Announcing our Series A Funding

Announcing our Series A Funding

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.

VOICES FOR THIS USE CASE

Rubyruby
FemaleYoungAmerican
Best for EnglishUse voice
Kelseykelsey
FemaleYoungAmerican
Best for EnglishUse voice
Mishamisha
FemaleYoungIndian
Best for HindiUse voice
Sukhdeepsukhdeep
MaleYoungIndian
Best for HindiUse voice
Letícialeticia
FemaleYoungBrazilian
Best for PortugueseUse voice
Pratikpratik
MaleYoungIndian
Best for HindiUse voice

Pace suits the format

Short form rewards momentum, and speed adjusts from 0.5 to 2.0. Settings between 1.1 and 1.3 read as energetic across most of the catalog without losing intelligibility. Above roughly 1.5 longer sentences start to blur, which matters more in a fast cut than in narration.

Revising after the edit

Scripts change after the first cut, and regenerating a line takes about a second. Because requests cap at 250 characters, generating line by line rather than as one block makes retiming a section straightforward. You replace the affected line rather than the whole track.

A small tagged pool

Four voices carry the social media tag, which is the thinnest use-case group in the catalog. Casting beyond those four means drawing from the conversational pool and judging by ear. There is no tone field, so a shortlist has to be auditioned rather than filtered.

Monetisation and disclosure

Generated audio does not by itself create a monetisation problem, since platforms assess originality across the whole video. Commercial use is covered by paid plans. Disclosure requirements vary by platform and change, so it is worth confirming the current rules for where you publish.

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

AI Voices for YouTube Voiceover

FOR EXPLAINER & PRODUCT DEMO VIDEOS

Explainer scripts get rewritten after the first cut. Generating line by line means a late change costs one line rather than a re-record, and audio arrives in about a second at 44.1 kHz.

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.

AI Voices for Podcast Generation

Podcast production is segment based already, which suits generation in short calls. Intros and ad reads generate once and cache, and pairing contrasting voices produces a two-hander without booking two people.

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.

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.

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.

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.

AI Voices for Voice Agents

Voice agents live or die on the pause before a reply. Synthesis starts in about 200 milliseconds and runs at 3.3 times real time, which leaves the budget where it usually belongs: your model.

AI Voices for Announcements & Public Transport

Announcements are heard in reverberant halls and repeated thousands of times. Pronunciation dictionaries fix station and place names permanently, ulaw and alaw feed public address hardware directly, and one voice carries a full multilingual chain.

AI Voices for Batch Voiceover Pipelines

At volume the cost driver is duplication, not generation. Hashing text and skipping what already exists removes most of it, since catalog and template work repeats the same phrases constantly.

FOR EXPLAINER & PRODUCT DEMO VIDEOS

Explainer scripts get rewritten after the first cut. Generating line by line means a late change costs one line rather than a re-record, and audio arrives in about a second at 44.1 kHz.

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.

AI Voices for Podcast Generation

Podcast production is segment based already, which suits generation in short calls. Intros and ad reads generate once and cache, and pairing contrasting voices produces a two-hander without booking two people.

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.

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.

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.

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.

AI Voices for Voice Agents

Voice agents live or die on the pause before a reply. Synthesis starts in about 200 milliseconds and runs at 3.3 times real time, which leaves the budget where it usually belongs: your model.

FAQs

Four voices carry the social media tag: Bellatrix and William for English, Yash and Chinmay for Hindi. Chinmay is worth noting for a practical reason, since searching the console for that name also returns Chinmayi. Speeds above 1.0 suit shorter formats where pace holds attention.