Customers

Teams that ship audio on deadline

Agencies, studios, e-learning teams, and developers use Voice Production AI to turn scripts into broadcast-ready voice in minutes. Here's what that looks like in practice.

Trusted by creative and product teams

Studio ACreative CoMediaGroupAdAgencyPodcastLab

In their words

Why teams switch to Voice Production AI

Real workflows, faster turnarounds, and audio that ships without an apology.

We replaced a week-long voiceover loop with same-day renders. When a client wants a copy change at 5pm, we deliver the new cut before we log off.
MCMaya ChenCreative Director, Northbeam Agency
Cloning our host once meant every episode intro is consistent, even when she is traveling. The denoise and loudness pass alone saved our editor hours a week.
DPDevon ParkExecutive Producer, Longwave Podcasts
The API dropped straight into our localization pipeline. We generate UI prompts in 14 languages on every release without touching a recording booth.
PNPriya NairStaff Engineer, Cartograph
SSML control is the difference-maker. We direct pacing and emphasis like a script, so narration actually sounds written for the ear, not read off a page.
TBTomas BelicHead of Content, Brightpath Learning
Workspaces and a shared library keep five freelancers and our in-house team on the same brand voices. No more emailing WAV files around.
ARAnita RaoProducer, Studio Verde
Budget that used to disappear into talent day-rates now covers more creative. We pitch more concepts because rendering one more is essentially free.
LOLiam O’ConnorFounder, Halftone Creative

Case studies

Outcomes, not just opinions

A closer look at how two teams changed their production economics.

AdvertisingNorthbeam Agency

70%

faster voiceover turnaround

By moving scratch and final voiceovers in-house with Voice Production AI, Northbeam cut its average campaign audio turnaround from five days to a day and a half — and stopped paying per-revision booth fees.

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E-learningBrightpath Learning

4x

more courses localized per quarter

Brightpath used batch generation and the API to narrate course modules across 12 languages. With a consistent set of cloned instructor voices, they quadrupled localized output without growing the production team.

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See Voice Production AI on your own scripts

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