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
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
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AI Voices for YouTube Voiceover
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