AI Text to Speech

From text to a usable voice track

The old bottleneck in voiceover wasn't creative, it was logistics: cast a voice, book a booth, record, notice one mispronounced word, book again. Recording it yourself trades that for room noise, stumbles, and inconsistent delivery — often more work to edit than to record.

AI text to speech compresses that to one step: paste the text, pick a voice, get audio in seconds. Script changed? Generate again. Nobody to re-book.

This page runs several voice models — some with finer emotional control, some more natural in Chinese, some cheap enough for long-form. Re-running the same text on a different model usually finds the right one faster than tuning parameters on the wrong one.

Choose the voice by ear, not by name

The voice library filters by gender, age, accent, and language, and every voice previews before you commit. That sounds minor and isn't: you cannot tell from a name whether a voice suits your content.

Half of the naturalness lives in your text. Punctuation drives rhythm directly — a comma is a short pause, a period a longer one, a line break opens the gap between passages. To slow one sentence down, putting it on its own line is often more precise than touching the pace control.

Billing is per character rather than per run, so a full script goes in at once instead of being split and stitched back together.

When to reach for a different tool

This page turns text into speech using preset voices. Several jobs have better entry points:

• You need one specific voice — voice-clone takes a sample and creates that voice, which then reads any text.
• You want ambience or effects, not speech — the sound-effect tool generates those from a description.
• You want music or a song — the music generator writes a track, not a read.
• You need a person on screen to mouth it — lip-sync takes audio plus a face, far more reliable than describing mouth shapes in a video prompt.

A reasonable way to think about it

This page is almost always a link in a chain rather than the end of one: write the script, generate voice here, then line it up against picture on the canvas or hand it to lip-sync.

Which means the step worth your attention is the one before — the phrasing and punctuation of the script. Get the text right and the read usually lands first try; leave the rhythm messy and no amount of model-switching rescues it.