OpenClaw ElevenLabs Integration: Complete Setup Guide for Natural AI Voice
OpenClaw ElevenLabs Integration: Complete Setup Guide for Natural AI Voice
OpenClaw ElevenLabs integration transforms your AI assistant into a natural-sounding voice companion. By connecting ElevenLabs' advanced text-to-speech technology with OpenClaw's flexible AI platform, you can create voice-enabled assistants that work across Telegram, Discord, WhatsApp, and even phone calls. This guide covers everything from basic setup to advanced voice customization, troubleshooting common issues, and optimizing performance for different use cases.
How Do I Integrate ElevenLabs with OpenClaw?
Setting up ElevenLabs with OpenClaw takes about 10 minutes. You'll need an ElevenLabs API key and access to your OpenClaw configuration file. The integration works by adding ElevenLabs as a text-to-speech provider in your OpenClaw settings, allowing your assistant to speak with high-quality, natural voices.
Here's the basic setup process:
First, get your ElevenLabs API key from the ElevenLabs website. Sign up for an account if you don't have one, then navigate to your profile settings to find your API key. Copy this key somewhere safe - you'll need it in a moment.
Next, locate your OpenClaw configuration file. On most systems, you'll find it at ~/.openclaw/openclaw.json. Open this file in your text editor. If you're not sure where your config file is, run openclaw config path from your terminal to find it.
Add the ElevenLabs configuration to your messages.tts section. The basic structure looks like this:
{
"messages": {
"tts": {
"enabled": true,
"provider": "elevenlabs",
"elevenlabs": {
"apiKey": "your-api-key-here",
"voiceId": "21m00Tcm4TlvDq8ikWAM",
"modelId": "eleven_multilingual_v2"
}
}
}
}
You can also set your API key as an environment variable instead of putting it directly in the config file. Add ELEVENLABS_API_KEY=your-key-here to your ~/.openclaw/.env file, and OpenClaw will automatically load it on startup.
After saving your config, restart OpenClaw. You can test the integration by enabling TTS in a conversation with /tts on, then asking your assistant to say something. You should hear a natural-sounding voice response instead of seeing only text.
The default voice ID in the example above (21m00Tcm4TlvDq8ikWAM) corresponds to Rachel, one of ElevenLabs' premium voices. You can browse all available voices in your ElevenLabs dashboard and swap in different voice IDs to change your assistant's voice personality.
What Makes ElevenLabs the Best TTS Option for OpenClaw?
OpenClaw supports three text-to-speech providers: ElevenLabs, OpenAI, and Edge TTS. Each has different strengths, but ElevenLabs stands out for voice quality and customization options.
ElevenLabs produces the most natural and expressive voices. The voices sound human, with proper emotion, pacing, and intonation. This matters when you're having longer conversations with your assistant or using it for content like audiobooks or podcasts. OpenAI's TTS is solid but sounds slightly more robotic. Edge TTS is free but has the most artificial sound.
Voice customization is another major advantage. With ElevenLabs, you can fine-tune stability, similarity boost, style, and speaking rate for each voice. You can also create custom voices through voice cloning or the voice design tool. OpenAI offers fewer customization options, and Edge TTS offers almost none.
ElevenLabs supports 32 languages with the multilingual model. This includes English, Spanish, French, German, Portuguese, Chinese, Japanese, Korean, and many others. The voices maintain their natural quality across languages, which is impressive. OpenAI's TTS supports fewer languages, and quality varies more between them.
The ElevenLabs skills ecosystem adds powerful features like sound effects generation, batch processing, and pronunciation dictionaries. Installing the elevenlabs-voices skill through the OpenClaw skills marketplace gives you access to 18 curated voice personas, cost tracking, and streaming modes. These integrations expand what you can build with your voice-enabled assistant.
Here's the practical trade-off: ElevenLabs costs money based on character count, while Edge TTS is free. For personal projects or light use, the free tier of ElevenLabs (10,000 characters per month) often suffices. For production applications where voice quality matters, the cost is worth it.
