# Extract text from a public safety sign image

**Use case:** 

Turn one public safety-sign PNG into structured text blocks with image dimensions, OCR confidence, and source provenance.

## Input

```json
{
  "startUrls": [
    {
      "url": "https://dummyimage.com/900x250/ffffff/000000.png&text=Safety+Inspection+Passed"
    }
  ],
  "inlineImages": [],
  "language": "eng",
  "includeWords": true,
  "maxImages": 1
}
```

## Output

```json
{
  "imageIndex": {
    "label": "#",
    "format": "integer"
  },
  "imageName": {
    "label": "Image",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "text": {
    "label": "Text",
    "format": "string"
  },
  "confidence": {
    "label": "Confidence",
    "format": "number"
  },
  "blockCount": {
    "label": "Blocks",
    "format": "integer"
  },
  "language": {
    "label": "Language",
    "format": "string"
  },
  "sourceUrl": {
    "label": "Source",
    "format": "string"
  },
  "processedAt": {
    "label": "Processed at",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Batch Image Text OCR Extractor](https://apify.com/automation-lab/batch-image-text-ocr.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/automation-lab/batch-image-text-ocr.md) to learn more, explore other use cases, and run it yourself.


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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/automation-lab/batch-image-text-ocr.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).