Matchering vs WhitePrint AudioEngine

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.

WhitePrint AudioEngine provides AI-powered audio analysis and mastering through a web interface and API, returning analysis data, mastered audio, or both. Its BS.1770-4 analysis measures LUFS, true peak, loudness range, crest factor, spectral balance, and stereo width. Three independent AI models make mastering recommendations, and users can inspect each model's advice and the reasoning behind the consensus. The mastering chain has 14 hybrid DSP stages, bypassed by default unless the AI directs otherwise. Users can compare original and mastered audio with an A/B player, inspect metric changes, and download a WAV file. WAV and FLAC inputs are supported, and direct processing can use links from Google Drive, Dropbox, OneDrive, Amazon S3, and Google Cloud Storage; Suno and SoundCloud are also listed as URL sources. API routes support full mastering, analysis-only, deliberation-only, and DSP-only tasks. Submitted audio is deleted within 24 hours after job completion and is not used to train AI models. The free plan includes three WAV masters monthly and seven days of analysis history. Paid plan prices range from $54 a month to $5,506 a month.