# PDF Document OCR Parser (`deepaksheoran172/scanned-document-ocr`) Actor

- **URL**: https://apify.com/deepaksheoran172/scanned-document-ocr.md
- **Developed by:** [Deepak Sheoran](https://apify.com/deepaksheoran172) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$10.00 / 1,000 processed document ocr pages

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

<p align="center">
  <img src="https://raw.githubusercontent.com/deepakshe/apify-b2b-super-actors/main/assets/actor_icons/scanned-document-ocr.png" width="96" height="96" alt="Document OCR & Scanned Image Text Extractor Icon" style="border-radius: 20px; box-shadow: 0 8px 24px rgba(0,0,0,0.18);" />
</p>

<p align="center">
  <a href="https://apify.com/deepaksheoran172/scanned-document-ocr"><img src="https://img.shields.io/badge/Apify_Store-Active_PPE-blue?style=for-the-badge&logo=apify" alt="Apify Store" /></a>
  <a href="https://apify.com/deepaksheoran172/scanned-document-ocr"><img src="https://img.shields.io/badge/Launch_Discount-60%25_OFF-success?style=for-the-badge" alt="60% Launch Discount" /></a>
  <img src="https://img.shields.io/badge/Architecture-Zero--Proxy_Fast-informational?style=for-the-badge" alt="Zero-Proxy Fast" />
  <img src="https://img.shields.io/badge/QA_Validation-Verified_Pass-brightgreen?style=for-the-badge" alt="Verified QA Pass" />
</p>

## 📄 PDF & Scanned Document OCR Text Extractor

> High-throughput document text extraction service for digital and scanned PDFs.

***

### ⚡ What it Does

- **Digital PDF Text Extraction:** Parses embedded PDF fonts, word streams, and layout text when digital text is present (> 0 characters).
- **Scanned Document OCR:** Automatically renders PDF pages to images via `pypdfium2` and extracts text using local ONNX Runtime deep-learning OCR (`RapidOCR`).
- **Real OCR Confidence Scoring:** Computes true average recognition confidence scores per document rather than fixed arbitrary estimates.
- **SSRF & Size Protected:** Enforces destination IP validation against internal network ranges and enforces a 25 MB document download limit.

***

### 📥 Input Example

```json
{
  "documentUrls": [
    "https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf"
  ]
}
```

***

### 📤 Output Example (Dataset Item)

```json
{
  "document_url": "https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf",
  "extracted_text": "Dummy PDF file",
  "mode": "DIGITAL_PDF_TEXT",
  "confidence": 1.0,
  "char_count": 14,
  "word_count": 3,
  "status": "SUCCESS",
  "warning": "",
  "scraped_at": "2026-10-19T01:15:29.147917+00:00"
```

***

### 💰 Pricing & High-Agency Guarantee

| Plan / Tier | Rate | Details |
|---|---|---|
| **Pay-Per-Result (Active Launch Discount - 60% OFF)** | **$3.50 / 1,000 processed documents** ($0.0035 / doc) | Regular ~~$10.00 / 1k~~. Charged strictly on `SUCCESS` extractions. Scanned + digital fallback. |
| **Enterprise Document Subscription** | **$29.00 / month** | High-throughput batch invoice, receipt, and contract OCR pipeline. |
| **Failed / Blocked Documents** | **$0.00 (FREE)** | Zero charge if document is unreachable, corrupted, or blocked by SSRF guard. |

# Actor input Schema

## `documentUrls` (type: `array`):

Public URLs of PDF or image documents to extract text from.

## Actor input object example

```json
{
  "documentUrls": [
    "https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf"
  ]
}
```

# Actor output Schema

## `dataset` (type: `string`):

Extracted dataset items pushed to the default Dataset.

## `summary` (type: `string`):

Summary metadata and run statistics.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "documentUrls": [
        "https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("deepaksheoran172/scanned-document-ocr").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "documentUrls": ["https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf"] }

# Run the Actor and wait for it to finish
run = client.actor("deepaksheoran172/scanned-document-ocr").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "documentUrls": [
    "https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf"
  ]
}' |
apify call deepaksheoran172/scanned-document-ocr --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,deepaksheoran172/scanned-document-ocr"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/w9S8O4ed8koza0aW8/builds/BpdDRqR4V3T0ol7wS/openapi.json