# Extract evenly spaced frames from a video as JPG

**Use case:** 

Extract a set number of still frames from a public MP4 video link. Each row has the frame image link, timestamp, timecode and size, plus a contact sheet of all frames. Switch mode to every N seconds, exact timestamps or scene changes.

## Input

```json
{
  "videoUrls": [
    "https://test-videos.co.uk/vids/bigbuckbunny/mp4/h264/360/Big_Buck_Bunny_360_10s_1MB.mp4"
  ],
  "mode": "count",
  "frameCount": 8,
  "everySeconds": 10,
  "timestamps": [],
  "sceneThreshold": 0.3,
  "maxFramesPerVideo": 30,
  "format": "jpg",
  "width": 1280,
  "quality": 85,
  "contactSheet": true,
  "maxVideoMinutes": 30,
  "onlyNew": false,
  "monitorId": "default",
  "datasetMaxItems": 1000
}
```

## Output

```json
{
  "type": {
    "label": "Type",
    "format": "text"
  },
  "videoUrl": {
    "label": "Video url",
    "format": "link"
  },
  "frameIndex": {
    "label": "Frame index",
    "format": "number"
  },
  "timestampSec": {
    "label": "Timestamp sec",
    "format": "number"
  },
  "timecode": {
    "label": "Timecode",
    "format": "text"
  },
  "imageUrl": {
    "label": "Image url",
    "format": "image"
  },
  "key": {
    "label": "Key",
    "format": "text"
  },
  "width": {
    "label": "Width",
    "format": "number"
  },
  "height": {
    "label": "Height",
    "format": "number"
  },
  "sceneScore": {
    "label": "Scene score",
    "format": "text"
  },
  "mode": {
    "label": "Mode",
    "format": "text"
  },
  "durationSec": {
    "label": "Duration sec",
    "format": "number"
  }
}
```

## How it works

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

The Video Frame Extractor - Scene Detection, $1.50/1k Frames Actor is ready to run with the inputs already set for "Extract evenly spaced frames from a video as JPG". [Sign up or log in](https://console.apify.com/create-task-from-example/tjcBJwfZvPwHYPNk5) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Extract evenly spaced frames from a video as JPG" task

The Video Frame Extractor - Scene Detection, $1.50/1k Frames 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 "Extract evenly spaced frames from a video as JPG" 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 type, video url, frame index, 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 "Extract evenly spaced frames from a video as JPG" task via API](https://apify.com/martin10291/video-frame-extractor.md).

## FAQ

### How much does a run cost?

You pay per result: $0.0015 per result on the Free plan (about $1.50 per 1,000). Paid Apify plans get lower tiered prices.

### What can I change in the input?

Edit videoUrls, mode (count, interval, timestamps, scenes), frameCount, everySeconds, format and width.

### Can I run it on a schedule and get only new items?

Yes. Add this task to an Apify Schedule and use onlyNew: later runs return only what was not reported before. The first run returns everything. Keep the same Monitor ID for each watch list.

## About this Actor

This example demonstrates how to use [Video Frame Extractor - Scene Detection, $1.50/1k Frames](https://apify.com/martin10291/video-frame-extractor.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/martin10291/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/martin10291/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`).