Announcing our Series A Funding

Announcing our Series A Funding

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.

VOICES FOR THIS USE CASE

Milamila
FemaleYoungJapanese
Best for JapaneseUse voice
Ebbaebba
FemaleYoungSwedish
Best for SwedishUse voice
Vivianvivian
FemaleYoungChinese
Best for MandarinUse voice
Daisydaisy
FemaleYoungJapanese
Best for JapaneseUse voice
Zariyazariya
FemaleYoungIndian
Best for HindiUse voice
Joannajoanna
FemaleYoungPolish
Best for PolishUse voice

A two voice tag

Only two voices carry the meditative tag, which is too thin to build a page on. This set is drawn from the wider narrative pool and chosen by ear. There is no tone field in the catalog, so treat these as candidates to audition rather than a filtered result.

Sustained listening

Soothing content is heard for long stretches, often at low volume and often at night. A voice that seems pleasant across thirty seconds may not hold across twenty minutes. Testing a full session is the only reliable check, and it is worth doing before production.

Pace and silence

Speed runs down to 0.5, and around 0.7 suits soothing material. There is no pause parameter, so gaps come from punctuation. For this kind of content the silence does as much work as the speech, which makes the script structure a primary decision rather than an afterthought.

Regional language coverage

Nine Indic languages carry recommended voices, and 144 voices in the catalog have an Indic recommendation. Wellness and sleep content in regional Indian languages is thinly served elsewhere, which makes this one of the more defensible cases for the catalog's Indic depth.

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

Soothing Voices

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.

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.

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.

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.

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 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.

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.

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.

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.

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.

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.

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.

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.

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 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.

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.

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.

FAQs

Only two voices carry the meditative tag, so this set is drawn from the wider narrative pool and should be auditioned. Aarushi and Aditi in Hindi, Bellatrix and Alec in English. Pair any of them with a speed around 0.7 and deliberate punctuation, which does more for the effect than the voice choice alone.