How to Configure ElevenLabs API Keys in OpenClaw
Proper API key configuration prevents authentication errors and keeps your credentials secure. OpenClaw offers three ways to set your ElevenLabs API key, each with different security and convenience trade-offs.
The most secure method is using environment variables. Create or edit ~/.openclaw/.env and add this line:
ELEVENLABS_API_KEY=sk_your_actual_key_here
OpenClaw automatically loads this file on startup, and the key never appears in your config file. This approach prevents accidental exposure if you share your openclaw.json file or commit it to version control.
You can also set the environment variable in your shell profile. Add export ELEVENLABS_API_KEY=sk_your_key to your ~/.bashrc, ~/.zshrc, or equivalent. This makes the key available system-wide, but means it might get exposed in process listings.
The third option is putting the key directly in openclaw.json:
{
"messages": {
"tts": {
"elevenlabs": {
"apiKey": "sk_your_key_here"
}
}
}
}
This is convenient for testing but less secure. If you use this method, make absolutely sure you don't commit your config file to public repositories.
OpenClaw checks for your API key in this order: first the config file, then the ELEVENLABS_API_KEY environment variable, then XI_API_KEY (an alternative environment variable name). If it doesn't find a key in any location, it falls back to OpenAI or Edge TTS.
If you're managing multiple OpenClaw instances or working on a team, consider using OpenClaw's gateway configuration. This lets you set API keys centrally and reference them with secret names instead of copying the actual key to each instance. This approach works well when automating workflows across different OpenClaw setups.
Which ElevenLabs Voice Model Should I Choose for OpenClaw?
ElevenLabs offers two main models: eleven_multilingual_v2 and eleven_turbo_v2.5. A newer eleven_v3 model is also available with additional features. Choosing the right model depends on your language needs, latency requirements, and quality preferences.
The eleven_multilingual_v2 model delivers the best quality for non-English languages and handles 32 languages with natural pronunciation. Use this model if you're building assistants that speak multiple languages or if your primary language isn't English. The voice quality is consistently high across all supported languages, which is rare among TTS systems.
For English-only applications where speed matters, eleven_turbo_v2.5 offers lower latency. This model generates speech faster, which reduces the delay between your assistant finishing its response and speaking it. The quality is still excellent - most people can't hear the difference between Turbo and Multilingual for English voices. Choose Turbo for real-time conversations, phone calls, or applications where responsiveness matters more than multi-language support.
The eleven_v3 model adds support for audio emotion tags. These special markers in your text can make the voice sound happy, sad, excited, or other emotions. This feature is experimental but powerful for creating more expressive assistants. The trade-off is slightly higher cost and latency compared to Turbo.
Here's how to set your model in openclaw.json:
{
"messages": {
"tts": {
"elevenlabs": {
"modelId": "eleven_multilingual_v2"
}
}
}
}
You can also override the model on a per-message basis. Include a directive in your assistant's response like this:
[[tts:model=eleven_turbo_v2.5 voiceId=pMsXgVXv3BLzUgSXRplE]]
This lets your assistant automatically switch models based on context. For example, use Multilingual for responses that mix languages, and Turbo for quick confirmations.
Cost differences matter if you're processing high volumes. Turbo costs less per character than Multilingual, and both cost less than v3 with emotion tags. Check ElevenLabs' pricing page for current rates, as they change occasionally.
How to Customize Voice Settings in OpenClaw ElevenLabs Integration
Voice settings let you shape how your assistant sounds. ElevenLabs provides five main parameters: stability, similarity boost, style, speaker boost, and speed. Understanding these controls helps you create the exact voice personality you want.
Stability controls how consistent the voice sounds across different sentences. Lower stability (0.0 to 0.4) makes the voice more variable and expressive but less predictable. Higher stability (0.7 to 1.0) creates consistent, predictable speech that sounds similar every time. For most conversational assistants, a stability of 0.5 to 0.6 works well - expressive enough to sound natural but consistent enough to be reliable.
