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SONOTELLER.AI

SONOTELLER.AI is an experimental AI music analysis engine that listens to songs and produces a summary of lyrics and music, identifying genres, subgenres, moods, instruments, BPM, key, language, and explicit content.

Music Industry ToolsResearch & Data AnalysisMusic TaggingMusic AnalysisLyrics Analysis

About SONOTELLER.AI

SONOTELLER.AI

SONOTELLER.AI analyzes songs through lyrics analysis and music analysis, creating a comprehensive profile that includes a summary, language recognition, explicit content flagging, genres and subgenres, instruments, moods, themes, BPM and key, vocals, and the song's golden minute (highlights including chorus). Users can search by artist and song title or paste a YouTube URL for demo analysis, with results typically within about a minute; YouTube is used for demo purposes only. For tagging owned music files at scale, the page describes a dedicated API with endpoints for music, lyrics and section tagging, which users are asked to contact the company about. The page states the product is in beta, may have occasional issues and delays, and mentions a partnership with Chordal and an offer of up to 50% discount for music labels and publishers.

Key features

  • Lyrics analysis with summary, themes, moods, language, and explicit content flagging
  • Music analysis identifying genres, subgenres, moods, instruments, BPM and key, and vocals
  • Golden minute identification of song highlights including chorus
  • Search by artist and song title or paste a YouTube URL for analysis
  • API with dedicated endpoints for music, lyrics analysis and section tagging
  • DDEX compliant metadata output for catalog delivery to DSPs, per the page

Best suited for

  • Music labels and publishers organizing and tagging catalogs
  • Music supervisors and content companies
  • Music lovers seeking to understand song lyrics and music
  • Music discovery and distribution metadata enrichment

Pricing

Not stated on the website

APIBPM and key detectionmusic analysisgenre detectionautotaggingmusic metadatamood detectionlyrics analysissong analysis

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