#165 · Primary category: Speech & Audio

Orpheus-FastAPI

ai-text-to-speech ai-voice artificial-intelligence

High-performance Text-to-Speech server with OpenAI-compatible API, 8 voices, emotion tags, and modern web UI. Optimized for RTX GPUs.

Project last updated:07/05/25

GitHub Stars

718

Forks

150

Contributors

5

License

Apache-2.0

Why we included this project

Orpheus-FASTAPI is a self-hosted text-to-speech server that exposes an OpenAI-compatible API, so if you already talk to /v1/audio/speech, it slots in without rewriting your client. It wraps the Orpheus model in a FastAPI service and includes a web UI with waveform playback for generating audio without writing code. The multilingual support is the most useful part: 24 voices across eight languages, with language-specific quantized GGUF models you swap by editing one environment variable. Emotion tags let you nudge delivery toward laughter, sighs, or other expressive cues, and long-form text gets sentence batching with crossfade stitching to keep output seamless. Docker Compose covers CUDA, ROCm, and CPU-only setups, so it works on an RTX card or a modest box.

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