Voice is now one of the fastest ways to interact with AI. Instead of typing, you can talk to your agent and get spoken responses in real time. This guide walks you through OpenClaw voice capabilities and text-to-speech (TTS), explains how providers like ElevenLabs are used, and shows practical setup steps, use cases, and example configurations.
What Is Text-to-Speech (TTS)?
Text-to-speech (TTS) is a technology that converts written text into spoken audio. Modern TTS engines can synthesize speech that sounds natural, expressive, and context-aware. For AI agents, TTS is a critical feature because it makes interactions faster, hands-free, and more accessible.
How OpenClaw Uses TTS Providers
OpenClaw supports voice interactions through its Talk Mode loop and its TTS tooling. In Talk Mode, OpenClaw listens, sends a transcript to the model, waits for a response, and then speaks the reply using ElevenLabs with streaming playback. This creates a continuous voice conversation that feels natural and responsive.
OpenClaw Voice Features at a Glance
- Talk Mode: A continuous voice loop for live conversation
- TTS Tool: Direct text-to-speech conversion utility
- Voice Directives: Select a voice for specific replies
- Provider Switching: Change TTS provider on the fly
Setting Up OpenClaw Voice and TTS
Enable Talk Mode for live voice conversation. Use TTS commands like /tts always, /tts tagged, or /tts audio for one-off spoken responses. Configure your provider with /tts provider.
Use Cases for OpenClaw Voice
- Storytelling and Narration: Set dramatic or calm voices for different characters
- Notifications and Alerts: Voice alerts for dashboards and workflows
- Accessibility: Hands-free interaction for accessibility needs
- Multi-Agent Workflows: Distinct voices for each agent
Get the Full Playbook
Want step-by-step walkthroughs, ready-to-use prompts, and monetization strategies? Buy the ebook and get the complete playbook for building voice-first AI experiences with OpenClaw.