SONOTELLER: AI Music and Lyric Analysis
SONOTELLER helps music labels, publishers, and sync professionals organize music catalogs through automated tagging. It supports the creation of DDEX compliant metadata to help improve song discoverability on streaming platforms.
At a glance
- Category
- Data & Analytics
- Best for
- Music Labels, Music Publishers, Sync Licensing Professionals, Music Supervisors, Content Companies
- Pricing
- Pricing was not clearly available from the provided evidence. A discount of up to 50% is mentioned for music labels and publishers. Buyers should confirm current pricing on the vendor website.
- Key use cases
- Catalog Auto-Tagging, Sync Licensing Support, Metadata Enrichment, Content Screening
- Official website
- sonoteller.ai
SONOTELLER is an AI-driven analysis tool designed to evaluate musical and lyrical components of a song. It identifies technical attributes such as BPM and key, while also detecting mood and theme to help professionals categorize their libraries.
The tool is designed for music industry professionals, including labels, publishers, and music supervisors. It supports the enrichment of music descriptors, which may assist in distribution and discovery across digital streaming platforms (DSPs).
For those managing large volumes of content, the platform provides an API to analyze owned music files at scale. This allows for the automated tagging of catalogs rather than manual analysis via the web interface.
Buyers should note that the tool is in beta, which may lead to occasional issues or delays. Those wanting to analyze private files should confirm the API requirements, as the web-based demo uses YouTube URLs.
Key Features
Identifies genres, subgenres, moods, instruments, BPM, and musical key.
Provides language recognition, identifies lyrical themes, and flags explicit content.
Identifies song highlights, including the chorus.
Supports the analysis of owned music files at scale for catalog management.
Provides data intended to help optimize catalog delivery to digital streaming platforms.
Use Cases
Using the API to assign genres, moods, and instruments to a library of owned music files.
Helping music supervisors find songs that match specific moods or themes for media projects.
Generating song profiles to support music discovery on streaming platforms.
Using lyric analysis to identify language and flag explicit content within a music catalog.
Best For
Pricing
Pricing was not clearly available from the provided evidence. A discount of up to 50% is mentioned for music labels and publishers. Buyers should confirm current pricing on the vendor website.
FAQ
It is designed for music industry professionals, including labels, publishers, music supervisors, and sync licensing professionals.
The tool identifies genres, subgenres, moods, instruments, BPM, key, and lyrical themes, and can flag explicit content.
While the web demo uses YouTube, users can analyze their own music files at scale by using the SONOTELLER API.
The vendor provides a special offer of up to a 50% discount for music labels and publishers.
Source category: Data & Analytics
Source subcategory: Analytics & Reporting
