SONOTELLER.AI
Analyze songs to uncover hidden musical insights and lyrical themes

Overview
SONOTELLER uses AI to analyze both lyrics and music elements in songs, creating detailed reports about genres, moods, instruments and lyrical content. It helps music professionals and enthusiasts better organize catalogs, improve discoverability on streaming platforms, and understand song structure through features like identifying the 'golden minute' highlight section.
Key Features
Golden Minute
Identifies highlight sections like choruses in songs
Multi-Attribute Analysis
Detects genres, moods, BPM, instruments and vocal types
Automated Tagging
Generates DDEX-compliant metadata for catalog management
API Integration
Enables bulk analysis for music labels and publishers
Use Cases
Manage music catalogs automatically
Streamline metadata for DSPs
Analyze song structure elements
Identify track highlights for playlists
Pros & Cons
Pros
- Combines lyric and music analysis in one tool
- Partnership with Chordal enhances industry credibility
- API enables bulk processing for large catalogs
- Identifies unique elements like 'golden minute'
Cons
- In beta with potential technical issues
- Requires YouTube links for demo analysis
- No desktop apps or mobile platforms supported
Frequently Asked Questions
How do I test SONOTELLER?
Search by artist/song title or paste a YouTube URL to analyze
Can I analyze my own music files?
Contact [email protected] for API access to analyze owned files
Is there an industry discount?
Music labels/publishers get up to 50% discount through special offer