An open-source tool for audio matching and mastering that makes your track sound like a reference song.
Matchering is an open-source audio matching and mastering tool that processes a target audio file to sound like a chosen reference track. It automatically matches key audio characteristics such as RMS, frequency response, peak amplitude, and stereo width, providing a quick way to achieve consistent, professional-sounding masters. The tool is designed for music producers, audio engineers, and developers who need efficient reference-based audio processing.
Music producers, audio engineers, and developers working on audio applications or AI mastering startups who need to match the sonic qualities of one track to another.
Developers choose Matchering because it's a free, open-source alternative to commercial mastering services, offering high accuracy, a custom limiter, and multiple deployment options including a Python library and Docker container for integration into various workflows.
🎚️ Open Source Audio Matching and Mastering
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Rewritten in Python for improved processing speed and precision, with third-party validation from Benn Jordan's review ranking it highly against other tools and human engineers.
Available as a Python library, Docker web app, ComfyUI node, and integrated into desktop apps like UVR5, catering to developers, startups, and music producers alike.
Includes the custom Hyrax brickwall limiter, which is open-source and designed for transparent peak control, as highlighted in the README's limiter quality test.
Integrated into user-friendly tools such as the UVR5 desktop app, allowing music producers to use reference-based mastering without coding.
Requires system libraries like libsndfile and optional FFmpeg, with OS-specific installation steps that can be a hurdle for quick deployment, especially on Linux.
Output quality is heavily reliant on the user-provided reference track; poor choices can lead to undesirable masters, as implied by the 'Your References, Your Rules' philosophy.
Focuses solely on automated matching without built-in options for tweaking individual audio parameters, limiting customization for advanced users.