Cyanite

AI solutions for the people who pioneer how we search and discover music

Cyanite is an AI solution tailored for the music industry, designed to transform how individuals and organizations search, discover, and categorize music.

It offers a suite of AI-powered tools including Auto-Tagging, which automatically generates comprehensive metadata for songs or music catalogs in just seconds — covering aspects like genre, mood, instruments, and tempo. There’s also Auto-Description, which provides text-based descriptions of music, and the Similarity Search feature for finding songs with a similar vibe or style to a reference track.

Beyond this, we also have Keyword Search with an extensive vocabulary of 1,500 keywords, ensuring precise music discovery tailored to specific preferences or project requirements. In addition, Cyanite offers the Free Text Search to allow users to search for music using their own words and descriptions.

The tool also offers data visualization tools to showcase music trends and insights, aiding in pitches, marketing strategies, and content development. The platform supports a web app for individual users and an API for larger music companies — providing seamless integration into existing catalog platforms or Catalog Management Systems (CMS).

Homepage Screenshot 📸

Video Overview 🎬

What are the key features? ✨

Auto-Tagging: analyzes full audio to assign consistent metadata including genre, mood, energy, tempo, key, instruments, vocals, and era.
Similarity Search: finds and ranks tracks sonically similar to a reference using audio embeddings, with additional filters.
Free Text Search: retrieves tracks matching natural language descriptions of desired sound or vibe.
Auto-Descriptions: generates concise, neutral textual summaries capturing a track's musical essence and feel.
Integrations & API: connects with major music CMS platforms and allows custom embedding via scalable API.

Who is it for? 🤔

Cyanite helps music publishers, sync agents, libraries, streaming platforms, labels, and content creators who manage large audio catalogs. It's especially useful for professionals needing fast, reliable ways to organize, search, and match music for licensing, playlists, recommendations, or production briefs. Teams handling thousands of tracks benefit most from its scaling and consistency.

Examples of what you can use it for 💡

Music Publisher: uses Similarity Search and filters to quickly locate sync-ready tracks that match client briefs by sound and mood.
Sync Marketplace Operator: applies Auto-Tagging to enrich catalogs, making them more discoverable for instant delivery to buyers.
Label or Distributor: integrates the API to add intelligent metadata and search layers into their internal tools or client portals.
Content Creator or Supervisor: runs Free Text Search to find fitting music for video, ads, or film without endless manual browsing.
Playlist Curator: leverages Auto-Descriptions and similarity to build cohesive sets based on sonic characteristics rather than popularity.

Pros & Cons ⚖️

Consistent, deep audio tags
Powerful similarity search
Natural language querying
Scales to large catalogs

Limited free tier uploads
Geared toward pros

FAQs 💬

What file formats does Cyanite support for upload?

It primarily handles MP3 files, though support exists for others; contact support for non-MP3 formats.

Is there a free way to try Cyanite?

Yes, register for a free account at Cyanite's website with limited uploads and analyses per month to test features.

Does Cyanite work for individual artists or just big companies?

It serves both, though its scaling and depth suit larger catalogs best; solo users can start small with the web app.

How accurate is the Auto-Tagging compared to manual work?

It provides high consistency across tracks using AI trained on vast data, often outperforming variable human tagging for objective traits like tempo or energy.

Can I integrate Cyanite into my existing music system?

Yes, via API for custom builds or direct plugins with systems like Source Audio, Reprtoir, or Synchtank.

Does search consider artist popularity or just audio content?

It focuses purely on sound characteristics, not popularity, which helps surface lesser-known tracks fairly.

What kinds of metadata tags does it generate?

Tags cover genre, sub-genre, mood, energy, tempo, key, instruments, vocals, era, dynamics, and more.

How long does analysis take for a track?

Usually seconds to minutes per track, with large batches processed efficiently in hours.