Audio & Music

Matchering

Automated reference audio mastering library.

Status
Generally available
Last checked
Checked · Oct 12, 2026
License
Open source
Pricing
Free tier · from $0

What it is

Matchering is an open-source library for automated reference audio mastering. It allows developers to integrate high-quality mastering capabilities into their applications, ensuring that the output matches a specified reference track in terms of loudness and tonal balance.

Matchering stands out by providing an open-source solution specifically tailored for automated reference audio mastering, offering developers a reliable tool to integrate high-quality mastering capabilities into their applications.

When it fits — and when it doesn’t

A good fit for

  • Developers building music production tools who need automated mastering capabilities

  • Audio engineers looking to integrate high-quality mastering into their workflow without manual adjustments

  • Music producers aiming for consistent audio quality across different tracks

Look elsewhere if

  • Projects requiring real-time processing of audio streams, as Matchering is designed for batch processing

  • Applications that need a wide range of customizable mastering options beyond loudness and tonal balance matching

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited integrations with other audio processing tools and platforms

    Documentation lacks examples for integrating with popular DAWs or cloud services

  2. 02

    Performance bottlenecks when processing large audio files

    Processing times increase disproportionately with file size, impacting real-time applications

What it does well

  • Automated reference audio mastering

  • High-quality output matching a specified reference track

  • Open-source and customizable

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up Matchering

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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Matchering — tracked on AI Navigator

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