Elevenlabs

ElevenLabs Audio Generation

OpenMontage provider routing

Inspect the OpenMontage registry before choosing an authentication path.

• Prefer fal_elevenlabs_tts when it is available. It provides Eleven v3, Multilingual v2, and Turbo v2.5 through the centrally managed fal.ai connection; no separate ElevenLabs credential is needed.
• Use elevenlabs_tts only when that direct provider is already reported as available by the registry.
• In a shared installation, never tell the user to create a .env, export a key, or paste a credential. Report missing direct-provider access as an administrator setup request.

The direct API examples below require a centrally configured ELEVENLABS_API_KEY; they are not the default path when the fal.ai provider is available.

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-us
• nginx → engine-x
• Use dashes, capitals, apostrophes to guide pronunciation

SSML phoneme tags (flash/turbo only):

<phoneme alphabet="ipa" ph="ˈdʒeɪnəs">Janus</phoneme>

Iterative Workflow

1. Generate → listen → identify pronunciation/pacing issues
2. Adjust: phonetic spellings, break tags, voice settings
3. 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() (not client.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.