Similarity boost affects how closely the generated speech matches the original voice's characteristics. Higher values (0.7 to 1.0) make the output sound more like the reference voice but can introduce artifacts. Lower values (0.3 to 0.5) sound smoother but may drift from the intended voice character. Start with 0.75 and adjust up if the voice sounds too generic or down if you hear glitches.
Style controls the expressiveness and emotion in the voice. Values from 0.0 to 1.0 range from monotone to highly expressive. For factual information or technical content, keep style around 0.2 to 0.3. For storytelling or entertainment, push it to 0.6 or higher. This setting has the most subjective impact - experiment to find what sounds right for your use case.
Speaker boost is a toggle that enhances voice clarity and presence. It's useful when generating speech for noisy environments or when you want the voice to stand out more. The trade-off is slightly less natural sound in quiet settings. Enable it for phone calls or voice notes in messaging apps; disable it for podcast-quality audio.
Speed adjusts how fast the voice speaks, from 0.5 (half speed) to 2.0 (double speed). Most natural conversation happens between 0.9 and 1.1. Slower speeds (0.7 to 0.8) work well for educational content or when clarity is critical. Faster speeds (1.2 to 1.4) suit quick updates or when users want to consume information rapidly.
Here's a complete example configuration:
{
"messages": {
"tts": {
"elevenlabs": {
"voiceId": "21m00Tcm4TlvDq8ikWAM",
"modelId": "eleven_multilingual_v2",
"voiceSettings": {
"stability": 0.55,
"similarityBoost": 0.75,
"style": 0.40,
"useSpeakerBoost": true
},
"speed": 1.0
}
}
}
}
You can also create presets for different scenarios. Save multiple configurations and swap between them based on what your assistant is doing. For example, use high stability and low style for reading documentation, then switch to lower stability and higher style for casual conversation.
The voice seed parameter is another powerful tool. Set it to any integer between 0 and 4,294,967,295 to make voice generation deterministic. The same text with the same seed always produces identical audio. This matters for testing, debugging, or when you need perfectly reproducible output.
What Audio Formats Does OpenClaw Use with ElevenLabs?
OpenClaw automatically selects the right audio format based on which platform receives the message. This happens behind the scenes, but understanding the formats helps when troubleshooting audio issues or optimizing for specific channels.
Telegram receives Opus format specifically encoded as opus_48000_64. This format offers excellent quality at low file sizes, which matters for voice notes sent over mobile networks. Opus is designed for voice communication and handles packet loss well, making it ideal for messaging apps. The 48kHz sample rate provides full frequency response, while the 64kbps bitrate balances quality and file size.
All other platforms - Discord, WhatsApp, Slack, Signal, and others - receive MP3 format encoded as mp3_44100_128. MP3 is universally compatible and plays in virtually every audio player and browser. The 44.1kHz sample rate is CD quality, and 128kbps bitrate sounds clear for voice content without creating huge files.
You cannot manually override these format selections. OpenClaw hard-codes them based on the destination platform's requirements and capabilities. This prevents format compatibility issues but means you can't optimize formats for specific use cases.
For phone calls using ElevenLabs Agents, the audio format is negotiated differently. ElevenLabs handles the audio encoding for phone systems, typically using telephony codecs optimized for voice clarity over phone lines. The quality is designed to match or exceed standard phone call quality.
If you're building custom integrations or plugins, you can request different formats from the ElevenLabs API directly. The API supports formats like PCM, ยต-law, and others. This flexibility helps when you need raw audio for processing or specific formats for embedded systems. Check out building custom plugins if you need format control beyond what OpenClaw provides by default.
File sizes vary based on response length. A typical short assistant response (50 words) generates about 20-30KB in Opus format and 40-50KB in MP3. Longer responses scale proportionally. This matters for quota limits on messaging platforms and for users on metered connections.
