Barichord Audio Lab vs Matchering

Barichord Audio Lab is a web-based AI mastering engine for DAW mixes, AI-generated audio, and podcasts. Its Ghost Engineer analyzes frequency clashes, muddiness, and dynamic issues, then suggests improvements. Users can upload a reference track for matching EQ, compression, stereo width, and style, and adjust results with a 10-band EQ, compressor, stereo-width control, and other settings. WAV, MP3, and FLAC uploads are supported, with hi-res WAV downloads at 44.1kHz/24bit. The maker says it accepts Suno, Udio, and DAW exports, does not train AI on users’ music, and deletes files after processing or download. Playground is free, with unlimited uploads and previews, manual EQ and FX, and before/after comparison; it excludes listed AI diagnosis and downloads. Solo Run costs $2, paid once. Studio Pack costs $1,010, paid once, and Label Bundle costs $75,100, paid once; credits in both larger bundles never expire.

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.