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.
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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
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Model Specifications
Streaming transports
Output formats
Speed range
Sample rate
Latency
The largest tag in the catalog
One hundred and ninety five of 232 voices carry the conversational tag, which is 84 percent of the catalog. That breadth is also its weakness as a filter: almost everything qualifies, so narrowing a shortlist usually means using accent, language or age rather than this tag.
Where the rest of the latency lives
Synthesis is usually the smallest component of a conversational turn. Speech recognition and the language model generating the reply typically account for more. Measuring the whole turn before optimising the voice layer avoids work that improves a number nobody was waiting on.
What conversational means technically
In a real time application it means responding inside the pause a person expects, which requires streaming rather than batch generation. First audio arrives in around 200 milliseconds on the SSE and WebSocket transports. The synchronous endpoint waits for the full clip, and that delay is audible in dialogue.
Casting for extended interaction
A voice heard once in a video and a voice heard across a twenty turn conversation are judged differently. Character that seems appealing in a sample can become tiring over a session. Auditioning a realistic exchange rather than a single line is the more useful test.
Similar to
Conversational Voices
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.
Warm Voices
There is no tone field in the catalog, so these were chosen by listening rather than filtered. Warmth is a property of the voice, not a setting, which makes casting the decision that counts.
Professional Voices
Corporate narration needs consistent terminology more than it needs a particular tone. Pronunciation dictionaries fix brand and product names once, so every module in a library matches the first one.
Young Voices
One hundred and forty six voices are tagged young, 63 percent of the catalog, across every accent and all twelve recommended languages. Unlike tone, age is a real tagged field rather than an inference.
AI Voices for Voice Chatbots
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.
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.