How to Use OpenClaw with ElevenLabs for Phone Calls
Connecting OpenClaw to phone calls through ElevenLabs Agents creates a voice AI assistant you can call like a person. The setup links OpenClaw's intelligence with ElevenLabs' voice capabilities and phone infrastructure.
The architecture works like this: ElevenLabs Agents handles the phone system, speech recognition, and voice generation. OpenClaw serves as the "brain" that processes requests and generates responses. They communicate using the OpenAI Chat Completions API protocol, which ElevenLabs Agents speaks natively.
First, make sure OpenClaw can respond to API requests. You'll need to expose OpenClaw's gateway through a public URL or tunnel. Many developers use ngrok or similar services to create a temporary public endpoint pointing to their local OpenClaw instance. For production setups, deploy OpenClaw on a server with a proper domain name.
Configure your OpenClaw gateway to accept requests at the /chat/completions endpoint. This makes OpenClaw compatible with ElevenLabs Agents without requiring custom integration code. Your gateway needs to be running and accessible before setting up the ElevenLabs side.
In your ElevenLabs dashboard, create a new Agent. Set the "LLM Provider" to "Custom OpenAI Compatible" and enter your OpenClaw gateway URL. The URL format is typically https://your-domain.com/v1 or https://your-ngrok-url.com/v1. Don't forget the /v1 path component - it's required for API compatibility.
Configure the agent's voice, language, and behavior settings in the ElevenLabs dashboard. Choose a voice that matches your assistant's personality, set the primary language, and customize the greeting users hear when they call. You can also set up prompts that guide how your assistant behaves during phone conversations.
ElevenLabs provides a phone number you can call to test your agent. Save this number and call it from your phone. You should hear the greeting, and your assistant should respond intelligently to your questions. If it doesn't work, check that your OpenClaw gateway is accessible and that the URL in ElevenLabs is correct.
The integration supports interruptions, which means callers can start talking while your assistant is speaking, and it will stop and listen. This creates more natural conversations compared to rigid turn-taking systems. ElevenLabs handles all the signal processing for this feature.
You can customize how OpenClaw behaves in phone conversations versus text chat. The system message or prompt in your ElevenLabs Agent configuration can include instructions like "keep responses under 3 sentences" or "ask follow-up questions frequently." Phone conversations work best with shorter, more interactive responses compared to text chat.
For tracking and debugging, both OpenClaw and ElevenLabs provide logs. OpenClaw logs show the actual requests and responses, while ElevenLabs shows call duration, transcripts, and voice generation metrics. Use these logs to understand user behavior and improve your assistant.
Why Is My OpenClaw ElevenLabs API Key Not Working?
API key authentication issues are the most common problem when setting up ElevenLabs with OpenClaw. Here's how to diagnose and fix different authentication failures.
First, verify the key is actually set. Run openclaw config get messages.tts.elevenlabs.apiKey from your terminal. If you're using environment variables, check with echo $ELEVENLABS_API_KEY. If either command returns empty or shows asterisks, OpenClaw can't find your key.
The most common mistake is putting the key in the wrong location. OpenClaw checks three places: the config file, the ELEVENLABS_API_KEY environment variable, and the XI_API_KEY environment variable. Make sure you've set it in at least one of these locations. If you set it in your shell profile (.bashrc or .zshrc), remember you need to restart your terminal or run source ~/.bashrc to load it.
A known bug on macOS causes the redaction sentinel issue. OpenClaw stores your key correctly but sends __OPENCLAW_REDACTED__ to ElevenLabs instead of the actual key. This happens specifically in talk mode on the Mac app. The workaround is setting your API key as an environment variable rather than in the config file. Run export ELEVENLABS_API_KEY=your-key in your terminal before starting OpenClaw.
