AI Mastering

Browser mastering service that analyses a mix and applies a mastering chain

AI Audio & MusicFree planOverseas★★★☆☆ 3.0

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What is AI Mastering?

AI Mastering takes an uploaded mix and masters it automatically: the service analyses loudness, dynamics and frequency balance, then renders a version with limiting, EQ and stereo processing applied. You can compare against reference tracks, adjust how aggressively the chain works, and download variants suited to streaming or CD. It is a lightweight option for independent musicians and podcasters who want a louder, more consistent result without buying plug-ins or learning a mastering chain. Results are competent rather than subtle, and material that needs a judgement call still benefits from a human engineer.

Last updated: 2026-09-20. This site only provides an index; for exact features, pricing, and licensing, see the official website.

Key features

Automatic loudness, EQ and dynamics processing on an uploaded mix
Reference track comparison to aim at a target sound
Adjustable processing strength with several preset targets
Multiple output formats for streaming, download and CD
Spectrum and loudness analysis of original and mastered files
API access for mastering a catalogue programmatically

Pros & cons

Strengths

Far quicker and cheaper than booking a mastering engineer
Reference matching gives useful direction on the target sound
Loudness targets line up with streaming platform expectations

Watch out for

Automatic processing cannot make artistic judgement calls
Heavy limiting is easy to over-apply on dynamic material
The interface and site feel dated in places

Best for & use cases

independent releases, podcast loudness, demos and quick streaming masters

If you're comparing similar products, check the alternatives below, or browse all tools in the AI Audio & Music category.

FAQ

Is automatic mastering as good as an engineer?

Not on material that needs decisions. It is good at consistent loudness and balance, which covers many independent releases, but a skilled engineer still adds value where a mix needs interpretive fixes.

What does the reference track do?

It gives the service a target for tonal balance and loudness. Choosing a reference in the same genre as your track matters, because the processing follows the character of whatever you upload.

Can I master many tracks at once?

There is an API for automated work, which is the practical route for a catalogue or a regular release schedule. For a single track, the web upload flow is quicker than wiring up code.