Combined lyrics and music analysis
Produces a comprehensive summary of a song by analyzing both the lyrics and the music.
SONOTELLER.AI
ClaimSONOTELLER.AI is an AI song analyzer that summarizes lyrics and music, then tags tracks by genres, moods, instruments, BPM and key.
Overview
SONOTELLER.AI is an AI song analyzer that listens to music and generates a structured summary of a track’s lyrics and musical characteristics. The site positions it as a tool for song analysis, lyric analysis, and music analysis, with outputs that help people understand what a song is about and how it is musically described.
It identifies attributes such as genres, subgenres, moods, instruments, BPM, key, language, and explicit content, and it also highlights the “golden minute” of a song. For teams working with larger catalogs, the product offers API endpoints for music, lyrics, and sections tagging so analysis can be incorporated into catalog workflows.
Core capabilities
Automatic song tagging
Identifies musical attributes such as genres, subgenres, moods, instruments, BPM, key, language, and explicit content.
Highlight and chorus detection
Finds the “golden minute” of a track, described on the site as the highlights including the chorus.
Simple song lookup
Supports analysis from an artist/title search or a pasted YouTube URL in the demo flow.
API-based catalog automation
Provides dedicated API endpoints for music analysis, lyrics analysis, and sections tagging.
Catalog enrichment
Supports music discovery and distribution workflows by enriching descriptors for catalog labels and metadata delivery.
Common use cases
Quick song lookup
Use the web demo to look up a track by artist and title or paste a YouTube URL, then review the song’s lyric and music analysis in under a minute.
Catalog tagging and enrichment
Use the metadata output to tag tracks with genres, subgenres, moods, instruments, BPM, key, language, and explicit flags for better organization.
Automated catalog workflows
Use the API endpoints for music, lyrics, and sections tagging when you need analysis to run at scale inside a catalog management workflow.
Highlight discovery
Use the golden minute and chorus identification to find the section of a song most useful for previews or highlights.
Discovery and curation
Use the analysis output to support music discovery, playlist creation, recommendations, and audience profiling.
Pros and Cons
Pros
- Covers both lyrical and musical analysis in one output.
- Identifies several practical metadata fields, including BPM, key, moods, instruments, and language.
- Includes highlight detection for the song’s golden minute, including the chorus.
- Offers API endpoints for automating tagging and sections analysis.
- Supports catalog and DSP-oriented workflows, including DDEX-compliant metadata for industry users.
Cons
- The site says the product is in beta, so it may have random issues and delays.
- The demo flow uses YouTube URLs, but the site notes that API use requires owned music files.
FAQ
How do you test SONOTELLER?
SONOTELLER analyzes a song’s lyrics and music from an artist/title search or a pasted YouTube URL. The site says YouTube videos are for demo purposes only, and that owned music files are needed for API-based analysis.
Can SONOTELLER be used through an API?
The site says SONOTELLER has dedicated API endpoints for music analysis, lyrics analysis, and sections tagging. It can be used to automate music tagging at scale and sync with a catalog management workflow.
What kinds of song attributes does SONOTELLER return?
SONOTELLER can identify genres, subgenres, moods, instruments, BPM, key, language, explicit content, and a song’s golden minute or highlights, including the chorus.
Are there any usage limitations noted on the site?
The pricing page says SONOTELLER is in beta, so users should expect some random issues and delays.
Who is SONOTELLER intended for?
The site presents SONOTELLER as useful for music discovery, catalog labeling, playlist creation, recommendations, audience profiling, and delivery to DSPs with DDEX-compliant metadata.
Quick Facts
- Category
- AI music analysis
- Product type
- Web app with API
- Primary outputs
- Lyrics summary, musical tags, highlights, and metadata fields
- Common inputs
- Artist/title search or YouTube URL in the demo flow
- Notable users
- Music lovers, music supervisors, labels, publishers, and content companies
- Source domain
- sonoteller.ai