Cyanite is an AI music tagging and search platform for music companies to organize catalogs, enrich metadata, and find tracks by similarity or free-text search.
Cyanite is an AI music tagging and search platform for companies that need to organize large music catalogs and make them easier to search. Its main products focus on auto-tagging, auto-descriptions, similarity search, and free-text search for music discovery workflows.
The source pages describe Cyanite as useful for music licensing, playlisting, catalog management, and catalog ingestion at scale. The platform can be used through a web app, an API, and CSV export options, with a pricing calculator that helps teams estimate subscription and onboarding costs based on catalogue size and feature selection.
Automatically generate tags for songs across genres, moods, instruments, lyric themes, tempo, brand values, and other metadata fields. Cyanite also provides auto-descriptions that summarize a track’s feel in plain language.
Search by sonic similarity to find tracks that sound alike, share a vibe, or fit a similar era. The search tools also support filters such as genre and BPM.
Turn short prompts or detailed requests into song matches with Free Text Search. This supports more natural discovery when users know the kind of track they want rather than a specific reference song.
Upload catalog tracks into a web app library to organize and explore music without coding. The case study describes this as creating a private discovery workspace for a catalog.
Integrate Cyanite into existing systems through its API, with the case study noting daily use for auto-tagging and similarity search inside Marmoset’s workflow.
Use the pricing calculator to choose tracks to onboard, select features, and decide between Web App, Web App + API, or CSV Export access.
Clean up large or growing catalogs by applying consistent metadata across many tracks. This is useful when new signings, acquisitions, or sub-publishing deals need unified tagging.
Help licensing and sync teams find the right songs faster through similarity search, genre and BPM filters, and free-text requests that translate a brief into relevant track matches.
Generate descriptive metadata and plain-language summaries that support playlisting, search relevance, and internal catalog management without manual tagging for every track.
Support product teams that want to expose music discovery inside their own platform, as shown by Marmoset’s use of Cyanite through both web app and API.
Reduce manual review time for teams managing ongoing catalog growth by using automated analysis to tag new uploads and organize them into a searchable library.
Cyanite offers a web app, an API, and a Music CMS path. The pricing page says you can start by entering your catalogue size, selecting features, choosing how you want to use the service, and then downloading an offer or HTML file for the pricing setup.
The source pages show Auto-Tagging, Auto-Descriptions, Similarity Search, and Free Text Search. The pricing page also lists an Advanced Search option and access modes such as Web App, Web App + API, and CSV Export.
Cyanite’s auto-tagging page says the model analyzes only the audio content of a file and does not process embedded metadata. It converts MP3 audio into a spectrogram, uses computer vision on that representation, and then outputs music tags.
The case study with Marmoset says the team uses Cyanite’s API and web app daily for auto-tagging and similarity search, showing it can support both internal workflows and user-facing discovery features.
The source does not publish fixed prices on the public pages shown. The pricing calculator indicates subscription fees, a one-time tagging or onboarding fee, and annual billing savings, but specific amounts are not shown in the provided text.
