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elevenlabs-tts ElevenLabs TTS (Text-to-Speech) with emotional audio tags for expressive voice synthesis. WhatsApp-compatible voice messages with Opus conversion. Supports 70+ languages, Hebrew with selective nikud, multi-speaker dialogue, and singing. Includes audio converter utility.
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name elevenlabs-tts description ElevenLabs TTS (Text-to-Speech) with emotional audio tags for expressive voice synthesis. WhatsApp-compatible voice messages with Opus conversion. Supports 70+ languages, Hebrew with selective nikud, multi-speaker dialogue, and singing. Includes audio converter utility. tags ["elevenlabs","tts","voice","text-to-speech","audio","speech","whatsapp","multilingual","ai-voice","hebrew","nikud","singing"] allowed-tools ["tts","message","exec"]
ElevenLabs TTS (Text-to-Speech)
Generate expressive voice messages using ElevenLabs v3 with audio tags.
Quick Start Examples
Storytelling (emotional journey):
[soft] It started like any other day... [pause] But something felt different. [nervous] My hands were shaking as I opened the envelope. [gasps] I got in! [excited] I actually got in! [laughs] [happy] This changes everything!
Horror/Suspense (building dread):
[whispers] The house has been empty for years... [pause] At least, that's what they told me. [nervous] But I keep hearing footsteps. [scared] They're getting closer. [gasps] [panicking] The door— it's opening by itself!
Conversation with reactions:
[curious] So what happened at the meeting? [pause] [surprised] Wait, they fired him?! [gasps] [sad] That's terrible... [sighs] He had a family. [thoughtful] I wonder what he'll do now.
Hebrew (romantic moment - selective nikud only where needed):
[soft] היא עמדה שם, מול השקיעה... [pause] הלב שלי פעם כל כך חזק. [nervous] לא ידעתי מה להגיד. [hesitates] אני... [breathes] [tender] אַתְּ יודעת שאני אוהב אותָךְ, נכון?
Spanish (celebration to reflection):
[excited] ¡Lo logramos! [laughs] [happy] No puedo creerlo... [pause] [thoughtful] Fueron tantos años de trabajo. [emotional] [soft] Gracias a todos los que creyeron en mí. [sighs] [content] Valió la pena cada momento.
Configuration (OpenClaw) In openclaw.json, configure TTS under messages.tts:
{
"messages" : {
"tts" : {
"provider" : "elevenlabs" ,
"elevenlabs" : {
"apiKey" : "sk_your_api_key_here" ,
"voiceId" : "YOUR_VOICE_ID" ,
"modelId" : "eleven_v3" ,
"languageCode" : "en" ,
"voiceSettings" : {
"stability" : 0.5 ,
"similarityBoost" : 0.75 ,
"style" : 0 ,
"useSpeakerBoost" : true ,
"speed" : 1
}
}
}
}
}
Recommended Voices for v3 These premade voices are optimized for v3 and work well with audio tags:
Voice ID Gender Accent Best For Adam pNInz6obpgDQGcFmaJgBMale American Deep narration, general use Rachel 21m00Tcm4TlvDq8ikWAMFemale American Calm narration, conversational Brian nPczCjzI2devNBz1zQrbMale American Deep narration, podcasts Charlotte XB0fDUnXU5powFXDhCwaFemale English-Swedish Expressive, video games George JBFqnCBsd6RMkjVDRZzbMale British Raspy narration, storytelling
Use IVC (Instant Voice Clone) or premade voices - PVC not optimized for v3 yet
Match voice character to your use case (whispering voice won't shout well)
For expressive IVCs, include varied emotional tones in training samples
Model Settings
Model : eleven_v3 (alpha) - ONLY model supporting audio tagsLanguages : 70+ supported with full audio tag control
Stability Modes v3 only accepts three values: 0.0, 0.5, 1.0
Mode Value Description Creative 0.0 Most emotional/expressive, best for singing, may hallucinate Natural 0.5 Balanced, closest to original voice Robust 1.0 Highly stable, less responsive to tags
For audio tags, use Creative (0.0) or Natural (0.5). Robust reduces tag responsiveness.
Speed Control Range: 0.7 (slow) to 1.2 (fast), default 1.0
Extreme values affect quality. For pacing, prefer audio tags like [rushed] or [drawn out].
Hebrew Nikud (Vowel Points) Use nikud selectively - only on words where pronunciation is ambiguous. Full nikud on every word can degrade quality.
The rule: only add nikud where the model might guess wrong.
Common cases where nikud helps:
Gender suffixes - שלומֵךְ (f) vs שלומְךָ (m), לָךְ (f) vs לְךָ (m), אותָךְ (f) vs אותְךָ (m)Dagesh (hard/soft consonants) - letters בכפ change sound with dagesh:
פּ = P, פ = F: פִּיצה (pizza), פִּייר (Pierre)
בּ = B, ב = V: בְּרָכָה (brakha), בְּדִיוּק (bediyuk)
כּ = K, כ = Kh: כּוֹס (kos), כַּמָּה (kama)
Homographs - same spelling, different meaning/pronunciation:
בּוֹקֶר (morning) vs בּוֹקֵר (cowboy)
עוֹלָם (world) vs עוֹלֵם (concealing)
סֵפֶר (book) vs סָפַר (counted)
Foreign names and loanwords - the model often guesses wrongStress placement - when it changes meaning or sounds unnatural
Common words with only one pronunciation (מה, יש, הרבה, שלום, אני, הוא, etc.)
