SoundMatchAnalyser (SMA) is a powerful tool designed to analyze and compare audio quality by evaluating the differences between two audio files
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Updated
Jan 1, 2025 - Python
SoundMatchAnalyser (SMA) is a powerful tool designed to analyze and compare audio quality by evaluating the differences between two audio files
Clean AI-generation artifacts from Suno tracks, then master for release. Free, offline, runs entirely on your machine.
A Qt-free numpy core (WAV/MP3 loading, BS.1770 loudness, spectra, editing) under Qt widgets and playback, plus AudioWave Studio: record, compare takes, edit and stream audio, built only on the public API.
Batch audio loudness analyser — LUFS, True Peak, LRA via FFmpeg. Interactive HTML report. Light, easy and no DAW needed.
A simple GUI tool for normalizing audio files using FFmpeg.
Python Audio Loudness Analysis
Preset normalization and comparison for audio processors
CLI-first deterministic audio/video quality gate. Catches corrupted, invalid, or low-quality media before it reaches humans.
Automatic mixing and mastering for finished stems. A deterministic, open-source Python engine that loudness-balances stems into a stereo mix and masters it to an exact LUFS target with a true-peak limiter (ITU-R BS.1770-4). Same stems in, same master out — no AI, no subscription.
No more volume jumps between your audio files: analyze and normalize them with precision.
Aplicación de escritorio para masterizar tracks musicales. EQ de 4 bandas, control LUFS, auto-master por referencia y exportación WAV/FLAC.
Category-aware loudness balancing for commentary videos. Reduce narrator/source volume jumps without flattening original dynamics.
Audio diff for producers and developers, with CI checks (--fail-if) and a GitHub Action. Continuation of systemBlue's sounddiff (MIT), maintained by jaimefgdev.
Windows desktop application to analyze and normalize audio/video loudness to YouTube's -14 LUFS target. Measures integrated LUFS, True Peak, and LRA using FFmpeg (EBU R128) and automatically normalizes media with a two-pass workflow.
Batch audio loudness normalization tool. LUFS targeting, True Peak ceiling enforcement, LRA measurement, BWF/iXML metadata, watch folder mode. Python/PySide6, Windows exe via PyInstaller.
Autonomous Audio Mastering & Phase-Linear Signal Processing Suite. Multiband M/S Phase Lock, Bandwidth Extension, ITU-R BS.1770-4 LUFS & True Peak Limiting.
SubverseLab Mix Check: evidence-first mix/master measurement service on the shared subverse_mix engine (Loom/MixAnalyzer)
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