Scanned PDF OCR to Markdown

Convert scanned or image-heavy PDFs into Markdown with OpenDataLoader hybrid OCR, with a graceful fallback when the hybrid backend is unavailable

Use OpenDataLoader to turn scanned or image-heavy PDFs into Markdown. The tool prefers hybrid OCR when available, but can fall back to standard extraction so you still get a usable result and a clear metadata warning.

Example Results

1 examples

Convert an OCR text-layer PDF into reusable Markdown

Use the OCR-friendly pipeline to produce a Markdown file from a scanned-style PDF source. This repository sample uses the local extraction path so the output stays reproducible without a hybrid backend.

scanned-pdf-ocr-to-markdown-example1.md View File
View input parameters
{ "pdfFile": "/public/samples/pdf/pdf-ocr-text-layer-example1.pdf", "pages": "", "keepLineBreaks": true, "includePageSeparators": true, "hybridBackendUrl": "", "preferHybridOcr": false }

Click to upload file or drag and drop file here

Maximum file size: 10MB Supported formats: application/pdf

Key Facts

Category
AI & Generators
Input Types
file, text, checkbox
Output Type
file
Sample Coverage
4
API Ready
Yes

Overview

This tool converts scanned or image-heavy PDF documents into clean Markdown format using OpenDataLoader's hybrid OCR technology. It prioritizes high-accuracy hybrid processing while offering a reliable fallback to standard text extraction to ensure you always receive a usable document with clear metadata regarding the extraction method used.

When to Use

  • When you need to extract text from scanned paper documents or image-only PDF files for editing or archiving.
  • When converting complex PDF layouts into structured Markdown for documentation or LLM training data.
  • When you require a flexible OCR solution that can utilize a local hybrid backend or fall back to standard extraction if the backend is unavailable.

How It Works

  • Upload your scanned PDF file and optionally specify the specific page range to be processed.
  • The tool attempts to connect to the OpenDataLoader hybrid OCR backend for advanced image-to-text conversion.
  • If the hybrid backend is unavailable, it automatically switches to a standard extraction method to capture available text layers.
  • The final output is formatted as a Markdown file, preserving line breaks and page separators based on your selected preferences.

Use Cases

Digitizing printed research papers into Markdown for personal knowledge management systems like Obsidian or Notion.
Preparing scanned legal contracts for AI-assisted analysis by converting them into machine-readable text formats.
Converting archived image-based PDF reports into structured data for documentation repositories and searchable databases.

Examples

1. Digitizing Historical Archives

Archivist
Background
An archivist has a collection of scanned 1950s reports that exist only as image-based PDFs without a text layer.
Problem
The text is not searchable or editable, making it difficult to index the historical data for a digital library.
How to Use
Upload the scanned PDF, enable 'Prefer Hybrid OCR', and set 'Include Page Separators' to keep the original page references.
Outcome
A structured Markdown file where the historical text is fully searchable and formatted for digital preservation.

2. Extracting Text from Scanned Invoices

Data Analyst
Background
A data analyst receives monthly invoices as scanned PDFs and needs to extract the line items into a text-based format for auditing.
Problem
Manual data entry is error-prone and slow for high volumes of documents.
How to Use
Upload the invoice PDF, specify the relevant pages, and toggle 'Keep Line Breaks' to maintain the visual alignment of the text.
Outcome
A Markdown document that accurately reflects the invoice text, ready for further data processing or LLM parsing.

Try with Samples

markdown, pdf, image

Related Hubs

FAQ

What happens if the hybrid OCR backend is offline?

The tool automatically falls back to standard text extraction and includes a warning in the metadata to inform you of the fallback.

Can I process only specific pages of a long PDF?

Yes, you can define specific pages or ranges, such as '1, 3, 5-10', in the Pages input field.

Does this tool support password-protected PDFs?

No, you must provide an unencrypted PDF file for the OCR process to function correctly.

Will the Markdown output include images from the PDF?

No, the tool focuses on converting text content and layout structure into Markdown text format.

Why should I keep line breaks in the output?

Keeping line breaks helps maintain the original visual structure of the document, which is useful for technical manuals or poetry.

API Documentation

Request Endpoint

POST /en/api/tools/scanned-pdf-ocr-to-markdown

Request Parameters

Parameter Name Type Required Description
pdfFile file (Upload required) Yes -
pages text No -
keepLineBreaks checkbox No -
includePageSeparators checkbox No -
hybridBackendUrl text No -
preferHybridOcr checkbox No -

File type parameters need to be uploaded first via POST /upload/scanned-pdf-ocr-to-markdown to get filePath, then pass filePath to the corresponding file field.

Response Format

{
  "filePath": "/public/processing/randomid.ext",
  "fileName": "output.ext",
  "contentType": "application/octet-stream",
  "size": 1024,
  "metadata": {
    "key": "value"
  },
  "error": "Error message (optional)",
  "message": "Notification message (optional)"
}
File: File

AI MCP Documentation

Add this tool to your MCP server configuration:

{
  "mcpServers": {
    "elysiatools-scanned-pdf-ocr-to-markdown": {
      "name": "scanned-pdf-ocr-to-markdown",
      "description": "Convert scanned or image-heavy PDFs into Markdown with OpenDataLoader hybrid OCR, with a graceful fallback when the hybrid backend is unavailable",
      "baseUrl": "https://elysiatools.com/mcp/sse?toolId=scanned-pdf-ocr-to-markdown",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

You can chain multiple tools, e.g.: `https://elysiatools.com/mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp`, max 20 tools.

Supports URL file links or Base64 encoding for file parameters.

If you encounter any issues, please contact us at [email protected]