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Brainworx bx_masterdesk vs Matchering

Brainworx bx_masterdesk

plugin-alliance.com

Matchering

github.com

Side by side

FigureBrainworx bx_masterdeskMatchering
Price from$12.50/moFree
Free plan—Yes
Free trialYes—
Open source—Yes
Web—Yes
WindowsYesYes
macOSYesYes
Linux—Yes
API—Yes
Self-hosted—Yes
Plans published51
Spec score · Audio Mastering Software8.1 (#7)8.7 (#1)

Plans

Brainworx bx_masterdesk

  • CORE$14.99 a month
  • PRO$29.99 a month
  • CORE$149.99 a year
  • PRO$299.99 a year
  • bx_masterdeskPrice not published

Brainworx bx_masterdesk pricing →

Matchering

  • Open-source softwareFree

Matchering pricing →

In their own words

Brainworx bx_masterdesk

Brainworx bx_masterdesk is a mastering plugin for musicians working on their own material. Its analog-style system organizes processing into Volume, Foundation, and Tone Stack controls, with a Dynamic Range VU meter for adjusting loudness while considering sound quality. Other controls include a mastering de-esser, compressor mix, stereo width, and Mid/Side enhancement. The product page also lists Brainworx Tolerance Modeling Technology and an extensive preset list. It supports AAX AudioSuite, AAX DSP, AAX Native, AU, VST2, and VST3 on macOS and Windows. Listed systems include macOS 13 through 26 and Windows 10 through 11, with Intel or Apple Silicon Macs and x64-compatible PCs. Minimum requirements include 2 GB RAM and a display resolution of 1440 × 900px or 1280 × 960px or higher. The plugin is paid from $14.99/mo and has a 14-day trial that begins at first launch in a DAW. Plugin Alliance also lists CORE at $14.99 per month and PRO at $29.99 per month.

Visit plugin-alliance.com

Matchering

Matchering is open-source software for matching and mastering audio. Give it a TARGET track and a REFERENCE track, and it produces a mastered TARGET that follows the reference’s RMS, frequency response, peak amplitude, and stereo width. Matchering 2.0 comes as a containerized web application, Python library, and ComfyUI node, and is integrated into the UVR5 Desktop App. The Python library also provides a command-line application and can connect with the Python ecosystem. It requires Python 3.8.0 or later and a machine with 4 GB of RAM. WAV and MP3 are supported input formats, though MP3 loading needs a separate FFmpeg installation. The project says the algorithm uses digital signal processing rather than a neural network, and works well across nearly all genres, especially EDM, with an exception for experimental music with a very specific form. The free plan is listed at free under GPLv3, with no published paid plans. The maker advises against exposing its web application to the public Internet without security and scalability changes.

Visit github.com