Mastering for Suno tracks
A track straight out of Suno often sounds close — but not released. Echoteka removes the marks generators leave (a separate, free cleanup run), masters to streaming loudness and shows you, in numbers, what changed.
Why AI tracks need their own mastering
Generated audio has a recognisable set of problems that a generic loudness maximiser makes worse, not better:
- Metallic ringing in cymbals, sibilants and reverb tails.
- Watery, smeared highs where the model or the stem separator lost detail.
- Uneven loudness between tracks generated in different sessions.
- Peaks close to 0 dBFS that distort after streaming encoders convert the file.
Pushing such a track louder brings the artifacts forward. That is why we suggest cleaning first and mastering second.
What happens to your track
- Analyse. Loudness, true peak, dynamic range, crest factor and stereo are measured on the file you upload. This step is free.
- Clean (optional, a separate run). In the lab choose “Clean AI artifacts”: it removes narrow high tones and block seams generators leave, keeps loudness as it is and is 1 free a day, then 1 credit per run — see what cleanup does. Then master the cleaned file.
- Shape. EQ, dynamics and width follow one of 24 sound profiles, or a reference track you choose.
- Limit. An oversampled true-peak limiter holds the ceiling at −1.0 dBTP.
- Verify. The master is measured again. If a target was missed, the report says so and says why.
The report you get
Every master comes with a before/after table: integrated loudness, true peak, loudness range, crest factor and stereo correlation, each with a status — target met, kept, or not reached. You can hand it to a distributor, a label or a collaborator.
If a Suno track also drifts in tempo, fix that first with Tempo fix: it gives the track one even BPM with the pitch kept. Then master it.
Rights and files
You keep all rights to your track. Echoteka processes the file only to deliver your master. Whether you may release a generated track depends on the terms of the service you generated it with — check your Suno plan before distributing. Suno states that songs made on its free plan are for non-commercial use only.
Listen: before / after
A real song made with Suno, 20 seconds. Switch while it plays — same moment, levels matched, so you hear the sound, not the volume.
| Whole song | Suno export | Echoteka master |
|---|---|---|
| Loudness | −13.6 LUFS | −14.0 LUFS |
| True peak | −3.2 dBTP | −2.8 dBTP |
| Loudness range | 5.1 LU | 4.1 LU |
This export was already near Spotify’s level, so mastering changed little: a touch more clarity, safe peaks — and 1 LU less range. Full breakdown. Track used with the author’s permission.
Which Suno files work?
Any WAV or MP3 you downloaded from Suno, whatever the model version. WAV gives the cleanest result; an MP3 works, but its encoding losses cannot be undone.
Will it make my track undetectable as AI?
No, and that is not the goal. Echoteka makes a track sound finished and measures the result; it does not hide where the music came from.
Can I master stems instead of the full mix?
Master the full mix first. If you separated stems, the denoiser in the lab’s advanced settings can reduce the watery noise separation leaves behind.
What does it cost?
Basic analysis is free, and you can master 1 track free every day with no account — see free AI mastering. The AI track check costs 1 credit. Signing up adds 3 bonus masters.
Other languages: Deutsch.