Audio analysis tool

This tool accepts audio files and returns objective analysis metrics. It ingests common formats (MP3, WAV, AAC, FLAC) and computes duration, number of channels, and sample rate. It measures loudness using LUFS according to ITU-R BS.1770, reports peak and RMS levels, and derives basic spectral features such as spectral centroid. It also flags clipping and significant silence segments. Conceptually, the tool builds a feature vector from the waveform and spectral content to support QC workflows without modifying the source. Beneficiaries include podcast editors, music producers, broadcast engineers, and researchers who need repeatable measurements across versions and platforms. Unique value lies in combining standard-compliant loudness metrics with fast per-file diagnostics and ready-to-export data for pipelines. Core features include file ingestion, metric extraction, optional per-channel breakdown, and export of results in JSON or CSV for integration into dashboards. Practical use cases include verifying prior to distribution, comparing master versions, or validating loudness normalization targets before mastering. The tool emphasizes reproducibility, domain-standard calculations, and straightforward outputs that fit into existing QA processes.