Online Music Analysis Tool

The Online Music Analysis Tool analyzes audio content to derive core musical metrics such as tempo (BPM), key, rhythm density, duration, loudness, and basic spectral features. It accepts audio uploads or accessible URLs and outputs structured results suitable for catalogs and data pipelines. conceptually, tempo is estimated via onset detection and autocorrelation; key is inferred from chroma features with a reference key profile, yielding a confidence score. Rhythm density measures event rate per second, while spectral features like centroid and RMS describe timbral characteristics. The tool is designed for producers who tag tracks, DJs who build playlists, archivists who curate metadata, and researchers studying musical patterns. Its value lies in combining multiple analyses into a single, exportable dataset with confidence scores, enabling automated tagging, searchability, and integration with content management systems. Core features include multi-input support, robust handling of common formats (MP3, WAV, FLAC), optional target tempo ranges and key hints, and export options to JSON or CSV for downstream workflows. Users benefit from faster cataloging, precise metadata for search and recommendation systems, and reproducible analysis suitable for large music collections. The tool emphasizes machine-readability and consistency, making it suitable for batch processing and research projects while remaining accessible to non-technical music professionals.