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.
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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
Assembling an episode
Requests cap at 250 characters, so a twenty minute episode is several hundred calls stitched in an editor. That sounds laborious but suits podcast production, which is segment based anyway. Intros, outros and ad reads should be generated once and cached rather than regenerated for every episode.
Sponsorship and licensing
Commercial use is covered by paid plans, but host read sponsorship is worth checking separately. Some advertiser contracts specify a human read, and a synthetic voice delivering a personal endorsement raises a question worth resolving before the campaign rather than after.
Two voices in conversation
There is no single call that produces a two speaker exchange. Generate each speaker separately and interleave the segments. Pairing voices with contrasting registers reads more naturally than two similar ones, and six voices carry the entertainment tag as a starting point for casting.
Audio quality for the feed
Output is 44.1 kHz mono. Take WAV into your edit so loudness normalisation and compression happen once at export rather than on an already compressed source. Podcast platforms re-encode on ingest, which makes the quality of your master more consequential than it first appears.
Similar to
AI Voices for Podcast Generation
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.
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.
For Explainer & Product Demo Videos
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.
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.
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.
American English AI Voices
Forty three American voices, the deepest English set in the catalog. Enough range to cast for tone across a campaign rather than reusing the same voice because nothing else fits.
