SONOTELLER.AI

SONOTELLER.AI is an AI song analyzer that listens to music and provides a comprehensive summary of a song, including lyrics analysis and music analysis. It identifies musical attributes such as genres, subgenres, moods, instruments, BPM and key. The AI engine is designed to analyze song files (and can operate via YouTube demos for demonstration). It enriches music descriptors for discovery, distribution, cataloging, and metadata automation. SONOTELLER can highlight the golden minute of a track (the chorus or highlight) and is currently in beta, with potential occasional issues or delays. It is suitable for music lovers, analysts, managers, publishers, and labels looking to streamline music analysis and tagging. You can try it by entering an artist and song title or a YouTube URL; API access is available for scalable tagging and integration with catalog workflows.

How to Use SONOTELLER.AI

1. Search by artist and song title or paste a YouTube URL into the search box. In less than a minute, SONOTELLER will analyze the song and present results.
2. Review the Lyrics Analysis and Music Analysis sections, including genres, subgenres, moods, instruments, BPM, key, and vocal attributes.
3. Use the generated metadata to enrich catalogs, improve discoverability, and streamline DSP delivery.
4. If you need scalable analysis, contact the team for API access to analyze large music libraries and auto-tag lyrics, sections, and metadata.

YouTube videos are used for demo purposes only. For your own music not hosted on YouTube, use the API or upload options where supported.

Use Cases

• Music discovery and playlisting
• Cataloging and metadata enrichment for DSPs with DDEX-compliant data
• Automatic tagging of music and lyrics for publishers, labels, and distributors
• Language recognition and explicit content flagging
• Highlight extraction (golden minute) for promos, trailers, or social content

Safety and Compliance

• Designed for legitimate music analysis and cataloging use cases; ensure you have rights to analyze and tag the music you submit.

Core Features

• Lyrics Analysis and Music Analysis: automatic extraction of themes, language, and lyrical content alongside musical attributes.
• Genre and Subgenre tagging: identifies genres, subgenres, and related mood descriptors.
• Instrumentation and Vocals: detects instruments and vocal characteristics.
• BPM and Key detection: automatic tempo and key analysis.
• Golden Minute Identification: highlights key moments such as chorus or peak sections.
• Language Recognition: detects primary language of lyrics.
• Explicit Content Flagging: flags explicit material where applicable.
• YouTube Demo Support: demo analysis via YouTube URLs (for quick showcases).
• API Access: dedicated endpoints for music analysis, lyrics analysis, and section tagging; supports catalog management workflows.
• DDEX-compliant Metadata: ready-to-use metadata for DSP submissions and licensing.
• Beta Status with Feedback Loop: active beta with user feedback to improve accuracy and features.