ebu-r128

Free, open-source metering plugin for mixing and mastering: LUFS loudness (EBU R 128), true peak, spectrum, spectrogram and goniometer in one window. VST3 / AU / CLAP.

Header-only C++20 audio DSP for real-time and offline processing. Filters, effects, analog circuit models, automatic dynamics, stereo tools, analysis and EBU R128 metering. Dependency-free DSP core with optional VST3, CLAP and Audio Unit adapters.

Lightweight real-time audio loudness measurement in the browser via Audio Worklet.

Batch audio loudness analyser — LUFS, True Peak, LRA via FFmpeg. Interactive HTML report. Light, easy and no DAW needed.

Automatic audio normalization plugin for IINA — peak and EBU R128 loudness modes with two-stage scanning, caching, and configurable OSD

A simple GUI tool for normalizing audio files using FFmpeg.

Professional audio analyzer running 100% in your browser. LUFS, True Peak, BPM, Key, Stereo, Spectrum — no uploads, no server.

Professional audio quality analyzer for Windows that scans and grades music libraries from S to F using FFmpeg-powered spectrum analysis. Detects upsampling artifacts, clipping, stereo phase issues, and evaluates loudness via EBU R128 with full batch processing and export support for CSV, JSON, and plain text reports.

BS.1770-4 / EBU R128 loudness with real gating, inter-sample true peak, AES17 RMS, crest factor and correlation. Header-only C++17, optional JUCE module. MIT.

Free VST2 loudness plugin for OBS. Holds each audio source on a LUFS target in real time, without compressing. A working reference integration of the LevelAPI2 library.

A real-time R128-based loudness normalizer for foobar2000. Supports Japanese and English UI.

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.

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.

Within the Wift ecosystem, there is a production-ready "Audio Intelligence" library powered by Apple Silicon (Metal/ANE).

Open-source C++ audio-core library with BS.1770 / EBU Tech 3341 conformance tests, RT-safety primitives, and Barometer as a source-built JUCE reference plugin.

MCP server for driving Adobe Premiere Pro from an AI assistant, with tools that verify their own writes, measure colour and loudness, and judge whether an edit is ready to post

Orchestration layer for AuK speech editing: multi-intent planning, context-budget-aware chunking with seamless stitching, and BS.1770 quality gates that verify each edit. Pure-numpy core, no GPU needed to run the tests.

Loudness compliance verdicts against formal published standards (EBU R128, ATSC A/85) — pass/fail with exact deltas and remediation, not raw meter output. CLI + MCP over one ffmpeg-based engine.

Normalize audio to an optimal, consistent loudness (LUFS / EBU R128) - npx CLI + offline browser PWA.

Fix ACX audiobook rejection errors — RMS too low, peak too high, noise floor too high — one command, Windows/macOS/Linux, CLI + GUI.