Last updated 07-28-2026
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SONOTELLER.AI
SONOTELLER.AI analyzes songs by examining both lyrics and musical elements to provide a detailed profile of each track. It identifies genres, subgenres, moods, instruments, BPM, and key signatures. The tool also detects the language of the lyrics and flags explicit content to help manage music libraries effectively.
What sets SONOTELLER.AI apart is its ability to pinpoint the "golden minute" of a song, highlighting the most impactful segment such as the chorus. It offers flexible integration options including an API for bulk music tagging and no-code solutions like Google Colab Notebook, catering to users with varying technical skills.
SONOTELLER.AI supports industry standards like DDEX, making it suitable for music labels, publishers, and catalog managers who need to organize and deliver music metadata efficiently. Its comprehensive analysis aids in music discovery, playlist creation, and audience profiling, enhancing the overall music management experience.
🎵 Detailed Song Breakdown: Provides metadata on genres, subgenres, moods, instruments, BPM, and keys for each track.
🕒 Golden Minute Detection: Automatically identifies the most impactful part of a song, often the chorus.
🚦 Explicit Content Flagging: Detects and marks explicit lyrics to help manage content appropriately.
🔗 API Access: Offers API integration for bulk music tagging and direct workflow integration.
🛠️ No-Code Integration: Supports tools like Google Colab Notebook for users without programming skills.
💾 Average Analysis Time: Processes both lyrics and music in about 1 minute per song.
📉 Beta Status: Currently in beta, which may result in occasional issues or delays.
Provides detailed and accurate song metadata for better cataloging
Supports industry standards like DDEX for catalog delivery workflows
Offers flexible integration options including API and no-code tools
Helps identify key song moments for enhanced music discovery
Flags explicit content and detects language automatically
Currently in beta, which may lead to occasional issues
Limited free tier with usage caps
What does SONOTELLER.AI analyze in songs?
SONOTELLER.AI analyzes songs by providing detailed metadata including genres, subgenres, moods, instruments, BPM, key, language detection, and explicit content flagging.
Can I use music from YouTube for analysis on SONOTELLER.AI?
YouTube videos can be used for demo purposes on SONOTELLER.AI. For tagging your own music files, you need to use the SONOTELLER API.
Does SONOTELLER.AI offer API integration?
Yes, SONOTELLER.AI provides an API that allows integration of music analysis features into existing catalog management workflows.
Is SONOTELLER.AI fully developed?
SONOTELLER.AI is in beta, so users may experience occasional issues or delays during analysis.
Is there a special offer for music industry professionals using SONOTELLER.AI?
Music labels and publishers can receive up to a 50% discount when using the SONOTELLER API for organizing music catalogs and optimizing delivery to DSPs.
How does SONOTELLER.AI help with music catalog management?
SONOTELLER.AI automatically tags music files with detailed metadata, improving organization and facilitating delivery to streaming platforms.
Can I use SONOTELLER.AI without coding skills?
Yes, SONOTELLER.AI offers no-code integration options such as Google Colab Notebook for users without programming experience.