AI Voices for YouTube Voiceover

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.

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Youtube voice generator
RubyVerified
American · Female · Young
United States flagEnglish
Use voice
KelseyVerified
American · Female · Young
United States flagEnglish
Use voice
MishaVerified
Indian · Female · Young
India flagHindi
Use voice
SukhdeepVerified
Indian · Male · Young
India flagHindi
Use voice
LetíciaVerified
Brazilian · Female · Young
Brazil flagPortuguese
Use voice
PratikVerified
Indian · Male · Young
India flagHindi
Use voice
RubyVerified
American · Female · Young
United States flagEnglish
Use voice
KelseyVerified
American · Female · Young
United States flagEnglish
Use voice
MishaVerified
Indian · Female · Young
India flagHindi
Use voice
SukhdeepVerified
Indian · Male · Young
India flagHindi
Use voice
LetíciaVerified
Brazilian · Female · Young
Brazil flagPortuguese
Use voice
PratikVerified
Indian · Male · Young
India flagHindi
Use voice

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Narration is the one job where a voice has to hold up for hours rather than seconds. 163 of the 244 voices here carry the narration tag, the largest group in the catalog, across English, Hindi and nine other Indic languages.

1500+ voices to explore

Browse our full voice library and find the right tone, accent, and personality for your agent.

Model Specifications

Streaming transports

WebSocket, HTTP chunked transfer

WebSocket, HTTP chunked transfer

Output formats

.ulaw, .alaw, PCM 16-bit, .wav, .mp3

.ulaw, .alaw, PCM 16-bit, .wav, .mp3

Speed range

0.5× – 2.0×, set per request

0.5× – 2.0×, set per request

Sample rate

44.1 kHz native, resampled to 8 kHz for telephony

44.1 kHz native, resampled to 8 kHz for telephony

Latency

~200 ms to first byte (p50, warm region)

~200 ms to first byte (p50, warm region)

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.

Popular voices

Frequently asked questions

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.