elevenlabs
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Esta habilidad permite la generación de audio impulsada por IA a través de las APIs de ElevenLabs, incluyendo texto a voz, efectos de sonido y creación musical. Está diseñada para desarrolladores que crean contenido de audio para videos, podcasts o juegos. Las características clave incluyen clonación de voz, narración, generación de bandas sonoras y síntesis de audio a partir de indicaciones descriptivas.
Instalación rápida
Claude Code
Recomendadonpx skills add digitalsamba/claude-code-video-toolkit -a claude-code/plugin add https://github.com/digitalsamba/claude-code-video-toolkitgit clone https://github.com/digitalsamba/claude-code-video-toolkit.git ~/.claude/skills/elevenlabsCopia y pega este comando en Claude Code para instalar esta habilidad
Documentación
ElevenLabs Audio Generation
Requires ELEVENLABS_API_KEY in .env.
Text-to-Speech
from elevenlabs.client import ElevenLabs
from elevenlabs import save, VoiceSettings
import os
client = ElevenLabs(api_key=os.getenv("ELEVENLABS_API_KEY"))
audio = client.text_to_speech.convert(
text="Welcome to my video!",
voice_id="JBFqnCBsd6RMkjVDRZzb",
model_id="eleven_multilingual_v2",
voice_settings=VoiceSettings(
stability=0.5,
similarity_boost=0.75,
style=0.5,
speed=1.0
)
)
save(audio, "voiceover.mp3")
Models
| Model | Quality | SSML Support | Notes |
|---|---|---|---|
eleven_multilingual_v2 | Highest consistency | None | Stable, production-ready, 29 languages |
eleven_flash_v2_5 | Good | <break>, <phoneme> | Fast, supports pause/pronunciation tags |
eleven_turbo_v2_5 | Good | <break>, <phoneme> | Fastest latency |
eleven_v3 | Most expressive | None | Alpha — unreliable, needs prompt engineering |
Choose: multilingual_v2 for reliability, flash/turbo for SSML control, v3 for maximum expressiveness (expect retakes).
Voice Settings by Style
| Style | stability | similarity | style | speed |
|---|---|---|---|---|
| Natural/professional | 0.75-0.85 | 0.9 | 0.0-0.1 | 1.0 |
| Conversational | 0.5-0.6 | 0.85 | 0.3-0.4 | 0.9-1.0 |
| Energetic/YouTuber | 0.3-0.5 | 0.75 | 0.5-0.7 | 1.0-1.1 |
Pauses Between Sections
With flash/turbo models: Use SSML break tags inline:
...end of section. <break time="1.5s" /> Start of next...
Max 3 seconds per break. Excessive breaks can cause speed artifacts.
With multilingual_v2 / v3: No SSML support. Options:
- Paragraph breaks (blank lines) — creates ~0.3-0.5s natural pause
- Post-process with ffmpeg: split audio and insert silence
WARNING: ... (ellipsis) is NOT a reliable pause — it can be vocalized as a word/sound. Do not use ellipsis as a pause mechanism.
Pronunciation Control
Phonetic spelling (any model): Write words as you want them pronounced:
Janus→Jan-usnginx→engine-x- Use dashes, capitals, apostrophes to guide pronunciation
SSML phoneme tags (flash/turbo only):
<phoneme alphabet="ipa" ph="ˈdʒeɪnəs">Janus</phoneme>
Iterative Workflow
- Generate → listen → identify pronunciation/pacing issues
- Adjust: phonetic spellings, break tags, voice settings
- Regenerate. If pauses aren't precise enough, add silence in post with ffmpeg rather than fighting the TTS engine.
