MOSS-TTS-Nano

MOSS-TTS-Nano is a multilingual text-to-speech model with only 100 million parameters that runs in real time on a CPU. No GPU required. It handles English, Chinese, Japanese, and other languages with solid quality for its size. Small enough to embed in desktop apps, local demos, or lightweight web services.

Runs via Python with standard ML dependencies. Models are available on HuggingFace and ModelScope. Finetuning is supported for custom voices. The deployment stack is intentionally simple: no CUDA required, no complex inference servers. A basic machine handles it.

Free for everyone under a permissive license. Solo developers building voice features get real-time TTS without paying per-character API fees. Teams building products can embed it directly without usage limits.

The catch: 100M parameters means tradeoffs in naturalness and expressiveness. If you need the best possible voice quality, larger models or paid APIs like ElevenLabs will sound better. This is the right choice when you need speed, low cost, and local execution over peak fidelity.