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Products

Auto-Tagging

Tag millions of songs within minutes with unprecedented accuracy.

01

Auto-Tagging

Automatically get metadata for your songs.

Streamline your music library management, enhance discoverability for playlist curation or licensing, and save valuable time and resources. Experience the efficiency and accuracy of AI-powered music tagging with Cyanite.

Automatically get metadata for your songs.

Streamline your music library management, enhance discoverability for playlist curation or licensing, and save valuable time and resources. Experience the efficiency and accuracy of AI-powered tagging with Cyanite.

Beyond Tags

Auto-Descriptions 

02

Auto-Descriptions

By analyzing audio features and patterns, the AI crafts summaries of your music that provide deeper context and enhance our tagging – without relying on external LLMs. Elevate your music library with precise & objective Auto-Descriptions ideal for licensing, playlisting, and catalog management.

By analyzing audio features and patterns, the AI crafts summaries of your music that provide deeper context and enhance our tagging – without relying on external LLMs. Elevate your music library with precise & objective Auto-Descriptions ideal for licensing, playlisting, and catalog management.

Benefits

Why Cyanite tagging? 

Speed

Puzzle pieces

Cyanite tags thousands of songs in minutes saving you time, effort, and resources. Reduce your tagging backlog, legacies, and bring new content into your music library quicker.

Industry Standard

Puzzle pieces

With over 35M songs tagged, Cyanite is the most adopted tagging taxonomy worldwide. Join the industry standard for better acceptance and collaboration in and outside your organization.

Accuracy

Puzzle pieces

To capture every nuance of the song, you have to hear it from the beginning to the end. Cyanite scans through the entire song making sure every influence, mood-change, or instrument is captured.

Speed

Puzzle pieces

Cyanite tags thousands of songs in minutes saving you time, effort, and resources. Reduce your tagging backlog, legacies, and bring new content into your music library quicker.

Industry Standard

Puzzle pieces

Manual tagging may be biased by who’s tagging, their form of the day, or personal preferences. Cyanite gives your tagging the objectivity and consistency your team needs for a unified understanding of your catalog.

Accuracy

Puzzle pieces

To capture every nuance of the song, you have to hear it from the beginning to the end. Cyanite scans through the entire song making sure every influence, mood-change, or instrument is captured.

Cyanite’s Auto-Tagging hasn’t replaced our expertise - it’s become an invaluable assistant, helping us tag music faster, more consistently, and with greater depth. It enriches our workflow, allowing us to focus on the creative and strategic aspects of music placement.

MediaTracks – William Saunders, Co-Owner & Creative Director

Cyanite’s Auto-Tagging has completely enriched my work as a tagging specialist. Instead of replacing what I do, it acts as a powerful assistant - helping me tag music faster, more consistently, and with deeper insights.

MusicMind CO – Reggie Amabile, Music Tagger

Classifier

Tagging Taxonomy 

How it works

Cyanite analyzes only the audio content of a file and does not process any embedded metadata.

A minimalist illustration of a rocket with a sleek white body, black fins, and a circular window with a gradient purple and blue hue.

01 MP3 to Spectrogram

We convert the uploaded MP3 into a spectrogram, turning sound into an image – this serves as the foundation for our analysis.

A minimalist illustration of a rocket with a sleek white body, black fins, and a circular window with a gradient purple and blue hue.

02 Computer Vision

Just as we hear patterns in music, our AI sees learned patterns in the spectrogram.

A minimalist illustration of a rocket with a sleek white body, black fins, and a circular window with a gradient purple and blue hue.

03 Generating Music Tags

The model outputs a set of tags that describe the music. Post-processing then refines the results for greater accuracy.

How it works

Cyanite analyzes only the audio content of a file and does not process any embedded metadata.

A minimalist illustration of a rocket with a sleek white body, black fins, and a circular window with a gradient purple and blue hue.

01 MP3 to Spectrogram

We convert the uploaded MP3 into a spectrogram, turning sound into an image – this serves as the foundation for our analysis.

A minimalist illustration of a rocket with a sleek white body, black fins, and a circular window with a gradient purple and blue hue.

02 Computer Vision

Just as we hear patterns in music, our AI sees learned patterns in the spectrogram.

A minimalist illustration of a rocket with a sleek white body, black fins, and a circular window with a gradient purple and blue hue.

03 Generating Music Tags

The model outputs a set of tags that describe the music. Post-processing then refines the results for greater accuracy.