# Let an AI Agent Watch a Video - Frames + Transcript via API

**Use case:** 

Give an AI agent (MCP, n8n AI Agent, LangChain, custom GPT) eyes and ears for a video: scene keyframes, a labelled grid image and the spoken words per scene in one JSON row it can read. No LLM key needed - your own model reads the result.

## Input

```json
{
  "videoUrls": [
    "https://api.apify.com/v2/key-value-stores/aXcXwfChlioPWAUJv/records/sample-vertical-talk.mp4?signature=105QVevs72w3z5gMQzgIJ"
  ],
  "maxKeyframes": 8,
  "transcribe": true,
  "language": "auto",
  "sceneThreshold": "0.3",
  "minSceneSeconds": 2,
  "maxSceneSeconds": 60,
  "gridImage": true,
  "includeImageUrlsInContext": true,
  "keyframeMaxWidth": 1024,
  "imageFormat": "jpg",
  "imageQuality": 85,
  "skipBlankFrames": true,
  "maxDurationMinutes": 120,
  "maxVideoSizeMb": 1000,
  "downloadTimeoutSecs": 600
}
```

## Output

```json
{
  "gridImageUrl": {
    "label": "Keyframe grid",
    "format": "image"
  },
  "fileName": {
    "label": "File",
    "format": "text"
  },
  "status": {
    "label": "Status",
    "format": "text"
  },
  "durationSeconds": {
    "label": "Duration (s)",
    "format": "number"
  },
  "width": {
    "label": "Width",
    "format": "number"
  },
  "height": {
    "label": "Height",
    "format": "number"
  },
  "fps": {
    "label": "FPS",
    "format": "number"
  },
  "hasAudio": {
    "label": "Audio",
    "format": "boolean"
  },
  "sceneCount": {
    "label": "Scenes",
    "format": "number"
  },
  "keyframeCount": {
    "label": "Keyframes",
    "format": "number"
  },
  "transcriptLanguage": {
    "label": "Language",
    "format": "text"
  },
  "billedKeyframes": {
    "label": "Billed keyframes",
    "format": "number"
  },
  "billedAudioMinutes": {
    "label": "Billed audio min",
    "format": "number"
  },
  "error": {
    "label": "Error",
    "format": "text"
  }
}
```

## How it works

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

The Video to LLM Context - Keyframes, Transcript & Scenes for AI Actor is ready to run with the inputs already set for "Let an AI Agent Watch a Video - Frames + Transcript via API". [Sign up or log in](https://console.apify.com/create-task-from-example/KCwtvaB4SqgJZvy5a) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Let an AI Agent Watch a Video - Frames + Transcript via API" task

The Video to LLM Context - Keyframes, Transcript & Scenes for AI Actor will start running based on the input automatically. You can also change all the input fields, like video file urls, max scenes / keyframes per video, and more, to match your specific use case.

### 3. Receive the "Let an AI Agent Watch a Video - Frames + Transcript via API" 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 keyframe grid, file, status, 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 "Let an AI Agent Watch a Video - Frames + Transcript via API" task via API](https://apify.com/kantolabs/video-to-llm-context.md).

## About this Actor

This example demonstrates how to use [Video to LLM Context - Keyframes, Transcript & Scenes for AI](https://apify.com/kantolabs/video-to-llm-context.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/kantolabs/video-to-llm-context.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/kantolabs/video-to-llm-context.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`).