Video To AuidoKling

kwaivgi/kling-video-to-audio

Kling Video-to-Audio auto-generates or extracts matching sound effects and audio tracks from video using KlingAI's audio generation model. Ready-to-use REST API, best performance, no coldstarts, affordable pricing.

Examples

Parameters

Name	Type	Default	Constraints	Description
video *Video	video_upload	—	video/*	The video for generating the output.Please note that the duration cannot exceed 20s.
sound_effect_promptSound Effect Prompt	textarea	—	≤ 200 chars	Text prompt for sound effect generation, maximum 200 characters
bgm_promptBgm Prompt	textarea	—	≤ 200 chars	Text prompt for background music generation, maximum 200 characters
asmr_modeAsmr Mode	boolean	false	—	Enable ASMR mode to enhance detailed sound effects, suitable for immersive content scenarios

API

Call this model through one unified REST API. Get a key on the API Keys page.

cURL

# 1) Submit — returns { "task_uuid": "..." }
curl -X POST "https://www.namifusion.com/api/v1/marketplace/run/kwaivgi/kling-video-to-audio" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "input": {
    "video": "https://example.com/input.mp4",
    "asmr_mode": false
  }
}'

# 2) Poll until status is "completed", then read the output URLs
curl "https://www.namifusion.com/api/v1/marketplace/run/tasks/TASK_UUID" \
  -H "Authorization: Bearer YOUR_API_KEY"

Python

import time, requests

API_KEY = "YOUR_API_KEY"
HEADERS = {"Authorization": f"Bearer {API_KEY}"}

# 1) Submit
resp = requests.post(
    "https://www.namifusion.com/api/v1/marketplace/run/kwaivgi/kling-video-to-audio",
    headers=HEADERS,
    json={
        "input": {
            "video": "https://example.com/input.mp4",
            "asmr_mode": False
        }
    },
)
resp.raise_for_status()  # 401/402/429/5xx stop here instead of polling a bad task
task = resp.json()

# 2) Poll until a terminal state (completed / failed / cancelled).
#    This model is allowed up to 300s server-side.
deadline = time.time() + 360
while task.get("status") not in ("completed", "failed", "cancelled"):
    if time.time() > deadline:
        raise TimeoutError(f"still {task.get('status')} — keep the task_uuid and poll later")
    time.sleep(3)
    poll = requests.get(f"https://www.namifusion.com/api/v1/marketplace/run/tasks/{task['task_uuid']}", headers=HEADERS)
    poll.raise_for_status()
    task = poll.json()

print(task["status"], task.get("output"))

JavaScript

const API_KEY = "YOUR_API_KEY";
const HEADERS = { Authorization: `Bearer ${API_KEY}` };

// 1) Submit
const resp = await fetch("https://www.namifusion.com/api/v1/marketplace/run/kwaivgi/kling-video-to-audio", {
  method: "POST",
  headers: { ...HEADERS, "Content-Type": "application/json" },
  body: JSON.stringify({
    "input": {
      "video": "https://example.com/input.mp4",
      "asmr_mode": false
    }
  }),
});
if (!resp.ok) throw new Error(`submit failed: ${resp.status} ${await resp.text()}`);
let task = await resp.json();

// 2) Poll until a terminal state (completed / failed / cancelled).
//    This model is allowed up to 300s server-side.
const deadline = Date.now() + 360 * 1000;
while (!["completed", "failed", "cancelled"].includes(task.status)) {
  if (Date.now() > deadline) throw new Error(`still ${task.status} — keep the task_uuid and poll later`);
  await new Promise((r) => setTimeout(r, 3000));
  const poll = await fetch(`https://www.namifusion.com/api/v1/marketplace/run/tasks/${task.task_uuid}`, { headers: HEADERS });
  if (!poll.ok) throw new Error(`poll failed: ${poll.status}`);
  task = await poll.json();
}

console.log(task.status, task.output);

Documentation

kwaivgi/kling-video-to-audio

Generate synchronized sound effects and background music from video with no cold start and production-friendly cost.

kwaivgi/kling-video-to-audio is an AI model for video-to-audio generation that automatically creates or extracts matching sound effects and audio tracks from an input video. Using short prompts for SFX and BGM, it enables fast, controllable soundtrack creation for silent clips while maintaining strong alignment with scene timing, motion, and mood.

Built on KlingAI’s audio generation capabilities, this model is well suited for teams that need fast turnaround, affordable per-job pricing, and reliable runtime performance. It is especially effective for trailers, short-form content, product videos, and atmospheric visual pieces.

🚀 Key Features

Video-conditioned audio generation: Produces sound effects and background music that follow the visual action, pacing, and energy of the source video.
Dual-prompt control: Separate prompts for SFX and BGM make it easier to shape foley, ambience, musical tone, and overall emotional direction.
Optional ASMR mode: Enhances micro-detail and close-mic texture for more immersive, tactile listening experiences.
Fast creative iteration: Quickly refine prompts, re-render outputs, and compare variations during sound design exploration.
Broad footage compatibility: Works well with cinematic, documentary, gameplay, and product-focused video content.
No cold start, cost-efficient: Designed for responsive production workflows where consistency and unit economics matter.

🛠️ Technical Specifications

Item	Details
Model	kwaivgi/kling-video-to-audio
Model architecture	Video-to-audio generation model
Core capability	Generates synchronized SFX and BGM for input video
Input Format	Video, sound effect prompt, background music prompt, ASMR mode toggle
Output Format	Audio
Duration	Input video up to 20 seconds
Sound effect prompt length	Up to 200 characters
BGM prompt length	Up to 200 characters
ASMR mode	Supported（default: false）
Synchronization	Output audio is designed to match the input video duration
Recommended source material	Silent clips or videos requiring sound design enhancement
Latency	Fast platform-level inference; actual runtime depends on content and system load
Cold start	None

Sample Prompts

Sound effect prompt examples

Thunderstorm, heavy rain, distant thunder rolls, glass rattling, wind gusts, ocean waves slamming rocks.
Leather jacket rustle, footsteps on wet concrete, elevator ding, neon hum.

BGM prompt examples

Brooding orchestral score, low strings, sparse piano hits, slow build with sub-bass swells.
Minimal electronic ambience, slow tempo, soft synth pads, gradual tension build.

💰 Pricing

Pricing Item	Price
Base price per job	$0.035

💡 Best Use Cases

Short-form and social media video: Add polished sound design to silent clips for stronger engagement and emotional impact.
E-commerce and product marketing: Enhance product visuals with tactile SFX, ambience, and branded musical mood.
Trailers and mood films: Rapidly generate soundtrack concepts for pitch decks, previews, and creative prototypes.
Game and film pre-production: Create temporary or exploratory audio beds for animatics, rough cuts, and internal reviews.

🔗 Related Models

This listing covers kwaivgi/kling-video-to-audio, focused on generating audio from video input. If you are evaluating the broader Kling family, you may also consider related variants for video generation, editing, or higher-end production workflows depending on your pipeline requirements.