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Voice

Vocal Separator

Elevate your content management workflow and unlock creativity with bit perfect quality vocal and instrumental separator.
By leveraging IRCAM-Centre Pompidou lab’s decades of audio signal expertise we’ve been able to build the ultimate musical maestro model achieving bit perfect deconstruction.

Vocal separator expertise

Demix instead of raw isolation

Beyond isolation, our separator is able to demix vocal and background tracks, resulting in bit perfect deconstruction with no quality loss, as the 2 output stems remixed will really equal the original material. Every bit of the extracted tracks remains untouched, you end up with authentic stems even if they haven’t been recorded as such!

Vocal separator

For records labels and publishers marketing and promotion management workflow, lyrics transcription and alignment, voice cloning and any other creative projects

SDR of 9.2 dB

Signal-to-Distortion Ratio is a popular metric used in academia for measuring separation quality. Our SDR outpermforms many of the industry (Sony, Meta, Deezer's Spleeter, ...)

API-First

Isolate vocals and background at scale, seamlessly integrated to your workflow

Start your
integration now

Fast and seamless integration into your app, software, or supply chain.

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Try before you
buy

Our free trial awaits, with 60 credits on sign-up you can take a complete ride, no credit card required

Pay as you go

The best way to start at your own pace.

Only pay for what you use.

Billed at month end.

Usage capped at 500 credits per month.

Subscription

Best value

Up to 50% off through recurring usage.

No time commitment.

Fee payable in advance.

Flexibly change your tier at any time.

For off package credits, a 25% markup will apply.

Enterprise

Tailored to your enterprise grade needs.

Custom pricing based on volume.

Priority support.

No concurrent processing restriction.

No usage cap.

Unlimited
Use cases

This is the starting point for any creative, marketing, or content creation workflow, restoration project, or spatialization.