claude-to-speech-marketplace

Claude-to-Speech

Voice-first interaction mode for Claude Code with automatic text-to-speech via ElevenLabs.

Overview

Claude-to-Speech is a plugin that enables automatic voice output for Claude Code responses. Instead of manually triggering TTS, Claude includes invisible markers in responses that are automatically extracted and spoken by a Stop hook.

Features

• Automatic TTS: Claude's responses are spoken automatically via TTS markers
• Smart Defaults: Silent for code dumps, vocal for questions and confirmations
• Multiple Voice Options: Choose from ElevenLabs voices or use custom voice IDs
• Dual Mode Support:
  • Direct ElevenLabs API (no server required)
  • Local TTS server integration
• Deduplication: Prevents repeated messages within 2-second window
• Cross-Platform: Works on macOS, Linux (including Raspberry Pi), and Windows

Installation

Prerequisites

• Claude Code 2.0+
• ElevenLabs API key (get one here)
• Python 3.7+
• requests library: pip install requests
• (Optional) python-dotenv: pip install python-dotenv

Via Claude Code Plugin System

1. Clone or download this repository
2. Add to your Claude Code plugins directory:

   mkdir -p ~/.claude/plugins/repos
   cd ~/.claude/plugins/repos
   git clone https://github.com/yourusername/claude-to-speech.git
   

3. Install the plugin:

   claude plugin install ./claude-to-speech
   

4. Configure your .env file (see Configuration below)
5. Restart Claude Code

Manual Installation

1. Copy the plugin directory to your Claude Code plugins location
2. Create a .env file based on .env.example
3. Add your ElevenLabs API key
4. Run /plugin in Claude Code to refresh
5. Restart Claude Code

Configuration

Create a .env file in the plugin root directory:

# REQUIRED: ElevenLabs API Key
ELEVENLABS_API_KEY=your_api_key_here

# Voice ID (optional - defaults to Claude voice)
# Available names: laura, claude, rachel, domi, bella, antoni, arnold, adam, josh
# Or use a raw ElevenLabs voice ID
CLAUDE_VOICE_ID=claude

# ElevenLabs Model (optional - defaults to eleven_flash_v2_5)
# Options: eleven_flash_v2_5 (fastest), eleven_turbo_v2, eleven_multilingual_v2
ELEVENLABS_MODEL=eleven_flash_v2_5

# TTS Server URL (optional - leave empty for direct API mode)
# If you have a local TTS server, specify it here
TTS_SERVER_URL=

# Debug mode (optional - set to 1 to enable debug logging)
DEBUG=0

Voice Options

The plugin includes these pre-configured voices:

• claude / assistant - British male voice (default)
• laura - American female voice
• rachel - Calm female
• domi - Confident female
• bella - Soft female
• antoni - Well-rounded male
• arnold - Strong male
• adam - Deep male
• josh - Young male

You can also use any ElevenLabs voice ID directly.

TTS Server Mode vs Direct API Mode

The plugin supports two operational modes:

Direct API Mode (Default)

When to use: Simple setup, single-user, occasional TTS use

• Calls ElevenLabs API directly from the plugin
• No additional server setup required
• Each TTS request goes through the internet to ElevenLabs
• Best for: Getting started, testing, low-volume usage

Configuration:

TTS_SERVER_URL=  # Leave empty

Local TTS Server Mode (Recommended for Power Users)

When to use: Multi-device setup, high-volume usage, local network integration

• Runs a persistent TTS server on your local network
• Multiple devices can share the same server (desktop, mobile, Raspberry Pi)
• Audio caching reduces API calls and speeds up repeated phrases
• Centralized voice configuration across all clients
• Lower latency for local playback
• Enables offline caching for frequently used phrases
• Best for: LAURA-style multi-device AI systems, development, production use

Configuration:

TTS_SERVER_URL=http://localhost:5001/tts  # Or your server IP

Setting up a TTS server:

The plugin includes scripts/tts_server.py - a Flask-based TTS server:

# Install dependencies
pip install flask requests

# Run the server
cd scripts
python3 tts_server.py

The server listens on http://0.0.0.0:5001 by default. Point multiple Claude Code instances, mobile apps, or other devices to this server for centralized TTS.

Benefits for LAURA-style systems:

• Consistency: Same voice across desktop, mobile, and embedded devices
• Efficiency: Cached audio for common responses ("I don't understand", "Working on it", etc.)
• Scalability: One API key serves multiple devices
• Control: Centralized voice/model switching without reconfiguring clients

Usage

Enable Voice Mode

Run the /claude-to-speech:speak command (or /speak for short):

/speak

This activates voice-first mode where Claude will include TTS markers in responses.

How It Works