Audio Analysis Tool

This tool analyzes an uploaded audio file to extract fundamental properties and perceptual metrics without modifying the source. It supports MP3, WAV, M4A, FLAC and other common codecs and reads embedded metadata when present. Primary outputs include duration_seconds, sample_rate_hz, channels, bitrate_kbps, and encoding format.
In addition to basic properties, it computes loudness_lufs following ITU-R BS.1770, along with peak_dbfs and rms_dbfs to characterize dynamic range. For music tracks, optional tempo_bpm and key estimation provide musical context; confidence flags indicate when estimates are uncertain.
Inputs and outputs are designed for automation: a single file yields a structured data object; errors use standardized codes for missing files, unsupported formats, or corrupted data. Typical use cases include podcast QC, music mastering preparation, and metadata generation for asset management.
The tool uses non-destructive analysis and can be invoked via API for batch workflows. It differentiates itself by ITU BS.1770 compliant loudness, explicit metadata extraction, and clear, exportable metrics suitable for validation and reporting.