OpenAI TTS

**Quick judgment** A focused, practical CLI skill for turning text into speech via OpenAI’s Audio Speech API. Well-suited for developers who are comfortable with shell scripts and curl and want fast access to high-quality TTS without writing application code. **Strengths** - Good feature coverage for a TTS wrapper: model selection (tts-1, tts-1-hd), 6 voices, multiple audio formats, speed control, and output handling. - Simple usage (`speak.sh "Text" --voice nova --model tts-1-hd --out speech.mp3`) makes it easy to integrate into shell scripts and automation. - Relies on OpenAI-hosted models, so no local model management or GPU requirements. **Risks / limitations** - Requires an OpenAI API key and incurs per-character costs; not ideal for massive or unconstrained usage without cost controls. - Sends text to OpenAI’s servers; not appropriate for data that must remain fully on-prem or under strict data residency constraints. - Depends on network connectivity and API availability; failures or latency are outside the skill’s control. - CLI-only and curl-based; less friendly for non-technical users or Windows users without a Unix-like environment. **Recommended scenarios** - Developers needing a quick TTS tool for demos, prototypes, or internal tooling. - Automation/CI scripts that need to generate short spoken messages or assets on the fly. - Content teams or engineers generating small batches of narration audio (e.g., prompts, notifications, micro-lessons) where cloud TTS and OpenAI terms are acceptable. **Less suitable for** - Strictly offline or on-prem environments, or highly sensitive text content. - Very large-scale batch TTS generation where cost and rate limits must be tightly optimized. - End-user-facing desktop workflows where a GUI or cross-platform installer is expected instead of a shell script.