Music Origin Analyzer

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Analyze music origin using acoustic detection signals and provenance data. Upload an audio file or provide a Spotify or YouTube reference.

The initial PHP page validates and receives the audio. The detector backend can then normalize the file, split it into segments, run multiple models and combine the result with provenance information.
Supported platforms:

▶ YouTube ● Spotify
Spotify references can be resolved to metadata and matched against an authorized/local master using ISRC. YouTube references can be used for metadata and authorized-source matching.
A URL identifies the release. Acoustic classification becomes stronger when the analyzer can also access the actual authorized audio source and its historical metadata.

What you will get

〰
Origin Score

Human / AI / Hybrid / Uncertain with confidence and stability.

▥
Segment Timeline

Timeline showing where synthetic-like signals appear throughout the track.

◇
Provenance Report

Metadata, release information, credits and historical context.

✣
Model Consensus

Results from several detectors with agreement analysis.

Example report preview

Example Track — Origin Analysis
ISRC: QZ-REV-26-00001
Album: Example Release
Release Date: 2026-08-17  •  Duration: 7:48
ORIGIN RESULT
HUMAN
(High Confidence)
92%
MODEL CONSENSUS
Model A0.18
Model B0.22
Model C0.16
Custom0.14
SEGMENT TIMELINE
Synthetic signal probability
Note: This analyzer is designed for research and informational purposes. Results depend on current detection models and can change as detection technology evolves.