Invalid or expired keys produce authentication errors in your OpenClaw logs. Check your ElevenLabs dashboard to verify your key is still active. If you've regenerated your API key on the ElevenLabs website, you need to update it everywhere you've configured it. Old keys stop working immediately when you generate new ones.
Permissions problems occur if your API key has restrictions. Some ElevenLabs keys are scoped to specific features or IP addresses. Check your key's permissions in the ElevenLabs dashboard and make sure it has access to the text-to-speech API. If you're using a workspace or team account, verify the key belongs to the right workspace.
Network issues can look like authentication problems. If OpenClaw can't reach ElevenLabs' servers (due to firewalls, proxy settings, or network restrictions), it produces errors that mention authentication. Test basic connectivity by running curl https://api.elevenlabs.io/v1/voices -H "xi-api-key: your-key" from your terminal. If this fails, you have a network problem rather than an authentication problem.
The openclaw doctor --fix command automatically detects and repairs many configuration issues. Run this first when troubleshooting any OpenClaw problem. It checks your config file syntax, verifies API keys are set, tests connectivity to external services, and attempts automatic fixes for common issues.
For detailed diagnostics, run openclaw status --all. This generates a complete report of your configuration, including which TTS provider is active, whether authentication succeeded, and any recent errors. The output is credential-safe, meaning it shows whether keys are set without revealing the actual values.
If you're managing OpenClaw through RSS alerts and automation, make sure the automated processes have access to the same environment variables as your interactive sessions. Services running as different users or through systemd might not see environment variables set in your personal shell profile.
How to Optimize Voice Quality and Performance with OpenClaw ElevenLabs
Getting the best results from ElevenLabs requires balancing quality, latency, and cost. Different optimization strategies work for different use cases.
For maximum quality, use the eleven_multilingual_v2 model with carefully tuned voice settings. Set stability to 0.5-0.6, similarity boost to 0.75-0.85, and style to 0.3-0.5. Enable speaker boost for phone calls or noisy environments, disable it for podcast-quality recordings. Generate audio at normal speed (1.0) - faster speeds reduce quality, and slower speeds sound unnatural.
Reduce latency by switching to eleven_turbo_v2.5 for English content. Turbo generates audio significantly faster with minimal quality loss. Keep responses short when latency matters - each additional sentence adds generation time. Consider splitting very long responses into multiple TTS calls so users hear the first part while later parts are still generating.
Text normalization improves pronunciation of numbers, dates, and special characters. Set applyTextNormalization to "auto" in your config. This makes "3/12/2026" sound like "March twelfth, twenty twenty-six" instead of "three slash twelve slash twenty twenty-six." The auto setting applies normalization when it detects numbers or dates but leaves normal text alone.
Streaming mode reduces perceived latency for longer responses. Instead of waiting for the entire audio file to generate, streaming sends audio chunks as they're ready. Users hear the first words while later words are still generating. The elevenlabs-voices skill includes streaming support - install it with npx playbooks add skill openclaw/skills --skill elevenlabs-voices.
Batch processing saves costs when generating multiple messages. If you're creating content like podcast episodes or audiobook chapters, generate all segments in a single batch rather than separate API calls. Batching reduces overhead and qualifies for volume discounts on some ElevenLabs plans.
Caching frequent responses cuts both costs and latency. If your assistant often says the same things ("I'm sorry, I didn't understand" or "Would you like to hear more?"), generate those phrases once and save the audio files. Play the cached audio instead of calling ElevenLabs every time. This works especially well for greetings, error messages, and common confirmations.
Pronunciation dictionaries fix words that ElevenLabs mispronounces. Add custom pronunciations for technical terms, names, or branded products. The dictionary lives in your OpenClaw config and applies to all TTS generation. Format it as a JSON object mapping words to phonetic spellings.
Language codes improve quality for non-English content. Set the languageCode parameter to match your text's language (e.g., "es" for Spanish, "de" for German). This tells ElevenLabs which language model to use and improves pronunciation of language-specific sounds.
