SONOTELLER.AI treats a song as structured data. You give it a track — via an artist and title search or a pasted YouTube URL for the demo — and it 'listens' to both the audio and the lyrics before returning a consolidated report. The lyrics side produces a plain-language summary, moods, themes, language detection, and an explicit-content flag. The music side reports genres and subgenres, moods, instruments, BPM, key, and vocal type. Each analysis takes roughly a minute.
The most distinctive output is the 'golden minute' — the part of the track that contains the hook or chorus and stands out most, which is genuinely useful for sync licensing, clip selection, and editorial work. SONOTELLER also positions itself around metadata enrichment: its descriptors are designed to improve discoverability across DSPs, playlist and recommendation systems, audience profiling, and sync search.
For music lovers, a free browser analyzer is available for exploring familiar songs. For industry users, SONOTELLER exposes dedicated API endpoints for music analysis, lyrics analysis, and section tagging, so labels, publishers, and catalog managers can tag large libraries at scale and export metadata in a DDEX-compatible direction. The company has announced that it is joining Chordal, a move it says extends these capabilities to music supervisors and content companies. The tool is described as experimental and in beta, so occasional issues should be expected.
