Kokoro: Local, CPU-Only High-Quality TTS System
Original: Local, CPU-Friendly, High-Quality TTS (Text-to-Speech) with Kokoro
Why This Matters
Local, privacy-preserving TTS with OpenAI API compatibility lowers the barrier for offline voice AI applications.
Kokoro, an 82M-parameter TTS model, enables high-quality local speech synthesis across English, Mandarin, and Hindi with ~50 voices, running entirely on CPU via the Kokoro-FastAPI container and offering OpenAI speech API compatibility.
Kokoro is an open-weight TTS model with only 82 million parameters that delivers realistic, multi-language speech synthesis—including English, Mandarin, and Hindi—across approximately 50 distinct voices. The model runs fully on CPU, making it suitable for machines where the GPU is reserved for other tasks such as local LLM inference.
The easiest deployment method is the Kokoro-FastAPI container image (~5 GB), launched via Docker or Podman on port 8880. It provides a simple web UI and an OpenAI-compatible speech API endpoint, allowing drop-in replacement for existing applications built on OpenAI TTS. Sample JavaScript and Python scripts are available at github.com/remotebrowser/speak.
Benchmark results for a short paragraph (best of 3 runs): Intel Core i7-4770K (12 years old) completed synthesis in 4.7 seconds, Apple M2 Pro in 4.5 seconds, and AMD Ryzen 7 8745HS in 1.5 seconds. An alternative containerized option, Speaches (speaches.ai), bundles OpenAI Whisper for STT alongside TTS, offering both capabilities in one service. Voice models in Speaches must be downloaded separately via API, unlike Kokoro-FastAPI where they are pre-bundled.