AI Mastering vs HanoLab Mastering

AI Mastering is an online service that uses AI to master audio with the aim of improving music sound quality. Its limiter can balance loudness and dynamic range, while the web interface lets users set target loudness and mastering level. It also supports drag-and-drop uploads, output-format customization, spectrum analysis, and loudness analysis. The API supports audio upload and download, mastering, and changes to target loudness and mastering level; its documentation links JavaScript (Node) and Ruby client libraries and tutorials. An offline desktop version is available, and the maker says its focus is shifting toward that version rather than the API. Offline file size depends on the computer’s memory, while the online service has file limits. The maker says online waiting time cannot be shortened and suggests using the offline version to reduce it. A bass-preservation option can reduce low-frequency attenuation. Supported input formats are WAV, MP3, and MP4, and WAV export is available. The free plan lists unlimited mastering, and users retain control over their mastered tracks without service restrictions.

HanoLab Mastering is a browser-based mastering tool within HanoLab’s broader set of AI audio tools for music generation, voice conversion and stem separation. It can move a mix toward a commercial reference’s loudness and tonal balance, or toward a streaming loudness target. Uploads can be MP3, WAV, FLAC or M4A, and mastered tracks export as lossless 24-bit WAV. Each mastered track uses one subscription credit; the listed REST API rate is $0.02 per track. The browser canvas combines generation, stem splitting, voice conversion and mastering without installation. The free plan includes 30 monthly credits, but its outputs expire after seven days and are for personal and evaluation use. Credits reset monthly, do not roll over, and generation pauses when they run out until renewal or upgrade. Paid plans start at $19.90 a month and grant a commercial license for outputs generated while the plan is active. Free accounts have model-improvement data sharing enabled by default; paid accounts have it disabled by default. Users can change that preference in Account Settings.