Voicebox Voice Synthesis
Expert skill for Voicebox — the open-source local voice cloning and TTS studio built with Tauri, React, and FastAPI
- Skill ID
- reason-machines/trending-skills/voicebox-voice-synthesis
- Publisher
- reason-machines
- Repository
- trending-skills
- Installs
- 0
- Files
- 1
- Synced
- Sep 23, 2026
Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.
reason-machines/trending-skills/voicebox-voice-synthesisInstalls these files- SKILL.md
What this skill tells the agent
Voicebox Voice Synthesis Studio
Skill by ara.so — Daily 2026 Skills collection.
Voicebox is a local-first, open-source voice cloning and TTS studio — a self-hosted alternative to ElevenLabs. It runs entirely on your machine (macOS MLX/Metal, Windows/Linux CUDA, CPU fallback), exposes a REST API on localhost:17493, and ships with 5 TTS engines, 23 languages, post-processing effects, and a multi-track Stories editor.
Installation
Pre-built Binaries (Recommended)
| Platform | Link |
|---|---|
| macOS Apple Silicon | https://voicebox.sh/download/mac-arm |
| macOS Intel | https://voicebox.sh/download/mac-intel |
| Windows | https://voicebox.sh/download/windows |
| Docker | docker compose up |
Linux requires building from source: https://voicebox.sh/linux-install
Build from Source
Prerequisites: Bun, Rust, Python 3.11+, Tauri prerequisites
git clone https://github.com/jamiepine/voicebox.git
cd voicebox
# Install just task runner
brew install just # macOS
cargo install just # any platform
# Set up Python venv + all dependencies
just setup
# Start backend + desktop app in dev mode
just dev# List all available commands
just --listArchitecture
| Layer | Technology |
|---|---|
| Desktop App | Tauri (Rust) |
| Frontend | React + TypeScript + Tailwind CSS |
| State | Zustand + React Query |
| Backend | FastAPI (Python) on port 17493 |
| TTS Engines | Qwen3-TTS, LuxTTS, Chatterbox, Chatterbox Turbo, TADA |
| Effects | Pedalboard (Spotify) |
| Transcription | Whisper / Whisper Turbo |
| Inference | MLX (Apple Silicon) / PyTorch (CUDA/ROCm/XPU/CPU) |
| Database | SQLite |
The Python FastAPI backend handles all ML inference. The Tauri Rust shell wraps the frontend and manages the backend process lifecycle. The API is accessible directly at http://localhost:17493 even when using the desktop app.
REST API Reference
Base URL: http://localhost:17493 Interactive docs: http://localhost:17493/docs
Generate Speech
# Basic generation
curl -X POST http://localhost:17493/generate \
-H "Content-Type: application/json" \
-d '{
"text": "Hello world, this is a voice clone.",
"profile_id": "abc123",
"language": "en"
}'
# With engine selection
curl -X POST http://localhost:17493/generate \
-H "Content-Type: application/json" \
-d '{
"text": "Speak slowly and with gravitas.",
"profile_id": "abc123",
"language": "en",
"engine": "qwen3-tts"
}'
# With paralinguistic tags (Chatterbox Turbo only)
curl -X POST http://localhost:17493/generate \
-H "Content-Type: application/json" \
-d '{
"text": "That is absolutely hilarious! [laugh] I cannot believe it.",
"profile_id": "abc123",
"engine": "chatterbox-turbo",
"language": "en"
}'Voice Profiles
# List all profiles
curl http://localhost:17493/profiles
# Create a new profile
curl -X POST http://localhost:17493/profiles \
-H "Content-Type: application/json" \
-d '{
"name": "Narrator",
"language": "en",
"description": "Deep narrative voice"
}'
# Upload audio sample to a profile
curl -X POST http://localhost:17493/profiles/{profile_id}/samples \
-F "file=@/path/to/voice-sample.wav"
# Export a profile
curl http://localhost:17493/profiles/{profile_id}/export \
--output narrator-profile.zip
# Import a profile
curl -X POST http://localhost:17493/profiles/import \
-F "file=@narrator-profile.zip"Generation Queue & Status
# Get generation status (SSE stream)
curl -N http://localhost:17493/generate/{generation_id}/status
