Announcing our Series A Funding

Announcing our Series A Funding

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

Mishamisha
FemaleYoungIndian
Best for HindiUse voice
Kevalkeval
MaleYoungIndian
Best for HindiUse voice
Louislouis
MaleYoungFrench
Best for FrenchUse voice
Kareenakareena
FemaleYoungIndian
Best for HindiUse voice
Rakeshrakesh
MaleYoungIndian
Best for HindiUse voice
Alvaalva
FemaleYoungSwedish
Best for SwedishUse voice

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

Explore Voice Similar to

AI Voices for Podcast Generation

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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.

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 Meditation & Wellness

Guided audio lives on pacing rather than voice character. Speed goes down to 0.5, pauses come from how you write the script, and nine Indic languages are available for regional wellness content.

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 Accessibility & Screen Readers

Experienced screen reader users often run well above normal speed. Speed adjusts from 0.5 to 2.0, and nine Indic languages are covered, where assistive audio is thin across the whole industry.

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.

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 Meditation & Wellness

Guided audio lives on pacing rather than voice character. Speed goes down to 0.5, pauses come from how you write the script, and nine Indic languages are available for regional wellness content.

FAQs

Yes. Generate each speaker separately and stitch the segments in your editor. There is no single call that produces a two speaker exchange. Aditi and Chirag work well as a contrasting pair in Hindi, Erica and Lakshya in English.