AI voice notifications

Turn dynamic alerts into clear spoken notifications in real time.

  • Sub-300ms first-byte streaming
  • 1,500+ voices, 30+ languages
  • Synthesize dynamic text at runtime
  • From $6 per 1M characters

definition

AI voice notifications turn text alerts into spoken audio in real time. A delivery update, an appointment reminder, a system warning, or an in-app cue becomes a clear spoken message, synthesized from whatever the alert text says rather than a fixed library of recorded clips.

dynamic-content

Alerts contain values that change every time: a name, a time, an amount, a status. Because the notification is synthesized from live text, it speaks those values directly. There is no set of pre-recorded phrases to maintain and no gaps when the content is new.

real-time-delivery

A late alert is a useless alert. Streaming returns the first audio in under 300ms, so the spoken notification plays right when the event happens instead of lagging behind it.

reach

Deliver the same alert in a user’s preferred language by synthesizing with a multilingual voice across 30+ languages, so notifications are understood by a global audience.

pricing-note

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

FAQ

Frequently asked questions

Can I generate voice notifications from text?
Yes. Text-to-speech turns dynamic alerts into spoken notifications at runtime, reading whatever the alert text contains: a delivery update, an appointment reminder, or a system warning. Low-latency streaming keeps the spoken alert timely rather than delayed.
Can it speak dynamic content?
Yes. Because the notification is synthesized from live text, it can speak values that change per event: a name, a time, an amount. There is no fixed set of pre-recorded clips to maintain.
Can notifications be multilingual?
Yes. Synthesize the alert with a multilingual voice to deliver the same notification in a user's preferred language across 30+ languages.

Start building

Turn dynamic alerts into clear spoken notifications in real time.