Generation runs at 3.3 times real time, so audio renders faster than it plays and the buffer stays ahead. First audio arrives in about 200 milliseconds over SSE or WebSocket.
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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
Generation outruns playback
Synthesis runs at 3.3 times real time, so audio renders faster than it plays and the buffer stays ahead of the listener. First audio arrives in around 200 milliseconds. For live commentary that margin is what makes continuous delivery possible rather than merely fast.
Planning for a dropped connection
A socket closing mid stream leaves playback truncated, and that decision belongs in your application. Retry, fall back to a cached holding clip, or fail silently are the options. For live narration a short pre-rendered holding line is usually better than dead air while a retry completes.
Transport decides the experience
The synchronous endpoint waits for a complete clip, which is fine for files and wrong for live work. Use SSE for one directional streaming, or WebSocket where text arrives incrementally and playback should begin mid sentence. On live material the pause before audio is the thing listeners notice.
Writing for a 250 character window
Requests cap at 250 characters, so continuous narration is a sequence of short calls rather than one long stream. That suits live commentary, which is naturally clause by clause, but it does mean your text pipeline needs to segment sensibly rather than cutting mid phrase.
Similar to
AI Voices for Live Narration & Streaming
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 Gaming & Character Voices
Pre-rendering every branch means shipping every branch. WebSocket streaming lets dialogue generate during play instead, so a conversation tree costs what players actually hear rather than what they might.
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 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.
Energetic Voices
Speed is the reliable lever here, not casting. Settings between 1.2 and 1.4 lift almost any voice in the catalog, though longer sentences start to blur past roughly 1.5.
Authoritative Voices
Slowing down reads as more authoritative than speeding up. A setting near 0.9 does more than any voice choice, and short declarative sentences carry more weight than qualified ones.
