# Kling Lip Sync

> Run Kling Lip Sync by klingai online or via API. $0.014/sec, 5sec minimum, no setup.

**URL:** https://inference.sh/apps/klingai/lip-sync
**Last updated:** 2026-08-07

---

Kling Lip Sync - drive mouth movements in videos using text or audio. Ideal for dubbing, adding speech to silent videos, or replacing dialogue.

- app: `klingai/lip-sync`
- maker: [klingai](https://inference.sh/apps/klingai.md)
- category: [video](https://inference.sh/apps/category/video.md)
- tasks: [lip sync](https://inference.sh/apps/tag/lip-sync.md)
- price: $0.014/sec, 5sec minimum
- runs via: api, javascript and python sdk, belt cli, mcp

## lip-sync API Guide

### About
kling lip sync - drive mouth movements in videos using text or audio. ideal for dubbing, adding speech to silent videos, or replacing dialogue.

### Get an API Key
Create one in [settings → api keys](https://app.inference.sh/settings/keys). The examples read it from `INFERENCE_API_KEY`.

```bash
export INFERENCE_API_KEY="inf_your_key"
```

### 1. Calling the API

#### Install the Client

```bash
pip install inferencesh
```

#### Run and Get Result
Submit a request and wait for the final result.

```python
import os
from inferencesh import inference

client = inference(api_key=os.environ["INFERENCE_API_KEY"])

## version @000kq6xq pinned
result = client.run({
        "app": "klingai/lip-sync@000kq6xq",
        "input": {
            "video": "https://example.com/file.png",
            "audio": "https://example.com/file.png"
        }
    })

print(result["output"])
```

#### Stream Live Updates
Get real-time progress updates as the task runs.

```python
import os
from inferencesh import inference

client = inference(api_key=os.environ["INFERENCE_API_KEY"])

## version @000kq6xq pinned
## stream=True yields updates as they arrive
for update in client.run({
        "app": "klingai/lip-sync@000kq6xq",
        "input": {
            "video": "https://example.com/file.png",
            "audio": "https://example.com/file.png"
        }
    }, stream=True):
    if update.get("progress"):
        print(f"progress: {update['progress']}%")
    if update.get("output"):
        print(f"output: {update['output']}")
```

#### Run in the Background
Start the task and get its id back right away, then check on it with `GET /tasks/{id}`. It is done when `status` is 10 (completed), 11 (failed) or 12 (cancelled).

```python
import os
from inferencesh import inference, TaskStatus

client = inference(api_key=os.environ["INFERENCE_API_KEY"])

## returns as soon as the task is created
task = client.run({
        "app": "klingai/lip-sync@000kq6xq",
        "input": {
            "video": "https://example.com/file.png",
            "audio": "https://example.com/file.png"
        }
    }, wait=False)

## later: read its current state
state = client.tasks.get(task["id"]).data
if state["status"] == TaskStatus.COMPLETED:
    print(state["output"])
```

### 2. Files

#### Automatic Upload

```python
## local file paths are automatically uploaded
result = client.run({
    "app": "klingai/lip-sync@000kq6xq",
    "input": {
        "image": "/path/to/local/image.png",  # detected & uploaded
        "audio": "https://example.com/audio.mp3",  # url passed through
    }
})
```

#### Manual Upload

```python
## upload and get a hosted URL
file = client.files.upload("/path/to/file.png")
print(file.uri)  # https://cloud.inference.sh/...
```

### 3. Schema

#### Input
- **video** (string) *required*: Source video with a visible face. Formats: mp4, mov.
- **audio** (string) *required*: Audio file to drive lip sync. Formats: mp3, wav, m4a, aac. Max 5MB, 2-60 seconds.
- **sound_volume** (number): Volume of the lip-sync audio (0-2, default 2).
- **original_audio_volume** (number): Volume of the original video audio (0-2, default 2). Set to 0 to mute original.
- **sound_end_time** (integer): Audio crop end point in milliseconds. The cropped audio must not exceed video duration. If not set, uses the video duration.

#### Output
- **video** (string): The lip-synced video file.

## other video apps

- [Kling Video V4 Flash](https://inference.sh/apps/klingai/video-v4-flash.md): $0.094/s at 720p
- [Kling Video V4](https://inference.sh/apps/klingai/video-v4.md): $0.157/s at 720p, $0.235/s at 1080p
- [Pika H3 Flex (self-hosted)](https://inference.sh/apps/pika/pika-h3-flex-oss.md): GPU time, billed per millisecond
- [Pika H3 Flex Upscale](https://inference.sh/apps/pika/pika-h3-flex-upscale.md): $0.05-$0.14/sec (480p src), $0.03-$0.12/sec (768p src); 1080p/2K/4K targets
- [Pika H3 Flex Reference to Video](https://inference.sh/apps/pika/pika-h3-flex-reference.md): $0.06/sec 480p, $0.12/sec 768p, $0.15/sec 1080p, $0.16/sec 2k, $0.20/sec 4k (output+input video sec). Stems: $0.001/sec

## faq

### how much does Kling Lip Sync cost?

$0.014/sec, 5sec minimum. you pay per run from your inference shell credits. no subscription is required.

### how do I run Kling Lip Sync via api?

call klingai/lip-sync with the javascript or python sdk, the rest api, or `belt app run klingai/lip-sync` from a terminal. the api reference on this page lists every input.

### who makes Kling Lip Sync?

Kling Lip Sync is made by klingai and runs on inference shell. every klingai app is listed at https://inference.sh/apps/klingai.

### can my agent use Kling Lip Sync?

yes. agents call it as a tool through the inference shell mcp server (https://api.inference.sh/mcp), the belt cli or the sdk, and pay per run like you do.

### what are the alternatives to Kling Lip Sync?

other video apps on inference shell include Kling Video V4 Flash, Kling Video V4, Pika H3 Flex (self-hosted), Pika H3 Flex Upscale. they run through the same api, so switching is a one-line change.