# Image to text: OCR a PNG, JPEG or TIFF

**Use case:** 

Extract the text from an image with OCR and get it as plain text with a confidence score. Works with PNG, JPEG, TIFF (also multi-page), WebP, GIF and BMP. The example reads a public Tesseract test image; replace it with links to your images.

## Input

```json
{
  "urls": [
    {
      "url": "https://raw.githubusercontent.com/tesseract-ocr/test/main/testing/phototest.tif"
    }
  ],
  "languages": [
    "eng"
  ],
  "outputFormat": "text",
  "searchablePdf": false,
  "includeWords": false,
  "autoRotate": true,
  "ocrAllPages": false,
  "maxPagesPerDocument": 0,
  "chunkSize": 2000,
  "chunkOverlap": 200
}
```

## Output

```json
{
  "fileName": {
    "label": "File",
    "format": "string"
  },
  "fileType": {
    "label": "Type",
    "format": "string"
  },
  "pageCount": {
    "label": "Pages",
    "format": "integer"
  },
  "pagesOcr": {
    "label": "OCR pages",
    "format": "integer"
  },
  "pagesTextLayer": {
    "label": "Text-layer pages",
    "format": "integer"
  },
  "meanConfidence": {
    "label": "Confidence",
    "format": "number"
  },
  "charCount": {
    "label": "Characters",
    "format": "integer"
  },
  "chunkIndex": {
    "label": "Chunk",
    "format": "integer"
  },
  "pageStart": {
    "label": "From page",
    "format": "integer"
  },
  "pageEnd": {
    "label": "To page",
    "format": "integer"
  },
  "searchablePdfUrl": {
    "label": "Searchable PDF",
    "format": "string"
  },
  "error": {
    "label": "Error",
    "format": "string"
  },
  "url": {
    "label": "URL",
    "format": "string"
  }
}
```

## How it works

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

The PDF OCR: Scanned PDF & Image to Text, Searchable PDF Actor is ready to run with the inputs already set for "Image to text: OCR a PNG, JPEG or TIFF". [Sign up or log in](https://console.apify.com/create-task-from-example/549j8G3lUINiaf1cv) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Image to text: OCR a PNG, JPEG or TIFF" task

The PDF OCR: Scanned PDF & Image to Text, Searchable PDF Actor will start running based on the input automatically. You can also change all the input fields, like image or pdf urls, languages, and more, to match your specific use case.

### 3. Receive the "Image to text: OCR a PNG, JPEG or TIFF" 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 file, type, pages, 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 "Image to text: OCR a PNG, JPEG or TIFF" task via API](https://apify.com/tamatama/image-pdf-ocr.md).

## About this Actor

This example demonstrates how to use [PDF OCR: Scanned PDF & Image to Text, Searchable PDF](https://apify.com/tamatama/image-pdf-ocr.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/tamatama/image-pdf-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/tamatama/image-pdf-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`).