Announcing our Series A Funding

Announcing our Series A Funding

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.

VOICES FOR THIS USE CASE

Dylandylan
MaleYoungChinese
Best for MandarinUse voice
Maksimmaksim
MaleYoungRussian
Best for RussianUse voice
Sebastiánsebastian
MaleYoungCastilian
Best for SpanishUse voice
Yogeshyogesh
MaleYoungIndian
Best for HindiUse voice
Sasanksasank
MaleYoungIndian
Best for HindiUse voice
Jakubjakub
MaleYoungPolish
Best for PolishUse voice

What the catalog cannot tell you

Being straight about this: there is no pitch or timbre field in the catalog, so nothing filters for depth. The voices listed here were chosen by ear from mature male voices and should be auditioned rather than trusted. Any page claiming a filtered list of deep voices is describing something the data does not support.

Where depth tends to sit

In practice the mature age group is the more productive place to look, with 86 voices carrying that tag. That is a correlation rather than a rule, and several young voices read as deeper than mature ones. The only reliable method is listening.

No pitch parameter either

A voice cannot be lowered after generation. There is no pitch control, so depth comes entirely from the voice you cast. Speed, from 0.5 to 2.0, is the only delivery adjustment, and while slowing a read makes it feel weightier, it does not change the pitch.

Coverage across languages

These voices span English, Hindi, Tamil, Odia and Bengali, so the shortlist is not English only. Across the catalog 144 voices carry an Indic recommendation, which means depth can be cast for in regional languages as well, again by ear rather than by filter.

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

Deep Voices

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.

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.

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.

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 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.

Soothing Voices

Only two voices carry the meditative tag, so this set is drawn wider and chosen by ear. Pace matters more than casting: around 0.7 suits most soothing material.

Calm Voices

Calm comes from pace more than from voice. Speed runs down to 0.5, and pauses come from punctuation rather than a parameter, so the script does as much work as the casting.

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.

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.

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.

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.

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.

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 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.

Soothing Voices

Only two voices carry the meditative tag, so this set is drawn wider and chosen by ear. Pace matters more than casting: around 0.7 suits most soothing material.

Calm Voices

Calm comes from pace more than from voice. Speed runs down to 0.5, and pauses come from punctuation rather than a parameter, so the script does as much work as the casting.

FAQs

Worth being straight about this: the catalog has no pitch or timbre field, so no filter returns deep voices. The six listed here were chosen by ear from mature male voices and should be auditioned rather than trusted. There is also no pitch parameter, so a voice cannot be lowered after the fact. Speed is the only delivery control.