Monitor your usage to avoid surprise costs. The elevenlabs-voices skill includes cost tracking that logs characters processed and estimated costs. Review these logs regularly to understand spending patterns. Set up alerts when you approach your monthly quota.
Quality testing matters when customizing voices. Generate sample audio with different settings and listen on various devices - phone speakers sound different from headphones, and background noise affects perceived quality. Test in the actual environment where users will hear your assistant.
TTS Provider Comparison: ElevenLabs vs OpenAI vs Edge TTS
| Feature | ElevenLabs | OpenAI TTS | Edge TTS |
|---|---|---|---|
| Voice Quality | Excellent - most natural | Very Good - clear and professional | Good - noticeably synthetic |
| Customization | Extensive (stability, style, similarity, speaker boost, speed) | Moderate (voice selection, speed) | Minimal (voice selection only) |
| Languages | 32+ with consistent quality | 50+ with variable quality | 70+ with lower quality |
| Latency | Medium (Turbo: Low) | Low | Very Low |
| Cost | $0.18-$0.30 per 1K characters | $0.015-$0.030 per 1K characters | Free |
| Voice Cloning | Yes (paid feature) | No | No |
| Streaming | Yes | Yes | Yes |
| Audio Formats | Multiple (OpenClaw auto-selects) | MP3, Opus, AAC, FLAC | MP3, WebM |
| Emotion Control | Yes (v3 model) | No | No |
| Best For | Premium applications, content creation, phone calls | Balanced quality and cost, multi-language | Personal projects, testing, cost-sensitive use |
The right choice depends on your priorities. Choose ElevenLabs when voice quality is critical - customer-facing applications, content creation, accessibility tools, or anywhere users will hear extended speech. The natural sound justifies the cost for professional use.
OpenAI makes sense for projects needing multi-language support at moderate cost. It's the sweet spot between quality and price for many applications. The voices sound professional without being as natural as ElevenLabs, which often suffices for functional use cases.
Edge TTS works well for development, testing, and personal projects where budget is the main constraint. It's perfect for prototyping voice features before committing to a paid provider. Some users find Edge voices acceptable for personal assistants they're the only ones hearing.
FAQ
Can I use multiple ElevenLabs voices in the same OpenClaw instance?
Yes. Set a default voice in your config, then override it per message using the [[tts:voiceId=xxx]] directive in your assistant's response. The elevenlabs-voices skill makes this easier by providing named presets for different personas.
Does ElevenLabs work with all OpenClaw platforms?
ElevenLabs TTS works on any platform OpenClaw supports - Telegram, Discord, WhatsApp, Slack, Signal, and more. The audio format is automatically selected based on the destination platform.
How much does ElevenLabs cost with OpenClaw?
Costs depend on character count. The free tier includes 10,000 characters per month. Paid plans start around $5/month for 30,000 characters. A typical conversation message (100-200 characters) costs about $0.02-$0.04 on standard pricing.
Can I use my own cloned voice with OpenClaw?
Yes. Clone your voice in the ElevenLabs dashboard, copy the resulting voice ID, and use it in your OpenClaw config. Voice cloning requires a paid ElevenLabs plan.
What happens if my ElevenLabs quota runs out?
OpenClaw automatically falls back to OpenAI TTS if configured, or Edge TTS if no other providers are available. You can also set up alerts in ElevenLabs to notify you before hitting limits.
Is there a way to test different voices without changing my config?
Yes. Use the /tts voice:voice_id_here command in your OpenClaw chat to temporarily switch voices. Or include [[tts:voiceId=xxx]] in a single response to test voices without changing your default configuration.
Integrating ElevenLabs with OpenClaw unlocks natural voice interactions for your AI assistant. The setup takes minutes, customization options let you create exactly the voice personality you need, and the quality surpasses alternatives for most use cases. Start with the basic configuration, experiment with voice settings, and scale up to advanced features like phone integration as your needs grow.