Commentary is the one narration job that happens while the thing it describes is still happening. These six carry pace and projection, and generation runs fast enough to keep up with live play.
Free to start!
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
Commentary runs ahead of the edit
Unlike every other narration job, sports commentary is generated against events that have only just occurred. Synthesis starts in around 200 milliseconds and runs at 3.3 times real time, so audio renders faster than it plays and the buffer stays ahead of the action. That margin is what makes automated commentary viable rather than merely fast.
Names are the hard part
Player names, club names and place names are where commentary fails, and they recur constantly. Pronunciation dictionaries fix each one once so every generation matches, which matters far more here than in scripted narration. Build the dictionary from the team sheet before the season, not during it.
Stadium and broadcast are different problems
A public address announcement has to survive a reverberant bowl, which favours a slower read around 0.9. Broadcast commentary sits over crowd noise and wants pace, usually 1.2 or above. Same category, opposite settings, and the script has to change with them.
Esports and automated highlights
Match highlights generated from event data need commentary produced per clip rather than per broadcast. The WebSocket transport streams audio as it renders, so a highlight package can be voiced at the moment it is assembled instead of being pre-recorded against every possible outcome.
Similar to
AI Sports Announcer Voices
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 News Anchor Voices
News delivery is judged on clarity before character. These six come from voices carrying both the narration and educational tags, the combination that suits reading information aloud rather than performing it.
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.
AI Voices for Ads & Commercials
Commercial reads are short, fast, and worth testing in variants. A thirty second spot is one or two requests, which makes producing four versions cheaper than booking one session.
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.
AI Voices for Live Narration & Streaming
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.