Voice Cloning
Instant Voice Clone
with open("sample.mp3", "rb") as f:
voice = client.voices.ivc.create(
name="My Voice",
files=[f],
remove_background_noise=True
)
print(f"Voice ID: {voice.voice_id}")
- Use
client.voices.ivc.create()(notclient.voices.clone()) - Pass file handles in binary mode (
"rb"), not paths - Convert m4a first:
ffmpeg -i input.m4a -codec:a libmp3lame -qscale:a 2 output.mp3 - Multiple samples (2-3 clips) improve accuracy
- Save voice ID for reuse
Professional Voice Clone: Requires Creator plan+, 30+ min audio. See reference.md.
Sound Effects
Max 22 seconds per generation.
result = client.text_to_sound_effects.convert(
text="Thunder rumbling followed by heavy rain",
duration_seconds=10,
prompt_influence=0.3
)
with open("thunder.mp3", "wb") as f:
for chunk in result:
f.write(chunk)
Prompt tips: Be specific — "Heavy footsteps on wooden floorboards, slow and deliberate, with creaking"
Music Generation
10 seconds to 5 minutes. Use client.music.compose() (not .generate()).
result = client.music.compose(
prompt="Upbeat indie rock, catchy guitar riff, energetic drums, travel vlog",
music_length_ms=60000,
force_instrumental=True
)
with open("music.mp3", "wb") as f:
for chunk in result:
f.write(chunk)
Prompt structure: Genre, mood, instruments, tempo, use case. Add "no vocals" or use force_instrumental=True for background music.
Remotion Integration
Complete Workflow: Script to Synchronized Scene
VOICEOVER-SCRIPT.md → voiceover.py → public/audio/ → Remotion composition
↓ ↓ ↓ ↓
Scene narration Generate MP3 Audio files <Audio> component
with durations per scene with timing synced to scenes
Step 1: Generate Per-Scene Audio
Use the toolkit's voiceover tool to generate audio for each scene:
# Generate voiceover files for each scene
python tools/voiceover.py --scene-dir public/audio/scenes --json
# Output:
# public/audio/scenes/
# ├── scene-01-title.mp3
# ├── scene-02-problem.mp3
# ├── scene-03-solution.mp3
# └── manifest.json (durations for each file)
The manifest.json contains timing info:
{
"scenes": [
{ "file": "scene-01-title.mp3", "duration": 4.2 },
{ "file": "scene-02-problem.mp3", "duration": 12.8 },
{ "file": "scene-03-solution.mp3", "duration": 15.3 }
],
"totalDuration": 32.3
}
Step 2: Use Audio in Remotion Composition
// src/Composition.tsx
import { Audio, staticFile, Series, useVideoConfig } from 'remotion';
// Import scene components
import { TitleSlide } from './scenes/TitleSlide';
import { ProblemSlide } from './scenes/ProblemSlide';
import { SolutionSlide } from './scenes/SolutionSlide';
// Scene durations (from manifest.json, converted to frames at 30fps)
const SCENE_DURATIONS = {
title: Math.ceil(4.2 * 30), // 126 frames
problem: Math.ceil(12.8 * 30), // 384 frames
solution: Math.ceil(15.3 * 30), // 459 frames
};
export const MainComposition: React.FC = () => {
return (
<>
{/* Scene sequence */}
<Series>
<Series.Sequence durationInFrames={SCENE_DURATIONS.title}>
<TitleSlide />
</Series.Sequence>
<Series.Sequence durationInFrames={SCENE_DURATIONS.problem}>
<ProblemSlide />
</Series.Sequence>
<Series.Sequence durationInFrames={SCENE_DURATIONS.solution}>
<SolutionSlide />
</Series.Sequence>
</Series>
{/* Audio track - plays continuously across all scenes */}
<Audio src={staticFile('audio/voiceover.mp3')} volume={1} />
{/* Optional: Background music at lower volume */}
<Audio src={staticFile('audio/music.mp3')} volume={0.15} />
</>
);
};
Step 3: Per-Scene Audio (Alternative)
For more control, add audio to each scene individually:
// src/scenes/ProblemSlide.tsx
import { Audio, staticFile, useCurrentFrame } from 'remotion';
