How to Master Your Music with AI Mastering
Updated
AI Mastering is an automated online audio mastering service that improves your track's sound quality toward commercial release standards. You can use it by dragging and dropping an audio file, adjusting a few settings (target loudness, mastering level, output format), checking the spectrum and loudness analysis, then downloading the processed file. A free plan with unlimited mastering is listed on the site, and the workflow is designed for people who want to focus on the music rather than on manual mastering chains.
What you need before starting
- An audio file of your mix (the site's drag-and-drop UI is the entry point).
- A browser and an account, since the page shows Sign up/Login next to the loudness and dynamic range features.
- A rough idea of how loud you want the result to be, since target loudness is a customizable setting rather than a fixed preset.
Step-by-step: mastering a track
1. Upload your mix
Use the drag-and-drop interface to load your audio file. This is the only input step described on the site — there is no mention of a required file format, so check what the uploader accepts before converting anything.
2. Set target loudness
Adjust the target loudness to match your release goal (for example, a streaming-oriented level versus a louder club master). The site lists loudness customization as a core control, and the limiter is what balances loudness against dynamic range.
3. Choose the mastering level
The mastering level setting controls how aggressively the AI processes your track. A lighter level preserves more of the original dynamics; a heavier level pushes closer to commercial loudness. Start lighter and increase only if the result still sounds weak.
4. Pick the output format
Select your output format before rendering. This matters if your distributor or platform requires a specific container or bit depth.
5. Review the analysis
After processing, check the spectrum analysis and loudness analysis views. These tell you whether the tonal balance and overall level landed where you expected, and they are the main feedback loop for deciding whether to re-run with different settings.
6. Download the master
Download the processed file and audition it on the systems you actually listen on — headphones, car, phone speaker — before distributing it.
What the AI is actually doing
The service applies AI-driven processing to bring your track closer to commercial loudness and tonal balance, with a limiter handling the loudness-versus-dynamic-range trade-off. In practice this means you are not building a chain of compressors and EQs yourself; you are choosing how hard the automated chain works via the mastering level and target loudness, then judging the result through the analysis views.
A useful way to think about it: if your mix already has good balance but is simply too quiet, a moderate target loudness with a moderate mastering level will usually get you most of the way. If the mix itself has problems — muddy low end, harsh highs — mastering will make those more obvious rather than fix them, so address mix issues first.
Usage and plan context
| Signal | Value |
|---|---|
| Total users | 2,700+ (combined with bakuage.com) |
| Active users per day | 50+ (combined with bakuage.com) |
| Masterings per month | 3,600+ (combined with bakuage.com) |
| Free plan | $0 / month, unlimited mastering |
The free plan is explicitly listed as offering unlimited mastering, so cost is not a barrier to trying the workflow above. Note that the user and mastering statistics are stated as combined with bakuage.com, not as AI Mastering alone.
Common sticking points
- Skipping the analysis views. They are the only objective feedback the tool gives you; ignoring them turns mastering into guesswork.
- Pushing loudness too far. The limiter can raise level, but excessive target loudness costs dynamic range — the site frames this as a balance, not a one-way dial.
- Expecting mastering to fix a bad mix. The AI moves your track toward commercial sound quality; it does not repair arrangement, performance, or recording problems.
- Not auditioning on multiple systems. A master that sounds right in one pair of headphones may not translate elsewhere.