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SPECIFICTION
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Matchering vs Tunr

Matchering

github.com

Tunr

tunr.studio

Side by side

FigureMatcheringTunr
Price fromFreeFree
Free planYesYes
Free trial——
Open sourceYes—
WebYes—
WindowsYesYes
macOSYesYes
LinuxYes—
APIYes—
Self-hostedYes—
Plans published12
Spec score · Audio Mastering Software8.7 (#1)7.4 (#21)
Spec score · AI mastering tools8.6 (#6)7.4 (#38)
Audio formatsAn independent software directory describes WAV and FLAC input/output support and professional WAV output.The Reference mode page lists WAV, FLAC, and MP3 as accepted audio formats.
What it doesMatchering 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.Tunr is a desktop audio mastering app that analyzes tracks and creates genre-aware masters locally.

Plans

Matchering

  • Open-source softwareFree

Matchering pricing →

Tunr

  • FreeFree
  • Free licence keyFree

Tunr pricing →

In their own words

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.

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Tunr

Tunr is a desktop audio mastering app for macOS and Windows. It analyzes tracks and creates genre-aware masters on the user’s computer, with no internet connection needed for mastering. Auto mode applies a mastering chain; Reference mode uses a chosen track to match tone, dynamics, and loudness. That mode accepts WAV, FLAC, and MP3. Its A/B Mixer supports equal-power crossfades, null and blind tests, loudness matching, and listening in stereo, mono, mid, or side. Batch mode processes queued tracks in sequence with shared settings and saves each result as it finishes. Without a licence key, the free plan renders three masters per machine; mixer comparisons and analysis do not count toward that limit. A free licence key provides unlimited masters on two machines. Tunr is standalone, not a DAW plugin. It supports macOS 11 or later on Apple Silicon and Intel, plus 64-bit Windows 10 or later. The maker says files are never uploaded and the app has no usage telemetry or third-party trackers.

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