Extract PDF Data to Excel: Best Methods & Practices

How to Extract Data from PDF to Excel: Methods and Best Practices

Learn how to convert PDF data to Excel efficiently with manual, built-in tools, Adobe Acrobat, or automated solutions. Discover best practices for accuracy.

 min. read
March 25, 2025
Extract PDF Data to Excel: Best Methods & Practices

PDF files are great for sharing information, but they're not ideal for data analysis or manipulation. Converting PDF data to Excel allows you to easily edit, calculate, and analyze the information.

Whether you're dealing with financial reports, invoices, or research data, extracting PDF content into Excel spreadsheets can save time and improve workflow efficiency.

Manual Copy and Paste Method

The simplest way to move data from PDF to Excel is by manually copying and pasting. This works well for small amounts of data or when dealing with just a few PDF files.

However, it becomes time-consuming and error-prone when handling large volumes of documents.

Using Excel's Built-in PDF Import Feature

For Microsoft 365 subscribers, Excel offers a built-in PDF import feature:

Microsoft Excel logo on a green gradient background.
Excel simplifies workflows with PDF import for subscribers.
  1. Open Excel and go to Data > Get Data > From File > From PDF
  2. Select your PDF file and click Import
  3. Choose the tables you want to extract in the Navigator pane
  4. Click Load to import the data into your spreadsheet

This method works best with well-formatted PDFs containing simple tables and text. Complex layouts or scanned documents may not convert accurately.

WPS Office interface showing PDF conversion options.
Converting PDFs: simplicity meets functionality.

Leveraging Adobe Acrobat for Conversion

Adobe Acrobat Pro DC provides a more robust PDF to Excel conversion option:

  1. Open your PDF in Acrobat
  2. Click on the Export PDF tool
  3. Choose Microsoft Excel as the export format
  4. Click Export and save your new Excel file

Acrobat's OCR technology can handle scanned documents better than Excel's built-in tool, making it a good choice for more complex PDFs.

Adobe Acrobat's OCR tool processing a scanned invoice.
Acrobat excels in handling complex scanned documents.

Automated Solutions for High-Volume Conversion

For businesses dealing with large numbers of PDFs, automated solutions like Nanonets or Docparser offer significant advantages:

  • Process hundreds of PDFs simultaneously
  • Extract data from complex layouts and scanned documents
  • Define custom extraction rules for specific data fields
  • Integrate with existing workflows and cloud storage services

These AI-powered tools can learn from corrections, improving accuracy over time and reducing manual intervention.

Digital human figure with network nodes and magnifying glass.
AI tools evolve by learning corrections, boosting accuracy.

Best Practices for PDF to Excel Conversion

To ensure the most accurate data extraction:

  1. Use native PDFs when possible, as they convert more reliably than scanned documents
  2. Standardize your PDF formats to improve consistency in extraction
  3. Verify extracted data, especially when dealing with financial or critical information
  4. Consider using OCR technology for scanned or image-based PDFs
  5. Test different conversion methods on a sample of your documents to determine the best approach for your specific needs

Choosing the Right Method for Your Needs

The best PDF to Excel conversion method depends on your specific requirements:

  • For occasional, simple conversions: Use Excel's built-in import feature or manual copy-paste
  • For regular conversions of well-formatted PDFs: Adobe Acrobat or similar desktop software
  • For high-volume or complex document processing: Automated solutions like Nanonets or Docparser

By selecting the appropriate method and following best practices, you can efficiently extract data from PDFs to Excel, streamlining your data management processes and unlocking the full potential of your information.

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