Context makes pronunciation obvious
Most of the sentence - keep it clean
❌ Full nikud: מַה שְׁלוֹמְךָ? יֵשׁ לְךָ הַרְבֵּה כֶּסֶף.
✅ Selective: מה שלומְךָ? יש לְךָ הרבה כסף.
✅ Dagesh: ז'אן-פִּייר אפה פִּיצה מושלמת.
Principle: If you read the word and there's only one way to say it - skip the nikud. If there's ambiguity - add it.
Critical Rules
Length Limits
Optimal : <800 characters per segment (best quality)Maximum : 10,000 characters (API hard limit)Quality degrades with longer text - voice becomes inconsistent
Audio Tags - Best Practices for Natural Sound
1-2 tags per sentence or phrase (not more!)
Tags persist until the next tag - no need to repeat
Overusing tags sounds unnatural and robotic
At emotional transition points
Before key dramatic moments
When energy/pace changes
Write text that matches the tag emotion
Longer text with context = better interpretation
Example: [nervous] I... I'm not sure about this. What if it doesn't work? works better than [nervous] Hello.
[nervously][whispers] = nervous whispering[excited][laughs] = excited laughterKeep combinations to 2 tags max
Regenerate for best results:
v3 is non-deterministic - same text = different outputs
Generate 3+ versions, pick the best
Small text tweaks can improve results
Don't use [shouts] on a whispering voice
Don't use [whispers] on a loud/energetic voice
Test tags with your chosen voice
SSML Not Supported v3 does NOT support SSML break tags. Use audio tags and punctuation instead.
Punctuation Effects (use with tags!) Punctuation enhances audio tags:
Ellipses (...) → dramatic pauses: [nervous] I... I don't know...CAPS → emphasis: [excited] That's AMAZING!Dashes (—) → interruptions: [explaining] So what you do is— [interrupting] Wait!Question marks → uncertainty: [nervous] Are you sure about this?Exclamation! → energy boost: [happy] We did it! Combine tags + punctuation for maximum effect:
[tired] It was a long day... [sighs] Nobody listens anymore.
WhatsApp Voice Messages
Complete Workflow
Generate with tts tool (returns MP3)Convert to Opus (required for Android!)Send with message tool
Step-by-Step 1. Generate TTS (add [pause] at end to prevent cutoff):
tts text="[excited] This is amazing! [pause]" channel=whatsapp
Returns: MEDIA:/tmp/tts-xxx/voice-123.mp3
2. Convert MP3 → Opus using the included converter:
python3 lib/audio_convert.py convert /tmp/tts-xxx/voice-123.mp3 /tmp/tts-xxx/voice-123.ogg
message action=send channel=whatsapp target="+972..." filePath="/tmp/tts-xxx/voice-123.ogg" asVoice=true message=""
Why Opus? Format iOS Android Transcribe MP3 ✅ Works ❌ May fail ❌ No Opus (.ogg) ✅ Works ✅ Works ✅ Yes
Always convert to Opus - it's the only format that:
Works on all devices (iOS + Android)
Supports WhatsApp's transcribe button
Audio Cutoff Fix ElevenLabs sometimes cuts off the last word. Always add [pause] or ... at the end:
[excited] This is amazing! [pause]
Long-Form Audio (Podcasts)
Split into short segments (<800 chars each)
Generate each with tts tool
Concatenate using the included converter:
python3 lib/audio_convert.py concat /tmp/final.mp3 /tmp/part1.mp3 /tmp/part2.mp3
Convert to Opus for WhatsApp:
python3 lib/audio_convert.py convert /tmp/final.mp3 /tmp/final.ogg
Send as single voice message
Important : Don't mention "part 2" or "chapter" - keep it seamless.
Multi-Speaker Dialogue v3 can handle multiple characters in one generation:
Jessica: [whispers] Did you hear that?
Chris: [interrupting] —I heard it too!
Jessica: [panicking] We need to hide!
Dialogue tags : [interrupting], [overlapping], [cuts in], [interjecting]
Audio Tags Quick Reference Category Tags When to Use Emotions [excited], [happy], [sad], [angry], [nervous], [curious] Main emotional state - use 1 per section Delivery [whispers], [shouts], [soft], [rushed], [drawn out] Volume/speed changes Reactions [laughs], [sighs], [gasps], [clears throat], [gulps] Natural human moments - sprinkle sparingly Pacing [pause], [hesitates], [stammers], [breathes] Dramatic timing Character [French accent], [British accent], [robotic tone] Character voice shifts Dialogue [interrupting], [overlapping], [cuts in] Multi-speaker conversations
Most effective tags (reliable results):
Emotions: [excited], [nervous], [sad], [happy]
Reactions: [laughs], [sighs], [whispers]
Pacing: [pause]
Less reliable (test and regenerate):
Sound effects: [explosion], [gunshot]
Accents: results vary by voice
Troubleshooting
Verify using eleven_v3 model
Use IVC/premade voices, not PVC
Simplify tags (no "tone" suffix)
Increase text length (250+ chars)
Segment is too long - split at <800 chars
Regenerate (v3 is non-deterministic)
Try lower stability setting
Convert to Opus format (see above)
Voice may not match tag style
Try Creative stability mode (0.0)
Add more context around the tag
