Elevenlabs Tts

Install the belt CLI skill: npx skills add belt-sh/cli

ElevenLabs Text-to-Speech

Premium text-to-speech with 22+ voices via inference.sh CLI. Each ElevenLabs model is its own app, at one price.

Quick Start

Requires the inference.sh CLI (belt). Install instructions

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belt login

# Generate speech with Eleven v4
belt app run elevenlabs/eleven-v4 --input '{"text": "Hello, welcome to our product demo.", "voice": "aria"}'

The result has an audio URL to the generated file.

Which App

• Every app has run: the whole text in, an audio file out.
• The two v4 apps also have realtime: text streamed in, speech streamed back as it is written (see Realtime Speech).
• elevenlabs/eleven-v4 and elevenlabs/eleven-v3 also have dialogue: several voices in one take (see Dialogue).
• Check the current price with belt app pricing elevenlabs/eleven-v4.

elevenlabs/tts is the older app that takes the model as an input. It still works; prefer the per-model apps above.

Voice Library

Female Voices

Male Voices

Examples

Basic Speech

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belt app run elevenlabs/eleven-v4 --input '{"text": "Welcome to our quarterly earnings presentation.", "voice": "george"}'

Audio Tags (v4 and v3)

Tags in square brackets are performed, not read aloud. They are free-form directions: emotion, delivery, accents, sounds.

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belt app run elevenlabs/eleven-v4 --input '{
  "text": "[excited] We did it! [whispers] Nobody saw this coming. [laughs] What a day.",
  "voice": "jessica"
}'

Common tags: [laughs], [whispers], [sighs], [excited], [sad], [shouts], [slow], [fast]. The other models read tags aloud, so leave them out there.

Choose a Model

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# Long narration, stable delivery
belt app run elevenlabs/eleven-multilingual-v2 --input '{
  "text": "Chapter one. It was a quiet morning in the harbour town.",
  "voice": "daniel"
}'

# High volume at the lowest price
belt app run elevenlabs/eleven-flash-v2-5 --input '{
  "text": "Your order has shipped and will arrive on Thursday.",
  "voice": "sarah"
}'

Voice Tuning

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belt app run elevenlabs/eleven-v3 --input '{
  "text": "Fine-tune the voice characteristics for your use case.",
  "voice": "bella",
  "stability": 0.3,
  "similarity_boost": 0.9,
  "style": 0.4
}'

Eleven v4 and v4 Turbo have two settings only, stability and similarity_boost. Shape their delivery with audio tags.

Custom Voices

Pass voice_id to use a cloned or designed voice (from elevenlabs/voice-clone or elevenlabs/voice-design). It overrides voice.

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belt app run elevenlabs/eleven-v4 --input '{"text": "This is my own voice.", "voice_id": "YOUR_VOICE_ID"}'

Output Formats

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# High-quality MP3
belt app run elevenlabs/eleven-v4 --input '{
  "text": "High quality audio output.",
  "voice": "daniel",
  "output_format": "mp3_44100_192"
}'

Other Languages

Write the text in the language you want spoken.

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# Spanish
belt app run elevenlabs/eleven-v4 --input '{
  "text": "Hola, bienvenidos a nuestra presentación.",
  "voice": "aria"
}'

# French
belt app run elevenlabs/eleven-v4 --input '{
  "text": "Bonjour, bienvenue à notre démonstration.",
  "voice": "alice"
}'

Dialogue

dialogue speaks a conversation in one take and returns one file. Each line has its own voice.

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belt app run elevenlabs/eleven-v4 --function dialogue --input '{
  "segments": [
    {"text": "[excited] Did you hear? The release went out last night.", "voice": "jessica"},
    {"text": "[surprised] Already? I thought that was next week.", "voice": "george"},
    {"text": "[laughs] Nope. Everything shipped.", "voice": "jessica"}
  ]
}'

Up to 10 different voices. Keep one dialogue under about 2,000 characters and split a longer script into scenes. The price is the app's rate per character, counted across all lines.

Realtime Speech

realtime on elevenlabs/eleven-v4-turbo and elevenlabs/eleven-v4 is a live function: you stream text as it is written (an LLM's tokens, say) and get speech back while it is still coming. It runs over a socket, so call it from the SDK or the app's page, not with belt app run.

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# pip install "inferencesh[async]"
import asyncio
from inferencesh import async_inference

async def main():
    client = async_inference(api_key="...")
    task, session = await client.live({
        "app": "elevenlabs/eleven-v4-turbo",
        "function": "realtime",
        "input": {"voice": "george"},
    })

    async def speak():
        for piece in ["Hello there. ", "This is spoken ", "while it is being written. "]:
            await session.send({"events": {"type": "text", "text": piece}})
        await session.send({"events": {"type": "end"}})   # finish speaking, then end

    asyncio.create_task(speak())
    async for frame in session:
        if isinstance(frame, bytes):
            play(frame)            # raw PCM, 16-bit mono, 24 kHz
        else:
            print(frame)           # {"characters": 54, "seconds": 3.9}

asyncio.run(main())

What you send, as {"events": {...}}:

• Speech starts once about 40 characters and 8 words have arrived. For a short line, send flush.
• Closing the socket ends the session at once. Send end when you want to hear the rest first.
• The voice (voice or voice_id), stability and language_code are set when the session opens.
• A session ends by itself after idle_minutes (default 2) without text.
• You pay for the characters sent, at the app's rate.

Voice + Video Workflow

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# 1. Generate voiceover
belt app run elevenlabs/eleven-v4 --input '{
  "text": "Introducing the future of AI-powered content creation.",
  "voice": "george"
}' > voiceover.json

# 2. Create talking head video
belt app run bytedance/omnihuman-1-5 --input '{
  "image": "https://portrait.jpg",
  "audio": "<audio-url-from-step-1>"
}'

Use Cases

• Voiceovers: Product demos, explainer videos, commercials
• Audiobooks: Long-form narration with consistent voices
• Podcasts: AI hosts with natural delivery
• E-learning: Course narration in multiple languages
• Accessibility: High-quality screen reader content
• IVR: Professional phone system messages
• Voice agents: Speak an LLM's answer while it is still being written, with realtime
• Video Narration: Documentary and social media content

Related Skills

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# ElevenLabs multi-speaker dialogue
npx skills add inference-sh/skills@elevenlabs-dialogue

# ElevenLabs voice changer
npx skills add inference-sh/skills@elevenlabs-voice-changer

# ElevenLabs sound effects
npx skills add inference-sh/skills@elevenlabs-sound-effects

# All TTS models (Kokoro, DIA, Chatterbox, Inworld TTS, and more)
npx skills add inference-sh/skills@text-to-speech

# Full platform skill (all apps)
npx skills add inference-sh/skills@infsh-cli

Browse all audio apps: belt app list --category audio