export const ProblemSlide: React.FC = () => {
const frame = useCurrentFrame();
return (
<div style={{ /* slide styles */ }}>
<h1>The Problem</h1>
{/* Scene content */}
{/* Audio starts when this scene starts (frame 0 of this sequence) */}
<Audio src={staticFile('audio/scenes/scene-02-problem.mp3')} />
</div>
);
};
Syncing Visuals to Voiceover
Calculate scene duration from audio, not the other way around:
// src/config/timing.ts
import manifest from '../../public/audio/scenes/manifest.json';
const FPS = 30;
// Convert audio durations to frame counts
export const sceneDurations = manifest.scenes.reduce((acc, scene) => {
const name = scene.file.replace(/^scene-\d+-/, '').replace('.mp3', '');
acc[name] = Math.ceil(scene.duration * FPS);
return acc;
}, {} as Record<string, number>);
// Usage in composition:
// <Series.Sequence durationInFrames={sceneDurations.title}>
Audio Timing Patterns
import { Audio, Sequence, interpolate, useCurrentFrame } from 'remotion';
// Fade in audio
export const FadeInAudio: React.FC<{ src: string; fadeFrames?: number }> = ({
src,
fadeFrames = 30
}) => {
const frame = useCurrentFrame();
const volume = interpolate(frame, [0, fadeFrames], [0, 1], {
extrapolateRight: 'clamp',
});
return <Audio src={src} volume={volume} />;
};
// Delayed audio start
export const DelayedAudio: React.FC<{ src: string; delayFrames: number }> = ({
src,
delayFrames
}) => (
<Sequence from={delayFrames}>
<Audio src={src} />
</Sequence>
);
// Usage:
// <FadeInAudio src={staticFile('audio/music.mp3')} fadeFrames={60} />
// <DelayedAudio src={staticFile('audio/sfx/whoosh.mp3')} delayFrames={45} />
Voiceover + Demo Video Sync
When a scene has both voiceover and demo video:
import { Audio, OffthreadVideo, staticFile, useVideoConfig } from 'remotion';
export const DemoScene: React.FC = () => {
const { durationInFrames, fps } = useVideoConfig();
// Calculate playback rate to fit demo into voiceover duration
const demoDuration = 45; // seconds (original demo length)
const sceneDuration = durationInFrames / fps; // seconds (from voiceover)
const playbackRate = demoDuration / sceneDuration;
return (
<>
<OffthreadVideo
src={staticFile('demos/feature-demo.mp4')}
playbackRate={playbackRate}
/>
<Audio src={staticFile('audio/scenes/scene-04-demo.mp3')} />
</>
);
};
Error Handling
import { Audio, staticFile, delayRender, continueRender } from 'remotion';
import { useEffect, useState } from 'react';
export const SafeAudio: React.FC<{ src: string }> = ({ src }) => {
const [handle] = useState(() => delayRender());
const [audioReady, setAudioReady] = useState(false);
useEffect(() => {
const audio = new window.Audio(src);
audio.oncanplaythrough = () => {
setAudioReady(true);
continueRender(handle);
};
audio.onerror = () => {
console.error(`Failed to load audio: ${src}`);
continueRender(handle); // Continue without audio rather than hang
};
}, [src, handle]);
if (!audioReady) return null;
return <Audio src={src} />;
};
Toolkit Command: /generate-voiceover
The /generate-voiceover command handles the full workflow:
/generate-voiceover
1. Reads VOICEOVER-SCRIPT.md
2. Extracts narration for each scene
3. Generates audio via ElevenLabs API
4. Saves to public/audio/scenes/
5. Creates manifest.json with durations
6. Updates project.json with timing info
Popular Voices
- George:
JBFqnCBsd6RMkjVDRZzb(warm narrator) - Rachel:
21m00Tcm4TlvDq8ikWAM(clear female) - Adam:
pNInz6obpgDQGcFmaJgB(professional male)
List all: client.voices.get_all()
For full API docs, see reference.md.
Repositorio GitHub
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