Web chat is unusual because the visitor reads and listens at once. These voices suit an unhurried delivery, begin playing in about 200 milliseconds over WebSocket, and cover twelve languages from one integration.
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German AI Voices
Female Voices
Warm Voices
AI Voices for Podcast Generation
British English AI Voices
AI Voices for Documentary Voice Over
Calm Voices
Australian English AI Voices
AI Voices for Gaming & Character Voices
Professional Voices
AI Narrator Voices
Cheerful Voices
AI Voices for Customer Support Automation
Authoritative Voices
AI Voices for Meditation & Wellness
Gravelly AI Voices
AI Voices for YouTube Voiceover
Indian English AI Voices
AI Voices for Movie Trailers
Friendly Voices
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
Why chat is harder than narration
A narrator can be a second late and nobody notices. A chatbot cannot. Replies have to begin inside the pause a person expects in conversation, which means streaming rather than waiting for a complete file. Audio starts in about 200 milliseconds on the streaming endpoints, which is inside that window.
Handling a multilingual audience
Voices in the Indic family cover eleven Indic languages plus English, so one voice can answer a Hindi visitor and a Tamil visitor without re-casting. Switching the language parameter carries no latency penalty. The boundary is the European family, which those voices do not reach.
Voices that suit reading along
Web chat is unusual in that the visitor often reads the text while hearing it. That favours an unhurried delivery over an animated one, since the two channels compete for attention. 195 voices carry the conversational tag, which is the broadest group in the catalog and the right place to start casting.
Caching the predictable parts
Most chatbot output is repetitive. Greetings, confirmations and closings recur across nearly every session, and generating them repeatedly is wasted. Hashing the text and caching the audio removes most of the recurring cost, and it also makes those common replies instant rather than merely fast.
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AI Voices for Voice Chatbots
AI Voices for Voice Agents
Voice agents live or die on the pause before a reply. Synthesis starts in about 200 milliseconds and runs at 3.3 times real time, which leaves the budget where it usually belongs: your model.
AI Voices for Customer Support Automation
Support calls reach people who are already inconvenienced, often on a poor line. These voices favour clarity over character, hold steady across renders, and move between Hindi and English the way callers actually do.
IVR Voice Generator
IVR prompts are written once and heard thousands of times, which makes them worth getting right and expensive to re-record. Generating them takes about a second each and costs nothing to revise.
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.
Friendly Voices
For Indian customer facing work the deciding factor is not tone but language. These voices switch between Hindi and English mid sentence, which reads as considerably more natural than either alone.
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.
