Announcing our Series A Funding

Announcing our Series A Funding

Male Voices

One hundred and twenty male voices across every accent group and all twelve recommended languages. Most carry an Indic recommendation, which is unusual in catalogs that treat Indian languages as an afterthought.

VOICES FOR THIS USE CASE

Lukeluke
MaleYoungAmerican
Best for EnglishUse voice
Asherasher
MaleYoungAmerican
Best for EnglishUse voice
Avirajaviraj
MaleYoungIndian
Best for HindiUse voice
Vyomvyom
MaleYoungIndian
Best for HindiUse voice
Callumcallum
MaleYoungBritish
Best for EnglishUse voice
Samsam
MaleYoungBritish
Best for EnglishUse voice

One hundred and twenty voices

Male voices are 52 percent of the catalog and cover every accent group and all twelve recommended languages. Albus, Alec and Alistair sit in the English registers; Aadhav, Abir and Aneer cover Hindi and the wider Indic set.

Speed and its limits

Speed runs from 0.5 to 2.0 and is the only delivery control. Below 1.0 reads as more considered, above 1.2 as more urgent, and beyond roughly 1.5 intelligibility suffers on longer sentences. There is no pitch parameter, so depth is a casting decision.

On the voice people ask about

Searches for the male AI voice usually refer to a specific narration voice popular on short form video, which is a particular product rather than a general category. If that sound is what you are after, the closest equivalents here are the mature English voices, which should be auditioned directly.

Indic coverage

A majority of male voices carry an Indic recommendation, covering Hindi, Tamil, Telugu, Kannada, Malayalam, Marathi, Gujarati, Punjabi, Odia and Bengali. For Indian language products that depth is unusual, since most catalogs treat Indic languages as an afterthought rather than a primary set.

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

Male Voices

Female Voices

One hundred and one female voices, spanning six accent groups and all twelve recommended languages. At that scale accent and language usually constrain casting more than gender does.

Deep Voices

Worth saying plainly: nothing in the catalog records pitch, so these six were chosen by ear rather than filtered. There is no pitch control either, so depth is a casting decision.

Mature Voices

Eighty six voices are tagged mature, and twenty also carry the narrative tag. That overlap is the usual starting point for audiobooks and documentary work, where consistency shows over hours rather than seconds.

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.

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.

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.

Young Voices

One hundred and forty six voices are tagged young, 63 percent of the catalog, across every accent and all twelve recommended languages. Unlike tone, age is a real tagged field rather than an inference.

Expressive Voices

There is no emotion parameter, so range comes from the voice and from how the line is written. Fourteen voices carry the character tag, and those have the widest delivery available.

Friendly Voices

For Indian customer facing work the deciding factor is not tone but language. These voices switch between Hindi and English mid sentence, which reads as considerably more natural than either alone.

Serious Voices

For compliance and legal reads the goal is that exact wording lands, not that the voice sounds grave. A speed near 0.9 improves intelligibility more than any casting choice.

Female Voices

One hundred and one female voices, spanning six accent groups and all twelve recommended languages. At that scale accent and language usually constrain casting more than gender does.

Deep Voices

Worth saying plainly: nothing in the catalog records pitch, so these six were chosen by ear rather than filtered. There is no pitch control either, so depth is a casting decision.

Mature Voices

Eighty six voices are tagged mature, and twenty also carry the narrative tag. That overlap is the usual starting point for audiobooks and documentary work, where consistency shows over hours rather than seconds.

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.

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.

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.

Young Voices

One hundred and forty six voices are tagged young, 63 percent of the catalog, across every accent and all twelve recommended languages. Unlike tone, age is a real tagged field rather than an inference.

Expressive Voices

There is no emotion parameter, so range comes from the voice and from how the line is written. Fourteen voices carry the character tag, and those have the widest delivery available.

FAQs

That question usually refers to the narration voice popular on short form video, which is a specific product rather than a general one. If you are after something similar, one hundred and twenty male voices are available here. Albus and Alec read as measured in English, Aadhav and Abir in Hindi and Indic languages.