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Sonoteller.ai

Sonoteller.ai delivers intelligent, detailed music analysis with AI-powered tagging and insights for creators and industry pros.

Sonoteller.ai screenshot

Category: Audio

Price Model: Trial

Trustpilot Score: N/A

Trustpilot Reviews: N/A

Our Review

Sonoteller.ai: Intelligent Music Analysis for Creators and Professionals

Sonoteller.ai is an innovative, experimental AI music analysis engine that delivers deep insights into songs by examining both lyrics and musical elements. It identifies genres, subgenres, moods, instruments, BPM, key, vocals, and pinpoints the 'golden minute'—the most impactful part of a track—making it a powerful tool for music lovers, supervisors, content creators, and industry professionals. With automatic tagging capabilities and DDEX-compliant metadata output, Sonoteller.ai streamlines music catalog management and enhances discovery. Its API integration supports scalable analysis for large collections, and it partners with Chordal to boost music distribution. Designed with precision and future-ready features, it offers language recognition and explicit content flagging for enhanced metadata accuracy.

Key Features:

  • AI-powered music and lyrics analysis
  • Genre and subgenre identification
  • Mood and instrumentation detection
  • BPM and musical key analysis
  • Vocal detection and analysis
  • Golden minute detection (e.g., chorus, highlights)
  • Automatic metadata tagging for music catalogs
  • API integration for scalable analysis
  • DDEX-compliant metadata output
  • Language recognition across tracks
  • Explicit content flagging

Pricing: Sonoteller.ai offers a trial access during its beta phase, with exclusive up to 50% discounts available for music labels and publishers. API integration is available for enterprise use cases, and pricing is tailored to specific needs.

Conclusion: Sonoteller.ai stands out as a cutting-edge tool for music professionals and enthusiasts, combining rich analytical depth with practical API capabilities to revolutionize how music is understood, categorized, and discovered in the digital era.

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