Kokoro enables high-quality local text-to-speech on CPUs with OpenAI-compatible APIs and Docker deployment

A tutorial shows how to run Kokoro, an 82M-parameter text-to-speech model, entirely on a local CPU while keeping GPU resources available for LLM inference. The setup uses the Kokoro-FastAPI container, which includes voice models, a simple web UI, and an OpenAI-compatible speech API for easier integration.

The project highlights how local AI audio is becoming practical on modest hardware, reducing dependence on cloud TTS services and improving privacy. OpenAI-compatible interfaces also suggest a broader trend: local models are increasingly adopting familiar APIs to make migration from hosted services easier.