We are thrilled to announce that SONOTELLER is joining Chordal.
Please read this blog announcement to learn more.
SONOTELLER is an experimental AI music analysis engine set to simplify the way music lovers understand and organize their music. Capable of 'listening' to music files, SONOTELLER’s Lyrics and Music Analysis produces a comprehensive profile of a song’s summary, language recognition, explicit content flagging, genres and subgenres, instruments played, moods, and beyond. Through its recent partnership with Chordal, SONOTELLER’s features have risen to even greater heights, streamlining the process for Music Supervisors and Content Companies.
With SONOTELLER, music lovers and industry professionals can better manage their music catalogs and data with automatic tagging, making their music easier to understand and discover across multiple DSPs while empowering search engines, playlist creation, recommendations, audience profiling, and more.
As seen on
HOW TO TEST SONOTELLER
Just search for an artist and song title in the search box, or paste a song’s YouTube URL into the search box of SONOTELLER.AI, and in less than a minute, SONOTELLER will analyze it.
YouTube videos are used for demo purposes only. If you need to tag your own music and it's not hosted on YouTube, please check the next section.
AUTOMATE MUSIC ANALYSIS AND TAGGING WITH SONOTELLER API
Looking for music auto-tagging? If you want to analyze your music catalog and perform music tagging at scale, drop us a line at hello@sonoteller.ai and tell us about your use case. SONOTELLER has dedicated API endpoints for music, lyrics analysis and sections tagging, and can be seamlessly synced with your catalog management workflow.
