# Detect Scene Changes in a Video and Save a Frame per Scene

**Use case:** 

Find the cuts in a video and save one image per scene change, with its timecode. Lower the threshold for soft transitions and raise it to catch only hard cuts. This example uses the Sintel short film from Blender. Replace the link with your own direct video file.

## Input

```json
{
  "videoUrls": [
    "https://test-videos.co.uk/vids/sintel/mp4/h264/360/Sintel_360_10s_1MB.mp4"
  ],
  "mode": "sceneChanges",
  "intervalSeconds": 2,
  "frameCount": 10,
  "sceneThreshold": 0.3,
  "includeFirstFrame": true,
  "thumbnailWindowSeconds": 10,
  "maxFrames": 20,
  "imageFormat": "jpg",
  "imageQuality": 85,
  "width": 640,
  "height": 0,
  "contactSheet": false,
  "contactSheetColumns": 4,
  "includeBase64": false,
  "base64MaxKb": 512,
  "maxVideoSizeMb": 500,
  "maxDurationMinutes": 120,
  "videoTimeoutSecs": 600
}
```

## Output

```json
{
  "frameUrl": {
    "label": "Frame",
    "format": "string"
  },
  "videoUrl": {
    "label": "Video",
    "format": "string"
  },
  "frameIndex": {
    "label": "#",
    "format": "integer"
  },
  "timecode": {
    "label": "Timecode",
    "format": "string"
  },
  "timestampSec": {
    "label": "Seconds",
    "format": "number"
  },
  "width": {
    "label": "Width",
    "format": "integer"
  },
  "height": {
    "label": "Height",
    "format": "integer"
  },
  "sizeBytes": {
    "label": "Size (bytes)",
    "format": "integer"
  },
  "mode": {
    "label": "Mode",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Video Frame Extractor: Keyframes, Scenes & Thumbnails for AI Actor is ready to run with the inputs already set for "Detect Scene Changes in a Video and Save a Frame per Scene". [Sign up or log in](https://console.apify.com/create-task-from-example/k4EbMGGxqJzFkmIXL) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Detect Scene Changes in a Video and Save a Frame per Scene" task

The Video Frame Extractor: Keyframes, Scenes & Thumbnails for AI Actor will start running based on the input automatically. You can also change all the input fields, like video urls, mode, and more, to match your specific use case.

### 3. Receive the "Detect Scene Changes in a Video and Save a Frame per Scene" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as frame, video, #, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Detect Scene Changes in a Video and Save a Frame per Scene" task via API](https://apify.com/data-done-right/video-frame-extractor.md).

## About this Actor

This example demonstrates how to use [Video Frame Extractor: Keyframes, Scenes & Thumbnails for AI](https://apify.com/data-done-right/video-frame-extractor.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/data-done-right/video-frame-extractor.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/data-done-right/video-frame-extractor.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).