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Transform music catalogs into searchable assets with AI-driven tagging and semantic discovery.

Cyanite is a leading AI-powered music tagging and search platform designed for the music industry, specifically targeting labels, publishers, sync agencies, and streaming services. Its technical architecture leverages deep learning and convolutional neural networks (CNNs) to analyze audio spectrograms, extracting over 400 distinct metadata tags including mood, genre, sub-genre, instrumentation, and tempo. By 2026, Cyanite has solidified its market position as the industry standard for 'Semantic Music Search,' allowing users to find tracks through natural language prompts rather than rigid keyword structures. The platform's 'Acoustic Similarity' engine allows for fingerprinting tracks to find 'sounds-like' matches within a fraction of a second, regardless of the library size. Its 2026 roadmap emphasizes the integration of generative metadata that predicts commercial success and sync-ability for film and advertising. The system operates primarily as an API-first solution for enterprise scalability, while offering a robust web interface for manual catalog management. It bridges the gap between raw audio files and structured data, enabling automated licensing workflows and hyper-personalized user recommendations for DSPs.
Cyanite is a leading AI-powered music tagging and search platform designed for the music industry, specifically targeting labels, publishers, sync agencies, and streaming services.
Explore all tools that specialize in similarity search. This domain focus ensures Cyanite delivers optimized results for this specific requirement.
Uses NLP to translate descriptive text (e.g., 'uplifting indie pop for a car commercial') into acoustic vector queries.
Compares the waveform and harmonic structure of a reference track to find similar songs in the database.
Maps tracks onto a 2D valence-arousal scale to determine precise emotional movement.
AI-driven separation analysis to determine presence and type of vocals.
Automated detection of musical key, scale, and precise tempo tracking.
Generates 400+ labels including instrumentation, sub-genres, and production style.
Direct export of AI-generated tags into industry-standard formats for DDEX or library ingestion.
Create a developer account on the Cyanite.ai portal.
Generate a unique API Key from the dashboard settings.
Define the 'Analysis Profile' to select specific metadata tags (Mood, Genre, BPM) required.
Upload audio files via the web interface or POST audio URLs to the API endpoint.
Monitor the processing status through the 'Analysis' queue.
Retrieve the JSON-formatted metadata object once analysis is complete.
Configure 'Similarity Search' indices for your entire catalog.
Integrate the 'Semantic Search' input field into your front-end application.
Set up Webhooks to receive real-time notifications for completed batch uploads.
Perform a final quality audit using the Cyanite Web App to verify tag accuracy.
All Set
Ready to go
Verified feedback from other users.
"Users highly praise the similarity search and semantic discovery, noting it significantly reduces search time in sync workflows. Some users suggest improvements for very niche sub-genres."
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