Marketing ops · Production

Algolia Academy translates 58 video courses into multiple languages in two months using Descript AI voices

The problem

Algolia's customer academy was English-only despite serving a global audience, and translating 58 courses at scale was complex — traditional localization required weeks of onboarding to specialized tools, AI voices from alternative providers sounded artificial, and any content update required bringing back original speakers for re-recording.

First attempt

Alternative translation providers offered AI voices that sounded too obviously artificial, failing to meet the quality bar required by both the global audience and Algolia's CEO.

Workflow diagram · grounded in source
1
Localization opportunity identified
trigger
“With that breakout success brought the opportunity to scale even further with localized versions of their 58 courses”
2
AI video editing for short-form
ai_action
“Descript's simple interface, text-based editing, and one-click AI video editing actions makes it easy to cut their long courses into quick, snappy short-form videos”
3
AI voice cloning for updates
ai_action
“with Descript's AI voice cloning, video editors don't need the original speaker. They just change a word or phrase, and the platform generates it in a realistic replica of the speaker's voice”
4
Bulk AI translation
ai_action
“Descript's easy-to-use translation allow's Gabriel's team to translate captions and audio into four languages at once”
5
Native speaker review
human_review
“Gabriel can invite native speakers from across the company to help with editing and reviews, without training or steep learning curves”
6
Localized videos published
output
“The French Academy launched inside of two months, and they're already scaling the same process for German, Spanish, and Portuguese-speaking markets”
Reported outcome

Using Descript, Algolia saved 116 hours of video production time, published 58 translated videos in two months, and their French Academy videos outperformed English originals with 93% retention and 94% course completion versus 83% and 88% for English.

Reported metrics
Video production time saved116 hours
Translated videos published58
French Academy retention rate93%
French Academy course completion94%
Show all 8 reported metrics
video production time saved116 hours
translated videos published58
French Academy retention rate93%
French Academy course completion94%
English Academy retention rate (baseline)83%
English Academy course completion (baseline)88%
time saved per 5-minute video30 minutes
hours saved on English Academy updates29 hours
Reported stack
DescriptAI voice cloning
Source
https://www.descript.com/customers/algolia
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Using Descript, Algolia saved 116 hours of video production time, published 58 translated videos in two months, and their French Academy videos outperformed English originals with 93% retention and 94% course completi…

What tools did this team use?

Descript, AI voice cloning.

What results were reported?

Video production time saved: 116 hours; Translated videos published: 58; French Academy retention rate: 93%; French Academy course completion: 94% (source-reported, not independently verified).

What failed first in this deployment?

Alternative translation providers offered AI voices that sounded too obviously artificial, failing to meet the quality bar required by both the global audience and Algolia's CEO.

How is this marketing ops AI workflow structured?

Localization opportunity identified → AI video editing for short-form → AI voice cloning for updates → Bulk AI translation → Native speaker review → Localized videos published.

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