For producers
Pro results at the speed of an idea
The quick master for the car, the stems for the remix, the tuned vocal for tomorrow's session. Euphona does the repetitive passes in minutes and hands you measured results to judge by ear.
What gets in the way
The reference bounce eats the session
A rough master so the artist can hear it in the car is twenty minutes you did not budget, on every revision. Automating exactly that twenty minutes is worth more than automating anything creative.
Automatic tools make claims you cannot check
Most of them hand back a louder file and a promise. If you cannot measure what came back, you cannot trust it on the next track either.
Five apps for one song
Separate in one app, tune in another, master in a third, and download, rename and re-upload in between. The exporting is pure overhead, and it is where versions get lost.
The workflow
How it goes
- 01
Measured, every time
Every upload is measured before anything runs: loudness and dynamics over time, true peak, tonal balance, stereo image, clipping and noise floor. Mastering builds its moves on those measurements, and every result is measured again on the file you get.
- 02
Chain services without exporting
Separate the mix, tune the extracted vocal, rebuild it in AI Mixing, master the result. Every output lands in your library and goes straight into the next service, with no download and re-upload in the middle.
- 03
Read the numbers, override the calls
Every job returns measured values, not intended ones: loudness, true peak and loudness range before and after, on the rendered file, and whether the target was met. Disagree with the target, the ceiling or the reference? Change it and run it again.
- 04
A/B level-matched, always
Every comparison is loudness-matched, because an unmatched A/B only tells you which one is louder. That rule applies to our own before and after too: we will not win a comparison we rigged.
The suite
The tools you would use
AI Mixing
A balanced first mix from your stems, in minutes.
AI Mastering
Loud, clear and ready for every streaming service, with the numbers to prove it.
Stem Separation
Pull any song apart into vocals, drums, bass, piano, guitar and the rest.
AI Vocal Tuning
Natural pitch correction that keeps the singer in the performance.
Questions
What people ask before starting
- Does it work from stems or only from a bounce?
- Both. From stems, AI Mixing moves elements against each other. From a stereo bounce, Stem Separation splits it first, and everything after works from the stems.
- Do I get the settings, or just the output?
- The output, its measurements, and every input you control: the target, the ceiling and the reference. The chain's internal settings stay ours; what it did is proven on the rendered file instead of described.
- How is a long session metered?
- By the length of the song, not the sum of its tracks. Twelve stems of a four-minute song is four minutes of processing, not forty-eight. Measuring an upload is never metered.
- Can I override what it chose?
- Everything the chain works from: the target, the ceiling and the reference. The report measures the result, so you can see whether the call was right and change it if it was not.
- Is there an API?
- Yes, asynchronous, with jobs, live progress and signed file URLs. If you are batching or wiring Euphona into your own tools, the API is the surface to use.
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