Cyanite.ai
Cyanite.ai applies artificial intelligence to music collections, automatically generating detailed metadata, crafting concise descriptions, and enabling multiple search methods.
About this tool
Cyanite.ai processes audio files to create structured metadata without manual input. By analyzing rhythm, harmony, instrumentation, and lyrical content, the system produces tags that describe genre, mood, tempo, and other musical attributes, helping users organize and retrieve tracks efficiently.
Beyond tagging, the platform extracts brief textual descriptions of each track and supports several search modalities. Users can locate music by providing a reference track, entering keywords, or typing free‑form queries, receiving lists of songs that match the requested criteria.
What you can do
Automatic Tag Generation
Upload a song and receive a set of metadata tags that capture genre, mood, instrumentation, tempo, and other relevant characteristics, reducing the need for manual annotation.
AI‑Created Song Summaries
The system produces a short, human‑readable description of each track, summarizing its style, lyrical themes, and notable sonic elements for quick reference.
Multi‑Mode Music Search
Search the catalog by providing a reference track for similarity matching, entering specific keywords, or typing free‑text queries, and obtain a ranked list of matching songs.
Who is it for?
- A streaming service curates playlists by automatically tagging new releases, allowing editors to filter tracks by mood or tempo without listening to each song.
- A record label archives its back‑catalog, using AI‑generated descriptions to populate its internal database, making it easier for licensing teams to locate suitable tracks for film or advertising.
- An independent DJ searches for tracks that sound like a reference song, using similarity search to discover hidden gems that fit a set’s energy and style.
Before you choose
How does the platform handle copyrighted material, and what permissions are required for processing third‑party audio files?
What level of accuracy can users expect for genre or mood tags, especially for experimental or cross‑genre recordings?
Frequently asked questions
What file formats can be processed for auto‑tagging and description?
Cyanite.ai accepts common audio formats such as MP3, WAV, FLAC, and AAC. The system extracts audio features directly from the file, then returns metadata and a brief description without requiring additional conversion steps.
Can the similarity search be limited to a specific time period or region?
The similarity algorithm focuses on audio characteristics rather than metadata like release date or geography. Users can combine similarity results with external filters if they need to restrict results by era or location.
Is it possible to customize the set of tags that the auto‑tagging feature produces?
Cyanite.ai provides a default tag set covering genre, mood, tempo, instrumentation, and vocal presence. While the core system does not expose a tag‑customization interface, users can post‑process the output to add or remove tags according to their own taxonomy.
Check the official website for current features, pricing, and terms.
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