Kling Text-to-Audio turns text prompts into custom sound effects for videos, games, and multimedia using KlingAI's audio model. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle
$0.035per run·~28 / $1
ExamplesView all
Rain-soaked alley at midnight, distant thunder rumbling, dripping water echoing through narrow stone walls, footsteps fading away into the mist.
Abandoned subway tunnel, faint metallic creaks and echoing drips blending with low, humming air vents and faraway train rumbles
Underwater world — low rumbling currents, muffled bubbles rising, distant whale songs, a calm, otherworldly resonance.
Battlefield aftermath — faint crackle of fire, metallic debris shifting, wind carrying distant echoes of explosions and screams
Sound of a cold winter wind blowing through empty fields and forests, with distant howls and rustling trees.
Fire crackling in a quiet wooden cabin with occasional pops and the soft creak of floorboards.
Ocean waves crashing on rocky cliffs, seagulls calling, and wind sweeping through the coastline.
Medieval blacksmith hammering metal, fire roaring, and the sound of steel cooling in water.
Forest at dawn filled with chirping birds, rustling leaves, and distant animal calls.
Gun being reloaded with metallic clicks, followed by a single gunshot echoing in an open field.
Related Models
README
Kuaivgi — Kling Text-to-SFX
Generate cinematic sound effects directly from text. Describe the scene or action, and Kling creates matching foley, ambience, risers, booms, whooshes, and textures—perfect for trailers, shorts, games, podcasts, and multimedia projects.
Key Features
- Text-to-audio SFX with scene-aware textures and timing
- Wide palette: weather, impacts, machinery, footsteps, creatures, atmospheres
- Clean renders ready for layering and post-mix
- Fast iteration for cue sheets and temp tracks
Parameters
- prompt
Describe what you want to hear. Example: Cold winter night with howling wind across barren fields; deep gusts; distant creaks; approaching snowstorm tension.
- duration
Length of the generated SFX bed in seconds.
How to Use
- Write a concise, concrete prompt naming sources, space, and mood.
- Set the duration to match your shot or loop length.
- Run and download the audio. Trim or loop in your DAW as needed.
Output
- Single SFX track aligned to your requested duration.
- Format follows platform defaults with a downloadable URL.
Pricing
- Just $0.035 per run!!!
Prompting Tips
- Call out materials and distance: metal gate clang close, wood door thud mid, crowd murmur far.
- Add pacing: slow build, big hit at 0:08, decay to silence.
- For loops, keep the ending sparse or symmetrical for seamless repeats.
- Generate stems by running separate prompts for ambience, impacts, and ear-candy, then mix.
Kling Text To Audio API — Quick start
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/kwaivgi/kling-text-to-audio with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Kling Text To Audio below.
HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/kwaivgi/kling-text-to-audio" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"duration": 10
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].Node.js example
// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("kwaivgi/kling-text-to-audio", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"duration": 10
});
console.log(result.outputs[0]); // → URL of the generated outputPython example
# pip install wavespeed
import wavespeed
output = wavespeed.run(
"kwaivgi/kling-text-to-audio",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"duration": 10
}
)
print(output["outputs"][0]) # → URL of the generated outputKling Text To Audio API — Frequently asked questions
What is the Kling Text To Audio API?
Kling Text To Audio is a Kuaishou model for audio generation, exposed as a REST API on WaveSpeedAI. Kling Text-to-Audio turns text prompts into custom sound effects for videos, games, and multimedia using KlingAI's audio model. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.
How do I call the Kling Text To Audio API?
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/kwaivgi/kwaivgi-kling-text-to-audio.
How much does Kling Text To Audio cost per run?
Kling Text To Audio starts at $0.035 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
What inputs does Kling Text To Audio accept?
Key inputs: `prompt`, `duration`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/kwaivgi/kwaivgi-kling-text-to-audio.
How long does Kling Text To Audio take to generate?
Average end-to-end generation time on WaveSpeedAI is around 20 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
Can I use Kling Text To Audio outputs commercially?
Commercial usage rights depend on the model's license, set by its provider (Kuaishou). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.