Detalle del Skill
text-to-speech
Convierte texto a voz con la IA de voz de ElevenLabs, con soporte para más de 70 idiomas, varios modelos, ajustes de voz y locuciones.
Necesita (declarado): API key · Network access
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SKILL.md
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---
name: text-to-speech
description: Convert text to speech using ElevenLabs voice AI. Use when generating audio from text, creating voiceovers, building voice apps, or synthesizing speech in 70+ languages.
license: MIT
compatibility: Requires internet access and an ElevenLabs API key (ELEVENLABS_API_KEY).
metadata: {"openclaw": {"requires": {"env": ["ELEVENLABS_API_KEY"]}, "primaryEnv": "ELEVENLABS_API_KEY"}}
---
# ElevenLabs Text-to-Speech
Generate natural speech from text - supports 70+ languages, multiple models for quality vs latency tradeoffs.
> **Setup:** See [Installation Guide](references/installation.md). For JavaScript, use `@elevenlabs/*` packages only.
## Quick Start
### Python
```python
from elevenlabs import ElevenLabs
client = ElevenLabs()
audio = client.text_to_speech.convert(
text="Hello, welcome to ElevenLabs!",
voice_id="JBFqnCBsd6RMkjVDRZzb", # George
model_id="eleven_multilingual_v2"
)
with open("output.mp3", "wb") as f:
for chunk in audio:
f.write(chunk)
```
### JavaScript
```javascript
import { ElevenLabsClient } from "@elevenlabs/elevenlabs-js";
import { createWriteStream } from "fs";
import { Readable } from "stream";
const client = new ElevenLabsClient();
const audio = await client.textToSpeech.convert("JBFqnCBsd6RMkjVDRZzb", {
text: "Hello, welcome to ElevenLabs!",
modelId: "eleven_multilingual_v2",
});
// convert() returns a web ReadableStream — bridge it to a Node stream to write to disk
Readable.fromWeb(audio).pipe(createWriteStream("output.mp3"));
```
### CLI
Use `say` to play text immediately with the default voice and `eleven_v3` model:
```bash
elevenlabs say "Hello!"
```
Pipe text into `say` when another command produces the input:
```bash
echo "The build finished successfully." | elevenlabs say
```
Use the API command when you need to set request parameters directly:
```bash
elevenlabs text-to-speech convert --voice-id JBFqnCBsd6RMkjVDRZzb \
--text "Hello!" --model-id eleven_multilingual_v2 --output output.mp3
```
The CLI reads `ELEVENLABS_API_KEY` from the environment automatically.
## Models
| Model ID | Languages | Latency | Best For |
|----------|-----------|---------|----------|
| `eleven_v3` | 70+ | Standard | Highest quality, emotional range |
| `eleven_multilingual_v2` | 29 | Standard | High quality, long-form content |
| `eleven_flash_v2_5` | 32 | ~75ms | Ultra-low latency, real-time |
| `eleven_flash_v2` | English | ~75ms | English-only, fastest |
| `eleven_turbo_v2_5` | 32 | ~250-300ms | Balanced quality/speed |
| `eleven_turbo_v2` | English | ~250-300ms | English-only, balanced |
## Voice IDs
Use pre-made voices or create custom voices in the dashboard.
**Popular voices:**
- `JBFqnCBsd6RMkjVDRZzb` - George (male, narrative)
- `EXAVITQu4vr4xnSDxMaL` - Sarah (female, soft)
- `onwK4e9ZLuTAKqWW03F9` - Daniel (male, authoritative)
- `XB0fDUnXU5powFXDhCwa` - Charlotte (female, conversational)
```python
voices = client.voices.get_all()
for voice in voices.voices:
print(f"{voice.voice_id}: {voice.name}")
```
## Voice Settings
Fine-tune how the voice sounds:
- **Stability**: How consistent the voice stays. Lower values = more emotional range and variation, but can sound unstable. Higher = steady, predictable delivery.
- **Similarity boost**: How closely to match the original voice sample. Higher values sound more like the original but may amplify audio artifacts.
- **Style**: Exaggerates the voice's unique style characteristics (only works with v2+ models).
- **Speaker boost**: Post-processing that enhances clarity and voice similarity.
```python
from elevenlabs import VoiceSettings
audio = client.text_to_speech.convert(
text="Customize my voice settings.",
voice_id="JBFqnCBsd6RMkjVDRZzb",
voice_settings=VoiceSettings(
stability=0.5,
similarity_boost=0.75,
style=0.5,
speed=1.0, # 0.25 to 4.0 (default 1.0)
use_speaker_boost=True
)
)
```
## Language SelectiLeer la fuente completa en GitHub (abre una página externa)