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.

VOICES FOR THIS USE CASE
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.
SPECIFICATION
Sample rate
44.1 kHz native, resampled to 8 kHz for telephony
Latency
~200 ms to first byte (p50, warm region)
Output formats
ulaw, alaw, PCM 16-bit, WAV, MP3
Streaming transports
WebSocket, HTTP chunked transfer
Speed range
0.5× – 2.0×, set per request
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AI Voices for Podcast Generation
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