SONOTELLER

SONOTELLER analyzes songs by listening to music to create a comprehensive summary about the song. It is designed for song analysis, lyric analysis and music analysis, providing insight into how a song is constructed and what it expresses. The tool targets users who want to understand songs more deeply through automated analysis of lyrics and music features.

SONOTELLER processes audio data to produce a compact overview of a track. It identifies musical attributes such as genres, subgenres, moods, instruments, BPM or key, and it can highlight notable sections like the golden minute of a song. The product emphasizes analysis of both lyric content and musical composition.

The service runs in beta and may exhibit issues or delays while it processes inputs. It aims to enrich music descriptors for discovery and distribution and offers a mechanism to integrate with external systems via an API. The system notes that the engine is listening to your song during analysis and that demos may use YouTube videos for demonstration purposes only.

The tool presents a sample workflow including a highlighted segment and structured analyses for lyrics and music, with a focus on summarization and tagging to aid cataloging and understanding of musical works. It describes expected analysis time and the capability to provide a comprehensive overview of a track.

Use cases

• Song analysis and lyrics analysis for understanding themes and structure
• Music tagging and catalog enrichment