maemreyo

maemreyo / omnivoice-server

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OpenAI-compatible HTTP server for OmniVoice text-to-speech

fastapi omnivoice openai-api python text-to-speech
26
10
100% credibility
Found Apr 17, 2026 at 26 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

omnivoice-server provides a server that converts text to high-quality speech using the OmniVoice model, with features for custom voice design, cloning from audio samples, and OpenAI-style compatibility.

How It Works

1
🔍 Find the voice maker

You hear about a simple tool that turns written words into realistic spoken audio with different voices and styles.

2
📦 Set it up on your computer

Follow easy instructions to add the voice tool to your machine, like installing a helpful app.

3
▶️ Launch the voice service

Start it with a quick command, and it begins listening for your text right away.

4
🎤 Turn text into speech

Type any message, pick a voice like a young woman or deep man, and hear natural audio play back instantly.

5
🎙️ Make custom voices

Upload a short audio clip of someone's voice to clone it, or mix traits like accent and age for unique sounds.

6
Share or use anywhere
📱
Quick clips

Generate short speeches or narrations on the fly.

🎥
Full projects

Build voiceovers for videos with saved custom voices.

✅ Lifelike voices ready

You now have a personal voice factory creating endless natural speech for fun, work, or creativity.

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Star Growth

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AI-Generated Review

What is omnivoice-server?

omnivoice-server is a Python-based HTTP server that exposes an OpenAI-compatible TTS API using the OmniVoice model for high-quality text-to-speech. It lets you generate speech with voice cloning from reference audio, custom designs via attributes like gender, accent, and pitch, plus non-verbal sounds like laughter or sighs. Run it via CLI with `omnivoice-server` or Docker, and hit endpoints like `/v1/audio/speech` for drop-in integration.

Why is it gaining traction?

As an openai compatible server github project, it slots right into AI SDKs, Dify apps, or LangGenius workflows without code changes—swap your OpenAI key for a local endpoint. Streaming sentence chunks cuts perceived latency, voice profiles persist clones for reuse, and presets map to OpenAI voices like "alloy" or "nova". Production extras like auth, metrics, and concurrent handling make it deploy-ready over raw model scripts.

Who should use this?

AI engineers building voice agents or podcasts need local TTS without OpenAI bills. Frontend devs integrating speech in Next.js or Streamlit apps get OpenAI API compatibility out-of-box. Teams on Dify or Copilot setups experimenting with openai compatible github alternatives for cloning custom voices.

Verdict

Grab it for prototyping if you have NVIDIA GPUs—CPU works but lags at 5x real-time. With 26 stars and 1.0% credibility, it's alpha-stage but has solid docs, benchmarks, and tests; watch for API breaks as upstream evolves. (187 words)

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