Industrial-grade audio governance & deep music analysis

Industrial-grade audio governance, unlock your music library's true potential

Pure Lab:AI Music Manager is an industrial-grade audio governance tool for serious music lovers. Powered by lightweight on-device AI models, it delivers BPM analysis, Camelot Key detection, genre/mood/instrument recognition, and deep music understanding to build a truly discoverable hi-fi library.

Product Showcase

Feature set

BPM analysis

Automatically analyze track BPM with batch scanning for precise tempo data for DJ mixing.

Camelot Key detection

Intelligent key and BPM detection with Camelot Wheel labeling for compatible track mixing.

Genre, mood & instrument detection

AI-driven music understanding with genre, mood, and instrument tagging.

HiFi source analysis

HiFi quality detection, scoring, and cutoff frequency analysis.

Batch tag editing

Professional-grade tag editing, batch processing, and draft management for entire library organization.

Industrial-grade version control

Permanently save all change records with single/batch rollback. Restore entire libraries with one click even with 10,000+ tracks.

Industrial-grade snapshots & disaster recovery

One-click restore of entire library after large modifications. Industrial-grade disaster recovery for 10,000+ track libraries.

Cross-platform desktop

Available on both macOS and Windows with a consistent workflow.

Who it is for

  • Users with large local music collections needing efficient metadata organization
  • Users seeking precise tags (Key, BPM, Genre) for DJ mixing or production
  • Audiophiles who value privacy and do not want music files uploaded to the cloud

FAQ

Does analysis require internet?

No. AI models are bundled in the app and all analysis runs locally on your device.

Which audio formats are supported?

Supports major lossless and lossy formats: FLAC, MP3, AAC, WAV, OGG, APE, DSF, DFF, etc.

Support and feedback

You can reach us via email feedback@efficient-lab.com or submit issues and suggestions through GitHub Issues.