# Turn a conference talk into one frame per slide

**Use case:** 

Get one sharp frame per slide from a recorded talk or webinar, with the slide text read by OCR. Ready for AI summaries.

## Input

```json
{
  "urls": [
    "https://upload.wikimedia.org/wikipedia/commons/2/29/Research_and_Privacy_on_Wikipedia_-_Wikimania_2025_Lightning_Talk_-_Eli_Asikin-Garmager.webm"
  ],
  "urlField": "url",
  "mode": "scenes",
  "sceneSensitivity": "high",
  "intervalSeconds": 10,
  "frameCount": 12,
  "maxFramesPerVideo": 50,
  "skipBlurry": true,
  "skipDuplicates": true,
  "extractText": true,
  "contactSheet": true,
  "imageFormat": "jpg",
  "maxWidth": 1280,
  "quality": 85,
  "minSceneSeconds": 1,
  "maxVideoMinutes": 120,
  "maxVideoMB": 1500,
  "maxVideos": 100
}
```

## Output

```json
{
  "imageUrl": {
    "label": "Frame",
    "format": "image"
  },
  "timecode": {
    "label": "Time",
    "format": "text"
  },
  "sceneIndex": {
    "label": "Scene",
    "format": "number"
  },
  "sharpnessScore": {
    "label": "Sharpness",
    "format": "number"
  },
  "videoUrl": {
    "label": "Video",
    "format": "link"
  },
  "width": {
    "label": "Width",
    "format": "number"
  },
  "height": {
    "label": "Height",
    "format": "number"
  },
  "text": {
    "label": "On-screen text",
    "format": "text"
  },
  "contactSheetUrl": {
    "label": "Contact sheet",
    "format": "link"
  },
  "error": {
    "label": "Error",
    "format": "text"
  }
}
```

## How it works

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

The Smart Video Keyframes: Best Frame per Scene for AI Actor is ready to run with the inputs already set for "Turn a conference talk into one frame per slide". [Sign up or log in](https://console.apify.com/create-task-from-example/bj99oEcUQDE6zfWMT) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Turn a conference talk into one frame per slide" task

The Smart Video Keyframes: Best Frame per Scene for AI Actor will start running based on the input automatically. You can also change all the input fields, like video urls, URL field in dataset, and more, to match your specific use case.

### 3. Receive the "Turn a conference talk into one frame per slide" 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, time, scene, 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 "Turn a conference talk into one frame per slide" task via API](https://apify.com/nookforgestudio/video-keyframe-extractor.md).

## About this Actor

This example demonstrates how to use [Smart Video Keyframes: Best Frame per Scene for AI](https://apify.com/nookforgestudio/video-keyframe-extractor.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/nookforgestudio/video-keyframe-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/nookforgestudio/video-keyframe-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`).