Announcing our Series A Funding

Announcing our Series A Funding

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.

VOICES FOR THIS USE CASE

Zoezoe
FemaleYoungAmerican
Best for EnglishUse voice
Leoleo
MaleYoungAmerican
Best for EnglishUse voice
Jennajenna
FemaleYoungAmerican
Best for EnglishUse voice
Owenowen
MaleYoungAmerican
Best for EnglishUse voice
Mollymolly
FemaleYoungAmerican
Best for EnglishUse voice
Wesleywesley
MaleYoungAmerican
Best for EnglishUse voice

The deepest English set

Forty three voices carry the American tag, making this the accent group with the most room to cast for tone rather than availability. Across a campaign you can vary voices without repetition, which the smaller accent groups do not allow.

Neutrality is audience dependent

American reads as the default international register for many audiences, and one voice in the catalog is explicitly tagged neutral. For Indian audiences that reverses: an Indian accent reads as neutral and American reads as foreign. Choose against the audience rather than a general notion of neutrality.

Language pairing and what it covers

Set language to en. These voices sit in the European family, which accepts ten European languages in total, though only English and Spanish are recommended within it. Anything beyond those two should be tested before you depend on it.

Consistent output at volume

Latency and audio quality are identical across every voice in the catalog, so performance is never a casting consideration. Output is 44.1 kHz mono natively, with PCM, MP3 and WAV available, plus ulaw and alaw where the audio is destined for a phone path.

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

American English AI Voices

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Seven British voices, listed in full rather than selected. Isla, Julia and Poppy are female, Alistair, Edward and Noah male. Enough for most projects, small enough to audition in five minutes.

Canadian English AI Voices

Three Canadian voices: Erica, Alec and William. That is the whole group. If you need more range in a North American register, the forty three American voices sound close.

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Five Australian voices, and all five are here. Chloe, Nyah and Sienna are female, Cooper and Flynn male. A small set, but enough to cast a project without repeating a voice.

Indian English AI Voices

One hundred and four voices carry an Indian accent, more than twice any other group. They handle English words inside Devanagari sentences without changing register, which is how Indian English is actually spoken.

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.

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.

Multilingual & Code-Switching AI Voices

Seventy two voices cover eleven Indic languages plus English, so one voice serves a Hindi caller and a Tamil caller without re-casting. Hindi and English can alternate inside a single sentence.

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

Forty three voices carry the American tag, the second largest accent group. Alice, Andrea and Avery are female, Albus, Alex and Blofeld male. This is the deepest English set in the catalog, so it is the easiest accent to cast for tone rather than availability.