Description
SONOTELLER.AI is an AI-driven music analysis platform that gives users the ability to analyze music and song lyrics. It analyzes music and then compiles a detailed summary, pinpointing musical characteristics like genres, subgenres, moods, instruments, BPM, and key.
The tool also finds the song's most impactful minute, drawing attention to the chorus and other key parts. SONOTELLER.AI is currently in beta, so users might run into occasional problems and slowdowns.
Analyzing both the lyrics and music generally takes about a minute. Users can integrate with SONOTELLER.AI through the RapidAPI platform, using its API endpoints to automate music analysis and tagging at scale. Music enthusiasts and industry experts can use SONOTELLER.AI to better understand and organize their music collections.
The tool offers valuable data on a song's lyrics and musical qualities, such as language identification, flagging of explicit content, primary genres and subgenres, main instruments used, moods, and more.
This automated tagging improves music discoverability and understanding on various digital streaming services. It can be helpful for search engine optimization, creating playlists, suggestions, audience profiling, and other music-related activities. SONOTELLER.AI has been mentioned in Generative Courier, Fast Company, and Digital Trends.
Users can access the tool by entering an artist and song name, or by adding a YouTube video URL into the search field. For users who have their own music files, SONOTELLER.AI provides an API for connecting to catalog management processes.
To inquire about customization and categorization options, get in touch with the SONOTELLER team.
