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.
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Narration is the one job where a voice has to hold up for hours rather than seconds. 163 of the 244 voices here carry the narration tag, the largest group in the catalog, across English, Hindi and nine other Indic languages.
1500+ voices to explore
Browse our full voice library and find the right tone, accent, and personality for your agent.
Model Specifications
Streaming transports
Output formats
Speed range
Sample rate
Latency
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.
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AI Voices for Accessibility & Screen Readers
AI Voices for E-Learning
Course audio has to sound the same in module ten as in module one. These voices hold consistent across sessions, handle technical vocabulary through pronunciation dictionaries, and cover nine Indic languages alongside English.
AI Voices for Announcements & Public Transport
Announcements are heard in reverberant halls and repeated thousands of times. Pronunciation dictionaries fix station and place names permanently, ulaw and alaw feed public address hardware directly, and one voice carries a full multilingual chain.
AI Voices for Audiobook Narration
A novel is thousands of requests stitched together, and the joins are where narration falls apart. These voices hold consistent across a full book and cover nine Indic languages that most vendors do not.
Calm Voices
Calm comes from pace more than from voice. Speed runs down to 0.5, and pauses come from punctuation rather than a parameter, so the script does as much work as the casting.
Conversational Voices
One hundred and ninety five voices carry the conversational tag, 84 percent of the catalog. Streaming is what makes them feel live: audio begins playing before the sentence has finished rendering.
Multilingual & Code-Switching AI Voices
Seventy two voices cover eleven Indic languages plus English, so one voice serves a Hindi caller and a Tamil caller without re-casting. Hindi and English can alternate inside a single sentence.
