Prompt-to-voice: describe the voice, get the speech

OpenAI's prompt-to-voice turns a text prompt into spoken audio in a single request — plus 9 new GPT-Live voices. Here's what it is, and how it compares to the other direction: unmuss turns your speech into structured text.

The demo works the reverse direction — speak, get clean text back. Prompt-to-voice goes text → speech; unmuss goes speech → text.

What is prompt-to-voice

In October 2026, OpenAI added a prompt-to-voice capability to its GPT-Live service. Instead of picking a voice from a preset list and tuning sliders, you describe what you want in plain text — "a warm narrator, unhurried, slight smile in the voice" — submit your script, and get streaming audio back in one request.

It collapses two old steps into one: voice design and speech synthesis happen in the same call. For developers, that means fewer moving parts between "I need a voice for this character" and hearing it. For everyone else, it's the moment TTS stopped being a menu of presets and started being a directing exercise.

The 9 new GPT-Live voices

Alongside prompt-to-voice, OpenAI added nine natural-sounding voices covering a range of accents, genders, and tonal qualities:

Voice Character
Nova Warm, friendly female voice with a subtle American accent.
Atlas Deep, resonant male voice, suited for narration.
Luna Soft, neutral voice — a fit for meditation apps.
Ravi Indian English voice with clear diction.
Yara Middle-Eastern accent voice for regional content.
Kai Crisp, East-Asian English voice.
Sofia European Spanish voice with natural intonation.
Mateo Latin American Spanish voice.
Jin Mandarin Chinese voice with smooth cadence.

How to use it

  1. 1. Describe the voice in a prompt — role, accent, pace, energy. The more specific the direction, the closer the result.

  2. 2. Send your text in the same request — the API streams audio back, so playback can start before generation finishes.

  3. 3. Iterate on the prompt, not on settings — when a line sounds off, rewrite the direction ("warmer", "slower here") instead of hunting for the right slider.

Prompt-to-voice vs traditional TTS

Traditional TTS Prompt-to-voice
Voice selection Pick from a preset list Describe the voice you want
Tuning Sliders: speed, pitch, pauses Rewrite the direction in words
New character voices Wait for the vendor to add them Prompt a new one on the spot
Best for Consistent brand voice at scale Games, characters, rapid prototyping

Who it's for — and who it's not for

For

Virtual assistants, interactive games, accessibility tools, and anyone who needs a new voice per character without booking voice actors.

Not for

Going the other direction. If your problem is spoken audio you need as clean text — meetings, interviews, voice memos — that's the speech-to-text side, which is what unmuss does.

Frequently asked questions

Is prompt-to-voice free?
It's an API feature, so usage is billed under OpenAI's API pricing — check OpenAI's pricing page for current rates. There's no separate free tier announced for it.
How is this different from voice cloning?
Voice cloning copies a specific real person's voice from a sample. Prompt-to-voice designs a new voice from a description — no sample needed, and no consent questions about whose voice it is.
Can I use it in my own app?
Yes — that's the point of the API endpoint. One request takes your prompt plus text and streams audio back, which fits virtual assistants, games, and accessibility features.
What languages does it support?
The nine launch voices cover American English, Indian English, East-Asian English, European and Latin American Spanish, and Mandarin Chinese, among others. Check OpenAI's docs for the current list.
How does this relate to unmuss?
Opposite directions of the same voice pipeline. Prompt-to-voice turns text into speech; unmuss turns your speech into structured, cleaned-up text — try the demo at the top of this page. Full policy: /privacy/.

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Work with voice in both directions.

Prompt-to-voice speaks your words. unmuss writes down your thoughts — download it and stop losing ideas to thin air.

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