Matchering

Self-Hosted

Open-source automated audio matching & mastering tool

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Overview

Matchering automates audio mastering by aligning your track’s loudness, EQ balance, and dynamic range to a reference file. It supports WAV/FLAC formats, delivers professional WAV outputs, and uses open-source signal processing algorithms for precise matching. Deployable via command-line, Docker container, or self-hosted web UI (with Matchering Web), it’s ideal for creators seeking consistent results without manual mastering effort.

Self-Hosting Resources

Below is a reference structure for docker-compose.yml. ⚠️ Do NOT run blindly. Replace placeholders with official values.

docker-compose.template.yml TEMPLATE

version: '3'
services:
  matchering:
    image: <OFFICIAL_IMAGE_NAME>:latest
    container_name: matchering
    ports:
      - "8080:<APP_INTERNAL_PORT>"
    volumes:
      - ./data:/app/data
    restart: unless-stopped

Key Features

  • Automated loudness & EQ matching to reference tracks
  • Supports WAV/FLAC input/output formats
  • Deployable via CLI, Docker, or self-hosted web UI

Frequently Asked Questions

? Is Matchering hard to install?

Matchering is easy to set up via Docker (simplest method): pull the official image and run it with volume mounts for input/output files. CLI installation requires Python and dependencies, but the repo provides step-by-step instructions for beginners.

? Is it a good alternative to LANDR?

Yes—Matchering offers core automated mastering features (loudness/EQ alignment) for free, with self-hosted privacy. However, LANDR includes extra services like distribution tools and AI presets that Matchering doesn’t have.

? Is it completely free?

Absolutely—Matchering is open-source under the MIT License, so it’s free to use, modify, and self-host without any hidden costs or premium tiers.

Top Alternatives

LANDR (SaaS automated mastering service) Search Google
iZotope Ozone (Proprietary mastering suite with automation) Search Google

People Also Ask about Matchering

Matchering vs LANDR (SaaS automated mastering service)Matchering vs iZotope Ozone (Proprietary mastering suite with automation) Matchering 2025 review Matchering docker-compose example

Tool Info

Pricing Open Source
Category Automation
Platform Self-Hosted

Pros

  • Privacy-focused (self-hosted, no cloud dependency)
  • Eliminates manual mastering effort for consistent results

Cons

  • Requires basic technical knowledge for setup
  • Lacks creative mastering presets or customization options

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