openai-tts-pythonText-to-speech conversion using OpenAI's TTS API for generating high-quality, natural-sounding audio. Supports 6 voices (alloy, echo, fable, onyx, nova, shimmer), speed control (0.25x-4.0x), HD quality model, multiple output formats (mp3, opus, aac, flac), and automatic text chunking for long content (4096 char limit per request). Use when: (1) User requests audio/voice output with triggers like "read this to me", "convert to audio", "generate speech", "text to speech", "tts", "narrate", "speak", or when keywords "openai tts", "voice", "podcast" appear. (2) Content needs to be spoken rather than read (multitasking, accessibility). (3) User wants specific voice preferences like "alloy", "echo", "fable", "onyx", "nova", "shimmer" or speed adjustments.
Install via ClawdBot CLI:
clawdbot install merend/openai-tts-pythonGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://platform.openai.com/docs/guides/text-to-speechAudited Apr 17, 2026 · audit v1.0
Generated May 5, 2026
Converts written articles or blog posts into high-quality audio episodes using OpenAI TTS. Useful for content creators who want to quickly produce podcast versions of their written content, supporting multiple voices and HD quality for professional sound.
Provides text-to-speech for users with visual impairments or reading difficulties, enabling them to listen to digital content such as web pages, e-books, or documents. Integrates voice selection and speed control for personalized listening.
Generates spoken narration for educational materials, making lessons more engaging and accessible to auditory learners. Supports automatic chunking of long content and multiple output formats for compatibility with various platforms.
Produces natural-sounding voice responses for chatbots or IVR systems, enhancing user experience with expressive and customizable voices. Can handle dynamic text input and retries for reliability.
Enables independent authors to convert their manuscripts into audiobooks without expensive studio time. Uses HD model for crisp audio and supports batch processing for multiple chapters.
Offer the TTS integration as a premium feature within a larger platform or as a standalone API service. Users pay a monthly fee for a certain number of characters converted or for access to HD quality and additional voices.
Charge customers per character converted for audio files, with volume discounts for bulk usage. Ideal for businesses that need occasional TTS or have unpredictable demand.
Provide a service that automatically converts client's written content (blogs, newsletters) into branded audio files. Charge a monthly retainer plus per-episode fee, with human-like narration as a key differentiator.
💬 Integration Tip
You can quickly implement basic TTS with just 5 lines of Python using the openai library; for long texts, copy the provided auto-chunking function to handle content over 4096 characters.
Scored May 5, 2026
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