About Sonoteller
AI-powered music analysis platform delivering song summaries, genre detection, mood analysis, and lyrics interpretation. Streamline music catalog management with automated tagging and API integration.
Overview
- Multimodal Music Analysis: Combines audio processing and NLP to analyze lyrics, instruments, BPM, and musical key from audio files
- AI-Powered Insights: Generates comprehensive song summaries including explicit content detection, language identification, and emotional tone analysis
- Technical Music Attributes: Identifies 180+ musical properties including subgenres, instrumentation patterns, and structural elements like chorus detection
- Enterprise-Grade API: Scalable solution for analyzing large music libraries with customizable taxonomies and DSP integrations
Use Cases
- Music Streaming Optimization: Enhance discovery algorithms with AI-generated metadata for personalized recommendations
- Label Catalog Enrichment: Automate legacy catalog analysis for improved rights management and licensing opportunities
- Radio Programming: Identify mood-matched tracks for thematic playlists using emotional tone detection
- Academic Musicology: Analyze lyrical patterns and compositional trends across music eras/genres
Key Features
- Golden Minute Detection: Automatically identifies highlight segments (e.g., chorus) using waveform and lyrical pattern analysis
- Multi-Platform Compatibility: Processes audio files from YouTube links or direct uploads with CSV/Excel export capabilities
- Dynamic Tagging System: Creates custom taxonomies for genre, mood, and instrumentation with machine learning refinement
- Real-Time Analysis Engine: Delivers results in ~60 seconds per track through optimized neural networks
Final Recommendation
- Essential for DSPs needing to improve content discoverability through enhanced metadata schemas
- Ideal for independent artists seeking data-driven insights for audience targeting and compositional analysis
- Recommended for music archivists requiring bulk analysis of legacy collections with customizable export formats
- Valuable for AI developers building music recommendation systems needing API access for feature extraction
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