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OptiMaster - projet logiciel de Mathieu Luyten pour analyser, comparer et exporter des masters audio plus propres.

OptiMaster
Public beta MIT open source 2026.4.24 beta.2

Built with Python, PySide6, and FFmpeg

A local open source audio finishing assistant.

OptiMaster analyzes WAV and FLAC premaster files, renders safe mastering candidates, shows before/after metrics, and helps you export a cleaner final version.

Windows-first beta. FFmpeg required. Your ears still make the final call.

OptiMaster beta 2026.4.24 executable showing the Source tab with a WAV or FLAC file picker.
Actual screenshot from the Windows executable, beta 2026.4.24-exe.

Why it exists

Options, measurements, and listening decisions instead of a black box.

Mastering tools can be opaque. OptiMaster makes the process easier to read: source diagnostics, measurable candidates, score reasons, and direct before/after comparison.

It is not magic one-click mastering. It helps creators make a better decision, then verify exports on real listening systems.

What it does

Measure, render, compare, listen, export.

01

Analyze WAV and FLAC

FFmpeg-powered source analysis with LUFS, True Peak, LRA, dynamics, and profile diagnostics.

02

Choose practical targets

Fast LUFS goals for streaming, SoundCloud, club/DJ, hard/raw tests, or a custom GUI target.

03

Render safer candidates

Clean/safe, balanced, and louder modes with strict True Peak, fallbacks, and time budgets.

04

Rank with reasons

Candidate scoring explains tradeoffs so the loudest file does not automatically win.

05

Listen in context

A/B listening, waveform preview, playback visualization, notes, preferences, and session history.

06

Use the CLI too

Analyze, render, batch process, run presets, and save listening notes from the command line.

Workflow

Five steps from premaster to export.

  1. Choose a sourceLoad a WAV or FLAC premaster.
  2. Analyze the sourceRead loudness, peaks, dynamics, and source profile.
  3. Pick target and timeFast preview, balanced ranking, or most careful comparison.
  4. Render candidatesTrack percentage, elapsed time, ETA, and cancel if needed.
  5. Compare and exportListen A/B, review metrics, then create clean incremental exports.

Beta download

No GitHub knowledge required. Download the zip, unzip it, launch the app.

GitHub is only where the beta file is hosted. You do not need an account, Git, or any code tools. Look for OptiMaster-v2026.4.24-beta.2-windows-x64.zip, unzip it, then open OptiMaster.exe.

Current beta 2026.4.24 beta.2

Portable Windows zip. FFmpeg must be installed separately before analyzing audio.

Open download page
01

Open the download page

On GitHub, scroll to the latest release and find the small Assets list. That is where the Windows zip lives.

02

Download the Windows zip

Choose OptiMaster-v2026.4.24-beta.2-windows-x64.zip. Ignore source code downloads unless you are a developer.

03

Unzip and launch

Extract the zip somewhere simple, then double-click OptiMaster.exe. Windows may ask you to confirm because this is a beta build.

04

Check FFmpeg once

OptiMaster uses FFmpeg for audio analysis and rendering. If analysis does not start, install FFmpeg and make sure it is available in Windows PATH.

Built for contributors

Open source, beta, and looking for sharp ears and sharp eyes.

UX/UI Microcopy Windows packaging Audio scoring Genre presets Real-file tests FFmpeg edge cases Test coverage Release smoke tests

Honest beta note

Useful already, still evolving.

Try it, break it, improve it.

Mastering candidates you can measure, compare, and improve.