SONOTELLER

Summarize songs, analyze and autotag lyrics and music, identify the golden minute of a song, including chorus.

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About SONOTELLER

SONOTELLER is an AI-powered engine designed to analyze and interpret music files by extracting detailed information about both lyrics and musical properties. The tool provides users with a comprehensive breakdown of songs, including summaries of lyrics, language detection, explicit content warnings, genre classifications, instrument identification, and mood analysis. It also identifies the ‘golden minute’—a segment of the track that best represents its essence—along with other key attributes to enhance understanding and organization of music collections. SONOTELLER is particularly useful for music lovers seeking deeper insights into their favorite tracks, as well as industry professionals like artists, producers, and distributors who need to manage and categorize music data efficiently. By offering structured metadata, the tool facilitates better searchability and discovery across digital service providers (DSPs) and music distribution platforms. Its capabilities extend to improving playlist curation, recommendation systems, and catalog management for both personal and professional use. The platform aims to bridge the gap between raw audio and meaningful, actionable information for users at all levels of engagement with music.

Key features

Summarize songs
Analyze and autotag lyrics and music
Identify the 'golden minute' of a song, including chorus

Use cases

Music lovers can better understand and organize their music collections
Industry professionals can manage music catalogs and data more efficiently
Search engines and music distribution channels can be empowered to provide better music discovery

Pros

Provides comprehensive song analysis including lyrics, genres, subgenres, moods, instruments, BPM, and key
Identifies the 'golden minute' or highlights of a song, such as the chorus
Flags explicit content and recognizes song language
Enhances music metadata for improved discoverability on DSPs and streaming platforms
Offers API integration for automated music tagging and catalog management at scale

Cons

Currently in beta, which may lead to occasional issues or delays in analysis
YouTube videos are used for demo purposes only; analyzing owned music files requires API integration
Limited public information on pricing, scalability, or performance benchmarks

Frequently asked questions about SONOTELLER

What does SONOTELLER do?

SONOTELLER is an AI engine that analyzes music files to generate a comprehensive profile of a song, including lyrics and musical attributes such as genres, subgenres, moods, instruments, BPM, key, and explicit content flagging.

Who is SONOTELLER designed for?

It is designed for music lovers, industry professionals, music supervisors, content companies, labels, and publishers who need to organize, analyze, and enhance the discoverability of their music catalogs.

How can I use SONOTELLER to analyze a song?

Users can search for an artist and song title or paste a YouTube URL into the search box on SONOTELLER.AI, and the tool will analyze the song in under a minute. For owned music files not on YouTube, the API can be used for integration.

Does SONOTELLER offer an API for bulk music analysis?

Yes, SONOTELLER provides dedicated API endpoints for music, lyrics analysis, and section tagging, allowing users to automate music catalog tagging and integrate it into their workflows.

Can SONOTELLER help with music distribution and metadata compliance?

SONOTELLER can enhance music metadata with DDEX-compliant lyrical themes and other attributes, improving discoverability on streaming platforms and aiding in catalog delivery to DSPs.

Is there a special offer for music labels and publishers?

Yes, SONOTELLER offers a discount of up to 50% for music labels and publishers interested in using the API to organize and optimize their music catalogs.