🎚️ Open Source Audio Matching and Mastering

automatic mastering plugin for live streaming, podcasts and internet radio.

A lookahead compressor/limiter that's soft as a lamb.

🎚️ Simple Matchering 2.0 Command Line Application

My personal collection of presets for ReaPlugs & JS Effects

Ownaudio is a cross-platform C# audio library that works across platforms without external dependencies.

🎚️ Self-Hosted LANDR / eMastered Alternative

Reference music mastering application using Dolby.io Media APIs

api.audio Python SDK

oXygen is a free and open-source mastering plugin built with C++ and JUCE. The project is focused on a practical mastering workflow: corrective EQ, multiband control, stereo shaping, final loudness, and an automatic Master Assistant that listens to the incoming mix and writes settings into the modules.

Tool to automatically generate and publish music using AI.

Bitwave is a high-fidelity, developer-friendly, future-proof audio format designed for modern sound experiences — including spatial audio, dynamic tempo adjustment, and multi-track support.

5-72 is an ambitious open-source project aimed to involve novice musicians into the craft of sound engineering. Using the buses of world-famous artists as an example, we will show you what real music consists of. See, listen, create and evolve with us.

Smart Mastering services and libraries for MarkLogic. Documentation: https://marklogic-community.github.io/smart-mastering-core/

General advice, guidance and a collection of resources related to making music

Livres (physiques et numériques) traitant de divers sujets

Free, open-source music production companion — full mastering analysis with LUFS metering, vectorscope, stereo correlation, waveform display, platform normalization preview, reference A/B matching, and more.

Open-source collection of JSFX (JesuSonic plugins) for Reaper. Plugins are made for use in mastering stage of music production.

Mozart, short for Music Optimization Artificial intelligence, is a state of the art technology that primarily focusses on the hefty problem of acoustic feature enhancements using learning mechanism and constraint optimizations.

Python and Node.js examples of how to work with RoEx's Tonn API