A synthetic voice is speech produced by a model rather than recorded by a person. These six are a cross-section of the catalog: different accents, different languages, all generated the moment you press play.
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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
What synthetic means here
Every voice in the catalog is generated by a model at request time. Nothing is a stitched recording or a sampled clip, which is why the same voice can say text it has never encountered in a language it was not recorded in. That is also why output is consistent between runs in a way a human read never is.
What the model produces
44.1 kHz native, mono, with first audio in around 200 milliseconds and generation running at 3.3 times real time. Output is available as PCM, WAV, MP3, ulaw or alaw. Requests cap at 250 characters, so longer text is assembled from several calls.
Synthetic does not mean robotic
The two get conflated, and they are different things. Robotic speech is a deliberate effect, produced with pitch shifting and vocoding. There is no effects layer here and no pitch control, so these voices sound like people rather than machines. If you specifically want a machine-sounding voice, this is not the right tool.
Where synthetic beats recorded
Anywhere the script changes often, anywhere the same content ships in several languages, and anywhere audio has to be produced at a volume no booking schedule could absorb. A correction costs one line rather than a session, and 31 languages are available from one integration.
Similar to
Synthetic Voices
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.
AI Narrator 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.
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.
AI Voices for Batch Voiceover Pipelines
At volume the cost driver is duplication, not generation. Hashing text and skipping what already exists removes most of it, since catalog and template work repeats the same phrases constantly.
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.
Male Voices
One hundred and twenty male voices across every accent group and all twelve recommended languages. Most carry an Indic recommendation, which is unusual in catalogs that treat Indian languages as an afterthought.
