SONOTELLER is an AI music analysis engine examining both lyrics and music to generate comprehensive song profiles in approximately one minute, built for anyone needing to understand or organize music at scale.
Lyrics analysis covers summary, mood identification, thematic tagging, language detection, and explicit-content flagging, while music analysis handles genre and subgenre classification, instrument identification, BPM and key detection, vocal characteristics, and mood assessment. Golden Minute Detection identifies a song’s highlight section including the chorus, and automatic tagging streamlines catalog organization and music discovery across streaming platforms.
SONOTELLER targets music lovers wanting to understand and organize their listening, music industry professionals (labels, publishers, supervisors), content companies managing music catalogs, and streaming services needing DDEX-compliant metadata at catalog scale. A free demo lets anyone search by artist/song title or paste a YouTube URL; API access for enterprise catalog-scale analysis offers up to a 50% discount for industry professionals upon application. Recently acquired by and integrated with Chordal. The service is currently in beta, with acknowledged potential for processing delays.
