AI Voices for Accessibility & Screen Readers
Experienced screen reader users often run well above normal speed. Speed adjusts from 0.5 to 2.0, and nine Indic languages are covered, where assistive audio is thin across the whole industry.

VOICES FOR THIS USE CASE
Pace belongs to the listener
Experienced screen reader users often prefer speeds well above 1.0, faster than most sighted designers would find comfortable. Speed is adjustable from 0.5 to 2.0, and the right decision is to expose that control rather than to choose a default on the user's behalf.
Predictability over personality
Assistive audio is heard constantly, so an expressive voice becomes tiring in a way it would not in narration. Consistency across renders matters more than character. There is also no emotion parameter, which in this context is closer to a feature than a limitation.
Indic language coverage
Nine Indic languages carry recommended voices. Screen reader support in Tamil, Telugu, Kannada, Malayalam, Marathi, Gujarati, Punjabi, Odia and Bengali is thin across the industry, which makes this the part of the catalog with the clearest accessibility argument behind it.
Building conformance yourself
There is no packaged accessibility integration. What exists is an API with speed control, twelve languages and streaming transports. Conformance work, including how audio is announced and interrupted, stays in your application. The voice layer supports that work rather than delivering it.
SPECIFICATION
Sample rate
44.1 kHz native, resampled to 8 kHz for telephony
Latency
~200 ms to first byte (p50, warm region)
Output formats
ulaw, alaw, PCM 16-bit, WAV, MP3
Streaming transports
WebSocket, HTTP chunked transfer
Speed range
0.5× – 2.0×, set per request
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