Explainer scripts get rewritten after the first cut. Generating line by line means a late change costs one line rather than a re-record, and audio arrives in about a second at 44.1 kHz.
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
Short scripts, tight timing
Explainer scripts are written to picture, so the audio has to fit a cut rather than the other way round. Requests cap at 250 characters, which maps roughly to a single spoken sentence and encourages writing in beats. Generating line by line makes it easier to retime a section without re-rendering the whole track.
Matching a brand voice
There is no tone parameter, so a voice cannot be nudged toward a brand sound. The two routes are casting from the catalog, where 232 voices span six accent groups, or cloning a voice you already use in campaigns. Cloning requires consent from the person whose voice it is.
Iterating without a booth
Most explainer work involves several script revisions after the first edit. Regenerating a line takes about a second and costs the characters in that line, so late changes stop being expensive. That tends to change how teams write, since the cost of trying a different phrasing drops close to zero.
Formats for an editing timeline
Audio is 44.1 kHz mono natively. Take WAV rather than MP3 into an editing timeline so your export applies compression once rather than twice. MP3 is fine for review copies and client approvals, where file size matters more than the final quality of the master.
Similar to
For Explainer & Product Demo Videos
AI Voices for E-Learning
Course audio has to sound the same in module ten as in module one. These voices hold consistent across sessions, handle technical vocabulary through pronunciation dictionaries, and cover nine Indic languages alongside English.
AI Voices for YouTube Voiceover
Short form rewards pace, and speed adjusts up to 2.0. Scripts change after the edit, so generating line by line means retiming a section costs one line rather than the whole track.
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.
AI Voices for Podcast Generation
Podcast production is segment based already, which suits generation in short calls. Intros and ad reads generate once and cache, and pairing contrasting voices produces a two-hander without booking two people.
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.
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.
