### Install with Docker: clone, configure, and run

Source: https://openvoiceui.com/docs

Clone the repository, copy the example environment file, add your API keys, and start both OpenVoiceUI and OpenClaw in containers.

```bash
git clone https://github.com/MCERQUA/OpenVoiceUI
cd OpenVoiceUI
cp .env.example .env    # Add your API keys
docker compose up
```

--------------------------------

### Install with npm: npx openvoiceui setup

Source: https://openvoiceui.com/docs

Run this command to set up the project, install dependencies, and interactively configure your LLM.

```bash
npx openvoiceui setup
```

--------------------------------

### VPS deployment guide link

Source: https://openvoiceui.com/docs

Placeholder for the VPS deployment guide link; actual deployment steps are not shown on this page.

```text
See the deployment guide on GitHub →
```

--------------------------------

### VS Code Dev Container setup

Source: https://openvoiceui.com/docs

Open the repository in VS Code and accept the 'Reopen in Container' prompt to automatically set up all dependencies.

```text
Open in Dev Container → Automatic setup
```

--------------------------------

### Install with Pinokio: App Store steps

Source: https://openvoiceui.com/docs

Install OpenVoiceUI with one click via the Pinokio app store, requiring no terminal interaction.

```text
Pinokio App Store → Search "OpenVoiceUI" → Install
```

--------------------------------

### Text-to-Speech provider configuration in .env

Source: https://openvoiceui.com/docs

Choose your text-to-speech provider in the .env file. Options include self-hosted Supertonic, browser native, or a custom endpoint.

```dotenv
# Supertonic (self-hosted)
TTS_PROVIDER=supertonic
TTS_URL=http://supertonic:5050

# Browser native
TTS_PROVIDER=browser

# Custom endpoint
TTS_PROVIDER=custom
TTS_URL=http://your-tts:8080
```

--------------------------------

### Speech-to-Text provider configuration in .env

Source: https://openvoiceui.com/docs

Configure speech-to-text in the .env file. Options include Web Speech API, Deepgram streaming, or Groq Whisper batch.

```dotenv
# Web Speech API (Chrome, free)
STT_PROVIDER=webspeech

# Deepgram (streaming)
DEEPGRAM_API_KEY=...

# Groq Whisper (batch)
GROQ_API_KEY=gsk_...
```

--------------------------------

### Architecture diagram: component flow

Source: https://openvoiceui.com/docs

Shows the high-level architecture: the browser UI communicates with the Flask server, which routes to OpenClaw and any LLM provider.

```text
Browser (Voice + Canvas) ↔ Flask Server (API + Files) ↔ OpenClaw (LLM + Tools) ↔ Any LLM Provider
```

--------------------------------

### LLM provider configuration in .env

Source: https://openvoiceui.com/docs

Configure your LLM provider in the .env file. OpenClaw routes to any Anthropic-compatible API endpoint.

```dotenv
# OpenAI
OPENAI_API_KEY=sk-...

# Anthropic
ANTHROPIC_API_KEY=sk-ant-...

# Groq (fast + free tier)
GROQ_API_KEY=gsk_...

# Ollama (local, free)
OLLAMA_BASE_URL=http://localhost:11434
```

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