Matchering
Automated reference audio mastering library.
Pricing
Free tier
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is Matchering?
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.
Key differentiator
“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.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Documentation lacks examples for integrating with popular DAWs or cloud services
Processing times increase disproportionately with file size, impacting real-time applications
Fit analysis
Who is it for?
✓ Best 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
✕ Not a fit for
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
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Integrations
Next step
Get Started with Matchering
Step-by-step setup guide with code examples and common gotchas.