sound-effects
Skill527 starsChanged 14 days agoMITView on GitHub
Generate sound effects from text descriptions using ElevenLabs. Use when creating sound effects, generating audio textures, producing ambient sounds, cinematic impacts, UI sounds, or any audio that isn't speech. Supports looping, duration control, and prompt influence tuning.
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ElevenLabs Sound Effects
Generate sound effects from text descriptions — supports looping, custom duration, and prompt adherence control.
Setup, before writing any code: if
ELEVENLABS_API_KEYisn't set for this project, runnpx -y @elevenlabs/cli@latest onboard initfrom the app's folder first and follow what it prints: it signs the user in and stores a key for the project, so nobody copies one by hand. Otherwise see the Installation Guide. For JavaScript, use@elevenlabs/*packages only.
Quick Start
Python
from elevenlabs import ElevenLabs
client = ElevenLabs()
audio = client.text_to_sound_effects.convert(
text="Thunder rumbling in the distance with light rain",
)
with open("thunder.mp3", "wb") as f:
for chunk in audio:
f.write(chunk)JavaScript
import { ElevenLabsClient } from "@elevenlabs/elevenlabs-js";
import { createWriteStream } from "fs";
const client = new ElevenLabsClient();
const audio = await client.textToSoundEffects.convert({
text: "Thunder rumbling in the distance with light rain",
});
audio.pipe(createWriteStream("thunder.mp3"));CLI
elevenlabs text-to-sound-effects convert \
--text "Thunder rumbling in the distance with light rain" \
--output thunder.mp3Parameters
| Parameter | Type | Default | Description |
text | string (required) | — | Description of the desired sound effect |
model_id | string | eleven_text_to_sound_v2 | Model to use |
duration_seconds | number | null | null (auto) | Duration 0.5–30s; auto-calculated if null |
prompt_influence | number | null | 0.3 | How closely to follow the prompt (0–1) |
loop | boolean | false | Generate a seamlessly looping sound (v2 model only) |
Examples with Parameters
# Looping ambient sound, 10 seconds
audio = client.text_to_sound_effects.convert(
text="Gentle forest ambiance with birds chirping",
duration_seconds=10.0,
prompt_influence=0.5,
loop=True,
)
# Short UI sound, high prompt adherence
audio = client.text_to_sound_effects.convert(
text="Soft notification chime",
duration_seconds=1.0,
prompt_influence=0.8,
)Output Formats
Pass --output-format (CLI) or output_format as an SDK parameter:
| Format | Description |
mp3_44100_128 | MP3 44.1kHz 128kbps (default) |
pcm_44100 | Raw uncompressed CD quality |
opus_48000_128 | Opus 48kHz 128kbps — efficient compressed |
ulaw_8000 | μ-law 8kHz — telephony |
Full list: mp3_22050_32, mp3_24000_48, mp3_44100_32, mp3_44100_64, mp3_44100_96, mp3_44100_128, mp3_44100_192, pcm_8000, pcm_16000, pcm_22050, pcm_24000, pcm_32000, pcm_44100, pcm_48000, wav_8000, wav_16000, wav_22050, wav_24000, wav_32000, wav_44100, wav_48000, ulaw_8000, alaw_8000, opus_48000_32, opus_48000_64, opus_48000_96, opus_48000_128, opus_48000_192.
Prompt Tips
- Be specific: "Heavy rain on a tin roof" > "Rain"
- Combine elements: "Footsteps on gravel with distant traffic"
- Specify style: "Cinematic braam, horror" or "8-bit retro jump sound"
- Mention mood/context: "Eerie wind howling through an abandoned building"
Error Handling
try:
audio = client.text_to_sound_effects.convert(text="Explosion")
except Exception as e:
print(f"API error: {e}")Common errors:
- 401: Invalid API key
- 422: Invalid parameters (check duration range, prompt_influence range)
- 429: Rate limit exceeded
References
- Installation Guide
Other versions9 projects use a version of this.
Word for word · 0
None found.
Edited · 5
- calesthio/OpenMontage★ 74k91% same
- tadaspetra/loop★ 29691% same
- LinHao-city/StoryMind★ 1091% same
- elevenlabs/plugin★ 398% same
- Gopyr/gopyr-skills-hub★ 067% same
Wrote their own version · 4
- Barty-Bart/motion-graphics★ 845same name
- awesome-genmedia/skills★ 36same name
- puntorigen/avatar-skills★ 3same name
- puntorigen/skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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