Announcing our Series A Funding

Announcing our Series A Funding

Cheerful Voices

Only six voices in the catalog show cheerful or positive markers, the thinnest tone signal available. Speed slightly above 1.0 lifts almost any voice, which is the more dependable route.

VOICES FOR THIS USE CASE

Bethanybethany
FemaleYoungBritish
Best for EnglishUse voice
Jennajenna
FemaleYoungAmerican
Best for EnglishUse voice
Sahanasahana
FemaleYoungIndian
Best for HindiUse voice
Ketakiketaki
FemaleYoungIndian
Best for HindiUse voice
Rajibrajib
MaleYoungIndian
Best for HindiUse voice
Seraphinaseraphina
FemaleYoungBritish
Best for EnglishUse voice

The thinnest group in the catalog

Only six voices show cheerful or positive markers in the underlying data, which is the smallest tone signal available and covers a fraction of the catalog. Casting beyond those six means judging by ear, since there is no tone field to filter on.

Where it belongs

Advertising, social content and confirmation messages are the common cases. Four voices carry the social media tag and six the entertainment tag, and those groups are the practical place to start. Producing two or three variants and testing is more reliable than selecting on description.

Speed lifts most voices

A setting slightly above 1.0 reads as brighter across almost any voice, and speed is the only delivery control there is. That makes pace a more dependable route to a cheerful read than casting, particularly given how little the catalog describes about tone.

Casting a bright read in Indic languages

The voices here cover English and Hindi. Across the catalog 144 voices carry an Indic recommendation, so a bright read can be cast in the regional Indian languages as well, though again by listening rather than by any filter the catalog provides.

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

Cheerful Voices

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.

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.

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.

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.

AI Voices for Ads & Commercials

Commercial reads are short, fast, and worth testing in variants. A thirty second spot is one or two requests, which makes producing four versions cheaper than booking one session.

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.

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.

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.

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.

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.

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.

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.

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.

AI Voices for Ads & Commercials

Commercial reads are short, fast, and worth testing in variants. A thirty second spot is one or two requests, which makes producing four versions cheaper than booking one session.

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.

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.

FAQs

Six voices in the catalog carry cheerful or positive markers, and Christine and Andrea are the clearest of them in English, Aarushi in Hindi. That data covers only a small part of the catalog, so treat this as a starting shortlist. Speeds slightly above 1.0 lift almost any voice.