, UPC, label, and metadata from 10+ databases
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Voice Clone Detection
Identifies deepfake vocals and AI voice cloning