Describe the sound, get the sound
‘Heavy door slam in a stone corridor’, ‘crackling campfire with distant owl’, ‘cyberpunk neon hum’ - prompt the sound and the model renders it.
ElevenLabs Sound Effect generates royalty-free 48kHz sound effects from a text prompt - foley, ambience, one-shot SFX. Useful for trailers, social cuts, game prototypes and any video that needs sound design.
‘Heavy door slam in a stone corridor’, ‘crackling campfire with distant owl’, ‘cyberpunk neon hum’ - prompt the sound and the model renders it.
Generate foley for video edits without booking a foley session. Cheaper than library licences for one-off needs.
Forest, restaurant, subway, sci-fi corridor - generate a layer of ambience for any scene rather than hunting through a sound library.
Trailer hits, transition stings, UI sounds, alert tones - text-to-SFX is the fastest way to get exactly the right one-shot.
Outputs at 48kHz - the standard sample rate for video and broadcast post production. No resampling required.
Generated SFX are royalty-free - no per-use licence, no re-clearance for new edits. Useful for ad work, social and client-facing content.
48kHz audio - foley, ambience or one-shot SFX based on your text prompt.
48kHz - production-grade for video and broadcast post.
Short to medium one-shots and ambience layers. Per-effect cost shown upfront in the studio meter.
Royalty-free - generated SFX can be used commercially without per-use licence fees.
Text prompt describing the sound. The more specific, the closer the result.
Built by ElevenLabs. You see one cost: ours.
Generate the exact stinger you need rather than hunting through a sound library or paying for a one-use licence.
Quick foley and ambience layers for Reels, Shorts and TikToks. Cheaper than library subscriptions for one-off needs.
UI sounds, alert tones, ambient layers for prototypes - fast, royalty-free, exactly the right tone.
Background room tone and ambience for talking-head and explainer content - subtle, layered, scene-appropriate.
Enough for several test SFX to see how the model interprets your prompts.