Songmastr

Songmastr provides an automated mastering service that uses artificial intelligence to polish songs to resemble a chosen reference track. The service operates without requiring software or registration and is designed for musicians, producers, and creators who want a reference-style master. It relies on an open source library called matchering to guide the mastering process and can handle songs up to a certain size and duration.

Users upload two items: their own song (wav or mp3) and a reference track (also wav or mp3). After submitting, the system processes the audio and offers a downloadable mastered file once processing finishes. The platform emphasizes that the uploaded music is stored for a limited time and that users retain ownership of their files.

The service is free up to seven masterings per week, with higher usage requiring credits purchased through various plans. It specifies limits on track length and file size to avoid server saturation, and the results are uncompressed wav files when purchased. The tool works under a model described as automated mastering using the reference track provided by the user.

Songmastr operates via a web-based workflow, accessible without software installation or registration. It is powered by the Matchering engine and provides multiple pricing packs to scale usage, including individual, catalog, and larger bundles, with results delivered as downloadable audio files.

Use cases

• Master tracks to match a reference style for a quick polish
• Preview and download uncompressed audio files