# Scanned PDFs to text at 300 dpi

**Use case:** 

Renders every page of a scanned PDF at 300 dpi for small print and recognises it, up to 50 pages per document, with per-page text so a page can be cited. Born-digital pages are copied from their text layer at the low rate. Point it at your own list of scanned contracts, letters or delivery notes.

## Input

```json
{
  "fileUrl": "",
  "fileFormat": "auto",
  "fileUrls": [
    "https://nerolabs-samples.nerolabs.workers.dev/sample-scanned-letter.pdf",
    "https://www.irs.gov/pub/irs-pdf/fw9.pdf"
  ],
  "languages": [
    "eng"
  ],
  "usePdfTextLayer": true,
  "dpi": 300,
  "pageSegmentation": "auto",
  "maxPagesPerFile": 50,
  "minWordConfidence": 0,
  "includePageText": true,
  "keep": "all",
  "keepOriginalFields": true,
  "concurrency": 2,
  "requestTimeoutSecs": 60,
  "maxFileMb": 25,
  "exportFormats": []
}
```

## Output

```json
{
  "sourceUrl": {
    "label": "File",
    "format": "link"
  },
  "ocrStatus": {
    "label": "Status",
    "format": "text"
  },
  "fileType": {
    "label": "Type",
    "format": "text"
  },
  "pageCount": {
    "label": "Pages",
    "format": "number"
  },
  "ocrPages": {
    "label": "OCR pages",
    "format": "number"
  },
  "textLayerPages": {
    "label": "Text-layer pages",
    "format": "number"
  },
  "wordCount": {
    "label": "Words",
    "format": "number"
  },
  "confidence": {
    "label": "Confidence",
    "format": "number"
  },
  "lowConfidence": {
    "label": "Low confidence",
    "format": "boolean"
  },
  "text": {
    "label": "Text",
    "format": "text"
  },
  "statusDetail": {
    "label": "Detail",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [Bulk OCR: Image & Scanned PDF to Text from CSV or Google Sheet](https://apify.com/nerolabs/bulk-ocr-image-pdf-to-text.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/nerolabs/bulk-ocr-image-pdf-to-text.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/nerolabs/bulk-ocr-image-pdf-to-text.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).