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As of 13 August 2026, AI can master your song for streaming.
This still needs a person who signs their name to it.
Can you do it?
15 minutesto a draft.
30 minutesto something you’d act on.
Cost, all in£0
Skill neededpower-user
Who has to check ityou
What the alternative costsA professional mastering engineer is not priced in the supplied data, so no pounds comparison is made.
If this goes wrong: the track sounds harsh, dull, quiet or over-compressed, so you return to the mix and make another master.
What to actually do
Hand it to a person
The route this page recommends
A person who owns the outcome does this end to end, worth it when the failure is dear.
Use a tool built for this
Second choiceDo it yourself
The distant thirdA chat interface, power-user skill, and roughly 30 minutes until you can act on the result.
How to actually do it
- Export the finished stereo mix from your DAW as a lossless WAV file without limiting it again on the master channel, and keep a copy of the unprocessed mix.
- Open an AI audio mastering tool that accepts an uploaded stereo mix, then upload the WAV and a suitable reference track from the same broad style.
- Paste the prompt into the tool and state the track name, genre, intended mood and any deliberate choices such as a quiet intro or wide backing vocals.
- Download the processed master and keep it alongside the original mix with clear filenames so you can compare them without overwriting the source.
- Open both files in an audio editor or DAW with loudness and peak metering, compare their overall level and inspect the loudest sections for clipping or audible pumping.
- Listen to both versions on headphones, ordinary speakers and at low volume, then check the vocal, bass, cymbals and quiet sections before accepting the AI version.
- If the master sounds worse or changes the musical balance, revise the mix or reduce the processing strength, export a new mix and repeat the check before sending the accepted file to your distributor.
Prompt
I am mastering a song for streaming. Use the attached final stereo mix and, if supported, return a mastered audio file rather than only written advice. Preserve the arrangement, vocal character and intended dynamics. Do not add audible distortion, clipping, pumping or excessive brightness. Use the attached reference track only to understand the broad tonal balance and dynamics, not to copy it. First identify any technical problems in the source mix, including clipping, unwanted noise, excessive low end, harshness and lack of headroom. Then apply a restrained master suitable for general streaming playback. Report the processing decisions, any warnings about the source mix, and the output file format and settings. If you cannot process audio directly, give me exact, conservative settings for an audio mastering tool or DAW instead, and clearly label anything I must check by ear. Do not claim that the result is release-ready until I have compared it on headphones, speakers and at low listening volume.
Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.
What it gets wrong
- AI cannot know whether a louder, brighter or more compressed master fits the emotional point of your song.
- It cannot reliably distinguish an intentional lo-fi texture from distortion that needs correcting.
- It does not hear how the master translates in your particular room, headphones and playback system.
- It cannot repair a weak arrangement, poor recording or problem in the mix without changing the music itself.
- It cannot take responsibility for the version you release under your name.
Even on a YES, the friction has a name: taste, verification cost and context depth.
How we scored this
Five axes, each scored nought to two by hand: ten means AI carries the task cleanly, and the thresholds that turn a total into YES, PARTLY or NO are published in the methodology. Each axis name links to its definition.
| Axis | Score (0–2) |
|---|---|
| Output | 2 |
| Inputs | 2 |
| Verification | 1 |
| Liability | 2 |
| Effort delta | 2 |
| Total | 9 / 10 |
The methodology and its thresholds are published in full.
FAQ
- Can AI master a song for Spotify?
- Yes. AI mastering software can process a finished stereo mix and produce a version intended for streaming playback. You still need to listen for clipping, pumping, harshness and changes to the song's character before release.
- Is AI mastering as good as a mastering engineer?
- It can produce a usable master and handle routine processing, especially when the mix is already strong. A mastering engineer adds judgement about musical intent, translation and unusual problems that automated processing may miss.
- What file do I give an AI mastering tool?
- Give it the finished stereo mix as a lossless WAV export, along with a reference track if the tool accepts one. Keep the unprocessed mix and avoid putting another final limiter on the export before the AI processes it.
- Should I use AI mastering on my song?
- Use it as a fast starting point or a practical option when your mix is already close to finished. Reject the result if it makes the vocal, bass, transients or dynamics worse, and make the final decision by listening on more than one playback system.
Nearby answers
Assessed by gpt-5.6-luna (gpt-5.6-luna) on 2026-08-13, second-checked by an independent model. Wrong somewhere? Email [email protected] and it gets re-checked.
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