---
license: apache-2.0
language:
  - en
tags:
  - voice
  - speech
  - tts
  - local
  - privacy
  - tarx
  - moshi
library_name: candle
pipeline_tag: text-to-speech
---

# TX-VOICE: Local-First Voice for TARX

**Private voice AI that runs entirely on your machine. No cloud. No latency. No data leaving your device.**

## Overview

TX-VOICE is TARX's voice model optimized for local execution. Built on the Moshi architecture and quantized to Q8 for efficient inference on consumer hardware.

| Spec | Value |
|------|-------|
| **Size** | 7.2 GB |
| **Format** | GGUF Q8 |
| **Architecture** | Moshi (Kyutai) |
| **Min RAM** | 16 GB |
| **Recommended** | 32 GB+ RAM, Apple Silicon or NVIDIA GPU |

## Features

- **Real-time voice synthesis** - Low-latency text-to-speech
- **100% local** - No internet required after download
- **Privacy-first** - Your voice data never leaves your machine
- **Hardware-optimized** - Leverages Metal (macOS) or CUDA (NVIDIA)

## Quick Start

### With TARX Workbench

TX-VOICE is automatically configured in TARX Workbench. Just enable voice in settings.

### Standalone Usage

```bash
# Clone the tarx-voice service
git clone https://github.com/tarx-ai/tarx-voice
cd tarx-voice

# Build and run
cargo build --release
./target/release/tarx-voice --model TX-VOICE
```

### WebSocket API

TX-VOICE runs on port `11438` by default:

```javascript
const ws = new WebSocket('ws://localhost:11438');
ws.send(JSON.stringify({ text: "Hello, world!" }));
```

## Hardware Requirements

| Hardware | Performance |
|----------|-------------|
| Apple M1/M2/M3/M4 | Excellent (Metal acceleration) |
| NVIDIA RTX 30/40 | Excellent (CUDA acceleration) |
| Intel/AMD CPU | Good (AVX2 optimized) |

## Integration

TX-VOICE integrates with:

- **TARX Workbench** - Desktop AI assistant
- **TARX Code-OSS** - VS Code extension
- **Custom apps** - WebSocket API

## Architecture

Based on Kyutai's Moshi model, optimized for local inference:

- Streaming audio generation
- Low memory footprint via Q8 quantization
- Rust-native inference via Candle

## License

Apache 2.0 - Free for personal and commercial use.

## Links

- [TARX Website](https://tarx.com)
- [TARX Workbench](https://github.com/tarx-ai/tarx-workbench)
- [Documentation](https://tarx.com/docs)

---

**Part of the TARX local-first AI platform.**

TX-8G | TX-12G | TX-16G | TX-M-72B | **TX-VOICE**