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Free Music Creator AI Mastering vs Matchering

Free Music Creator AI Mastering

freemusiccreator.ai

Matchering

github.com

Side by side

FigureFree Music Creator AI MasteringMatchering
Price from$10.49/moFree
Free planYesYes
Free trial——
Open source—Yes
WebYesYes
Windows—Yes
macOS—Yes
Linux—Yes
API—Yes
Self-hosted—Yes
Plans published81
Spec score · AI mastering tools8.8 (#3)8.6 (#6)
Audio formatsIt accepts MP3, WAV, and FLAC files and offers output as 320 kbps MP3, 16-bit WAV, or 24-bit FLAC.An independent software directory describes WAV and FLAC input/output support and professional WAV output.
What it doesThe mastering tool analyzes a finished stereo mix and a reference track, then guides broad sound characteristics of the mix toward that reference.Matchering processes a target recording against a reference recording and returns a master intended to match the reference’s loudness, frequency response, peak amplitude and stereo width.

Plans

Free Music Creator AI Mastering

  • FreeFree
  • Starter Pack$7.99, paid once
  • Starter$10.49 a month
  • Pro Pack$19.99, paid once
  • Pro$20.99 a month
  • Premium$34.99 a month
  • Premium Pack$39.99, paid once
  • Ultra Pack$69.99, paid once

Free Music Creator AI Mastering pricing →

Matchering

  • Open-source softwareFree

Matchering pricing →

In their own words

Free Music Creator AI Mastering

Free Music Creator AI Mastering has no write-up on Specifiction yet; its figures are above.

Visit freemusiccreator.ai

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