Cyanite

Cyanite is a web app and API for B2B music teams, music libraries, labels, publishers, sync agencies, and large-scale catalog owners. It provides scalable AI-powered music tagging, similarity search, and discovery based on deep audio analysis rather than embedded metadata.

Key capabilities include:

• Auto-tagging from audio — Analyzes full tracks or 15-second segments to extract rich metadata including genre, sub-genre, mood, energy, valence-arousal, instrumentation, BPM, key, meter, voice gender, lyric themes, and more.
• Auto-descriptions — Generates concise, natural-language summaries highlighting a track’s defining musical and emotional characteristics.
• Free Text Search — Allows natural language queries (e.g., “uplifting indie pop with female vocals and acoustic guitar”) to find matching tracks in your catalog.
• Similarity Search — Finds sonically similar tracks based on a reference song, ideal for playlist building, music supervision, licensing, and catalog exploration.
• Multi-format support and batch processing for large music libraries.

Pricing: Enterprise / usage-based (custom pricing).

Notable for tagging music via spectrogram-based audio analysis (not embedded metadata), supporting both a web workflow and integration via API, and reporting adoption by 150+ companies with 45M+ songs tagged.