# Screen Recording to Text - On-Screen Text from Tutorials

**Use case:** 

Turn a screen recording, software tutorial or demo video file into searchable text: every piece of on-screen text (menus, URLs, code, slide titles, error messages) with its time range and a frame image, plus one full text. Unchanged frames are skipped, so you only pay for frames where text was found.

## Input

```json
{
  "videoUrls": [
    "https://upload.wikimedia.org/wikipedia/commons/5/58/Namespaces.webm"
  ],
  "sampleIntervalSeconds": 2,
  "ocrLanguage": "en",
  "textRegion": "full",
  "minConfidence": 0.7,
  "minTextLength": 2,
  "maxFramesPerVideo": 600,
  "maxVideoMinutes": 120,
  "maxVideoSizeMb": 2000,
  "downloadTimeoutSecs": 600
}
```

## Output

```json
{
  "frameUrl": {
    "label": "Frame",
    "format": "image"
  },
  "text": {
    "label": "Text",
    "format": "text"
  },
  "timecode": {
    "label": "From",
    "format": "text"
  },
  "endTimecode": {
    "label": "To",
    "format": "text"
  },
  "durationSeconds": {
    "label": "Shown (s)",
    "format": "number"
  },
  "position": {
    "label": "Where",
    "format": "text"
  },
  "confidence": {
    "label": "Confidence",
    "format": "number"
  },
  "fileName": {
    "label": "Video",
    "format": "text"
  },
  "type": {
    "label": "Row",
    "format": "text"
  },
  "segmentCount": {
    "label": "Segments",
    "format": "number"
  },
  "error": {
    "label": "Error",
    "format": "text"
  }
}
```

## How it works

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

The Video OCR - Extract On-Screen Text from Video (Captions) Actor is ready to run with the inputs already set for "Screen Recording to Text - On-Screen Text from Tutorials". [Sign up or log in](https://console.apify.com/create-task-from-example/hv2l4DZZUcewGk2Db) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Screen Recording to Text - On-Screen Text from Tutorials" task

The Video OCR - Extract On-Screen Text from Video (Captions) Actor will start running based on the input automatically. You can also change all the input fields, like video urls, read a frame every (seconds), and more, to match your specific use case.

### 3. Receive the "Screen Recording to Text - On-Screen Text from Tutorials" 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, text, from, 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 "Screen Recording to Text - On-Screen Text from Tutorials" task via API](https://apify.com/kantolabs/video-ocr.md).

## About this Actor

This example demonstrates how to use [Video OCR - Extract On-Screen Text from Video (Captions)](https://apify.com/kantolabs/video-ocr.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/kantolabs/video-ocr.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-ocr.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`).