Text to speech for e-learning platforms

Give every course a consistent narrator and built-in captions.

  • Consistent narration across a course library
  • Speech marks for synced captions
  • 30+ languages for localization
  • From $6 per 1M characters

Definition

For an e-learning platform, text-to-speech is infrastructure: it narrates every course from its script, generates captions, and localizes content, all from the same API. A platform can then offer narrated, accessible, multilingual courses as a standard feature rather than a per-course production effort.

Consistency across a library

A platform hosts many courses, and they should sound coherent. Assign a voice ID so narration is uniform within a course and predictable across the catalog. When an author adds a module, it matches the rest without a re-record.

Captions built in

Accessibility is table stakes for a learning platform. Speech marks return word-level timing, so synced captions in WebVTT or SRT come straight from the narration across the whole library. See the e-learning page.

Localization at platform scale

Reach more markets by re-synthesizing course scripts with multilingual voices across 30+ languages. Because it is a synthesis job, a platform localizes a whole catalog as a batch rather than re-shooting each course. See the multilingual page.

Pricing

Per character, from $6 per 1M on Scale. See the pricing page.

FAQ

Frequently asked questions

How does an e-learning platform use text-to-speech?
An e-learning platform uses text-to-speech to narrate every course from its script in a consistent voice, generate synced captions from speech marks, and localize content into 30+ languages. This lets a platform offer narrated, accessible, multilingual courses without a studio for each one.
Can I add captions automatically?
Yes. Request speech marks with the narration to get word-level timing, then convert to WebVTT or SRT for synced captions across the whole course library, with no manual transcription.
How do I localize a course library?
Re-synthesize each course script with a multilingual voice for the target language. Because courses are text-driven, localizing a library is a batch synthesis job rather than re-recording every module.

Start building

Give every course a consistent narrator and built-in captions.

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