openai-tts

Convert text to speech using OpenAI's API with selectable voices and tone controls.

Updated Jan 15, 2026
One-click install
npx skills add https://github.com/KaiserWhoLearns/skillsbench --skill openai-tts
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openai-tts
Source: https://github.com/KaiserWhoLearns/skillsbench/tree/main/tasks/pg-essay-to-audiobook/environment/skills/openai-tts
Command: npx skills add https://github.com/KaiserWhoLearns/skillsbench --skill openai-tts

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

OpenAI Text-to-Speech enables converting written content into natural-sounding audio for media production, accessibility, and automation.

Core Features & Use Cases

  • Supports multiple voices including coral, alloy, and more with tone and style controls.
  • Handles on-the-fly streaming and long text via chunking into audio outputs for audiobooks and podcasts.
  • Provides examples and usage patterns with OpenAI's Python client to generate audio files.

Quick Start

Provide the text, choose a voice, and generate the audio output.

Frequently Asked Questions about openai-tts

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert text to speech for an audiobook using OpenAI?

OpenAI text-to-speech converts written content into natural-sounding audio by leveraging the OpenAI API. It handles long text via chunking to produce audiobook and podcast audio outputs.

Do I need an OPENAI_API_KEY to generate audio?

Yes, you must configure the OPENAI_API_KEY environment variable to access OpenAI's text-to-speech capabilities. This API access is required to authenticate requests and generate natural audio outputs.

Can I select different voices and control the tone for audio generation?

Yes, audio generation supports multiple voices including coral and alloy with optional tone and style controls. You can customize the speech output to match voiceovers, podcasts, and accessibility narration requirements.

What is the best way to handle long text for podcast audio generation?

The best way to handle long text for podcast audio generation is by chunking the text into smaller audio outputs. This OpenAI text-to-speech approach manages on-the-fly streaming and long passages effectively.

How do I generate audio files using the OpenAI Python client?

You generate audio files by providing text, choosing a voice, and executing the audio output generation. This Skill provides usage patterns with OpenAI's Python client to automate text-to-speech audio file creation.

Does this text-to-speech tool support on-the-fly streaming for voiceovers?

Yes, this text-to-speech tool supports on-the-fly streaming for voiceovers. It leverages OpenAI's API to handle both real-time streaming and long text chunking for flexible audio generation.