Create
Convert text to natural speech with GPT-4o mini TTS — voice-locked narration with the model's full voice catalogue.
Paste the script. Pick a voice. Hit play.
A text-to-speech model built on GPT-4o mini, a fast and powerful language model. GPT-4o mini TTS converts written text into spoken audio with natural prosody, breath, and pacing. Strengths: text-to-speech, steerability, low latency. The voice catalogue is read straight from the model — pick any voice the provider supports, and the orchestrator forwards the choice as a real model parameter (no string injection). Use this for podcast intros, video voiceovers, accessibility narration, and rapid prototyping of audio scripts.
Five steps to natural-sounding narration.
Common production homes for synthesized voice.
Tutorials & explainers
Generate a clean narration track for explainer videos in minutes instead of booking a booth.
Audio versions
Turn blog posts and docs into audio versions for accessibility-first audiences.
Branded openers
Generate consistent intro/outro reads — same voice every episode.
Indie line-bashing
Prototype NPC voice lines while you wait on real VO sessions.
Why people pick this model
GPT-4o mini TTS is consistently picked for text-to-speech — it shows up first on OpenAI's own published model card and again in real-world side-by-side tests.
Where it edges the competition
Steerability is the named differentiator on GPT-4o mini TTS versus other OpenAI releases — useful when this is the axis that actually matters for your output.
Concrete use-cases that justify a dedicated landing page.
And why pinning the model matters.
Text-to-speech models differ on prosody, pacing, and the "did a robot just say this?" tax. GPT-4o mini TTS ships with a voice catalogue you can pick from directly — bound to the model so the dropdown updates as the provider releases new voices. Strengths: text-to-speech, steerability, low latency. The orchestrator returns a single audio file; you download it or pipe it directly into the next tool.
Small adjustments that meaningfully improve output quality.
GPT-4o mini TTS is an AI text-to-speech model built by OpenAI. A text-to-speech model built on GPT-4o mini, a fast and powerful language model. On Gab AI it's available as a standalone, pinned tool — runs through the same orchestrator, credits, and file pipeline as chat.
Anyone with a Gab AI account can run GPT-4o mini TTS. Each run deducts the model's per-request credit cost from your balance — there's no surprise per-month fee.
Credit cost is set on the underlying GPT-4o mini TTS model, not on this tool. The form recalculates and displays the exact cost as you change voice selection and total characters, so you see the bill before you submit — never after.
Voice-use rights depend on OpenAI's terms for GPT-4o mini TTS — most voices are commercial-safe for content creation, but check the model card for restrictions on impersonation or political use.
No. GPT-4o mini TTS surfaces only the voices its provider exposes through the public catalogue. Voice cloning, where supported, is a separate tool with its own consent flow.
Because every model is different and the multi-model picker quietly hides those differences. Pinning GPT-4o mini TTS to its own tool gives you predictable cost, consistent style, and a fair lane for comparing one model's output against another's without confusing the cause of the difference.
Yes — every model gets the same kind of landing page. Use the catalog at /tools to browse all model-playground tools, or pick a different one from the related tools section below.
Every run lands in your Tool Runs (under My Library). You can revisit, download, fork, or continue any run in chat for follow-up work.
One model, one form, one good result.
Stop arguing with a model picker mid-project. Pin GPT-4o mini TTS as your engine of choice, run the form above, and let the orchestrator handle credits, file storage, and run history exactly the way it does for chat. Everything you generate is yours, saved to your Tool Runs, and ready to fork or continue.