# List recent generations
curl http://localhost:17493/generations
# Retry a failed generation
curl -X POST http://localhost:17493/generations/{generation_id}/retry
# Download generated audio
curl http://localhost:17493/generations/{generation_id}/audio \
--output output.wavModels
# List available models and download status
curl http://localhost:17493/models
# Unload a model from GPU memory (without deleting)
curl -X POST http://localhost:17493/models/{model_id}/unloadTypeScript/JavaScript Integration
Basic TTS Client
const VOICEBOX_URL = process.env.VOICEBOX_API_URL ?? "http://localhost:17493";
interface GenerateRequest {
text: string;
profile_id: string;
language?: string;
engine?: "qwen3-tts" | "luxtts" | "chatterbox" | "chatterbox-turbo" | "tada";
}
interface GenerateResponse {
generation_id: string;
status: "queued" | "processing" | "complete" | "failed";
audio_url?: string;
}
async function generateSpeech(req: GenerateRequest): Promise<GenerateResponse> {
const response = await fetch(`${VOICEBOX_URL}/generate`, {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify(req),
});
if (!response.ok) {
throw new Error(`Voicebox API error: ${response.status} ${await response.text()}`);
}
return response.json();
}
// Usage
const result = await generateSpeech({
text: "Welcome to our application.",
profile_id: "abc123",
language: "en",
engine: "qwen3-tts",
});
console.log("Generation ID:", result.generation_id);Poll for Completion
async function waitForGeneration(
generationId: string,
timeoutMs = 60_000
): Promise<string> {
const start = Date.now();
while (Date.now() - start < timeoutMs) {
const res = await fetch(`${VOICEBOX_URL}/generations/${generationId}`);
const data = await res.json();
if (data.status === "complete") {
return `${VOICEBOX_URL}/generations/${generationId}/audio`;
}
if (data.status === "failed") {
throw new Error(`Generation failed: ${data.error}`);
}
await new Promise((r) => setTimeout(r, 1000));
}
throw new Error("Generation timed out");
}Stream Status with SSE
function streamGenerationStatus(
generationId: string,
onStatus: (status: string) => void
): () => void {
const eventSource = new EventSource(
`${VOICEBOX_URL}/generate/${generationId}/status`
);
eventSource.onmessage = (event) => {
const data = JSON.parse(event.data);
onStatus(data.status);
if (data.status === "complete" || data.status === "failed") {
eventSource.close();
}
};
eventSource.onerror = () => eventSource.close();
// Return cleanup function
return () => eventSource.close();
}
// Usage
const cleanup = streamGenerationStatus("gen_abc123", (status) => {
console.log("Status update:", status);
});Download Audio as Blob
async function downloadAudio(generationId: string): Promise<Blob> {
const response = await fetch(
`${VOICEBOX_URL}/generations/${generationId}/audio`
);
if (!response.ok) {
throw new Error(`Failed to download audio: ${response.status}`);
}
return response.blob();
}
// Play in browser
async function playGeneratedAudio(generationId: string): Promise<void> {
const blob = await downloadAudio(generationId);
const url = URL.createObjectURL(blob);
const audio = new Audio(url);
audio.play();
audio.onended = () => URL.revokeObjectURL(url);
}Python Integration
import httpx
import asyncio
VOICEBOX_URL = "http://localhost:17493"
async def generate_speech(
text: str,
profile_id: str,
language: str = "en",
engine: str = "qwen3-tts"
) -> bytes:
async with httpx.AsyncClient(timeout=120.0) as client:
# Submit generation
resp = await client.post(
f"{VOICEBOX_URL}/generate",
json={
"text": text,
"profile_id": profile_id,
"language": language,
"engine": engine,
}
)
resp.raise_for_status()
generation_id = resp.json()["generation_id"]
# Poll until complete
for _ in range(120):More from reason-machines
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