Announcing our Series A Funding

Announcing our Series A Funding

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.

VOICES FOR THIS USE CASE

Reevareeva
FemaleYoungIndian
Best for HindiUse voice
Joannajoanna
FemaleYoungPolish
Best for PolishUse voice
Kevalkeval
MaleYoungIndian
Best for HindiUse voice
Sambitsambit
MaleYoungIndian
Best for HindiUse voice
Nilanila
FemaleYoungIndian
Best for HindiUse voice
Mikamika
MaleYoungFinnish
Best for FinnishUse voice

Warmth is not a field

The catalog has no tone attribute, so warmth cannot be filtered for and these voices were selected by ear. That is worth stating plainly rather than presenting an inferred list as a filtered one. Audition all six, since the differences between them are not documented anywhere.

Where warmth is usually wanted

Audiobooks, customer support and wellness content are the common contexts, and they pull in different directions. A voice that reads as warm in a support call may be too intimate for narration. Testing against your actual material matters more than a general judgment of tone.

It is a property, not a setting

There is no tone or emotion parameter, so a voice cannot be made warmer after generation. Casting is the decision. The only related control is speed, and slowing slightly below 1.0 tends to read as warmer, though it is a weaker lever than choosing a different voice.

Matching a voice you already use

If your brand already has a warm voice, cloning reproduces it directly rather than approximating it from the catalog. That is the only route to a specific tone, since nothing in the API adjusts toward one. Cloning requires consent from the person whose voice it is.

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

Warm Voices

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.

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.

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.

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.

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 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.

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.

Energetic Voices

Speed is the reliable lever here, not casting. Settings between 1.2 and 1.4 lift almost any voice in the catalog, though longer sentences start to blur past roughly 1.5.

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.

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.

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.

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.

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.

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 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.

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.

FAQs

There is no tone field in the catalog, so warmth cannot be filtered for and this set was chosen by ear. Aarushi and Aditi in Hindi, Bellatrix and Alec in English. Warmth is a property of the voice rather than a setting, so cloning is the only way to match a specific tone you already use.