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Cyanite.ai

Music tagging and similarity search

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What Cyanite.ai is

Cyanite.ai is a search and organisation service rather than a generator. Its homepage describes automatic music tagging and similarity search, and its listed audiences are publishers, music libraries, audio branding teams, distributors and radio or retail operations, all of which manage catalogues too large for manual metadata work.

What you can do with it

  • Tag an existing catalogue automatically
  • Search for tracks similar to a reference piece
  • Support sync and branding teams with candidate lists
  • Detect characteristics described as AI music detection
  • Reduce the manual metadata burden

Who it is for

  • Rights owners with large libraries
  • Distribution and radio operations
  • Music technology teams building discovery features

What to watch out for

  • Whatever a detector says about AI-generated music is a probabilistic signal, not a verdict; do not use it to punish or accuse artists
  • Automated tagging still mislabels genres, especially hybrids
  • Enterprise-focused means onboarding and integration work before value appears
  • Catalogue data is uploaded, so check processing terms and retention

Pros & cons

✓ What we like

  • Practical catalogue-scale metadata work
  • Similarity search suits sync and branding tasks
  • Clear enterprise positioning

! What to watch out for

  • Detection output should not be treated as fact
  • Mislabelling remains possible
  • Integration effort is required

FAQ

Does it make music?

No. It tags and retrieves existing music.

Who needs it?

Rights owners, libraries, distributors and radio or retail catalogue teams.

How reliable is AI music detection?

Treat any detection result as a signal requiring human verification rather than proof.

Last reviewed: 2026-09-18

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