PDF Editing Issues

How to Remove PDF Tags and Extract Invoice Data

Algirdas JasaitisAlgirdas Jasaitis Nov 3, 2026 869 views

Question details

The user needs to remove accessibility structure tags from a PDF invoice to prepare the document information for data extraction and export to a database.

How to Remove PDF Tags and Extract Invoice Data
Product
PDF Editor
Device & OS
not provided
Scenario
Editing a tagged PDF invoice to clear its structural tags and facilitate data extraction for a database system.
Observed behavior
The user is seeking the correct workflow to remove existing document tags and successfully extract the invoice data without formatting issues.
Before you start

Before modifying the document structure, create a backup copy of your original PDF invoice to ensure you do not lose any critical data during the tag removal process.

Solution 1Recommended

Use Adobe Acrobat Pro to Edit or Remove Tags

Utilize the built-in Tags and Content panels in Adobe Acrobat Pro to manually delete document structure tags and prepare for data extraction.

Adobe Acrobat Pro provides dedicated navigation panels that allow users to view, edit, and delete the accessibility tags that define a document's structure. Note that removing tags may affect the document's accessibility for screen readers.

1
Open the Tags panel

Open your invoice in Adobe Acrobat Pro. Go to View > Show/Hide > Navigation Panes and select 'Tags' to open the Tags panel.

2
Delete the PDF tags

In the Tags panel, locate the tag structure tree. Right-click the root tag or specific tags you want to remove, and select 'Delete Tag' from the context menu.

3
Extract the invoice data

Once the tags are removed, go to the 'Tools' menu and select 'Export PDF'. Choose your desired output format (such as Spreadsheet) to extract the data for your database.

Use Adobe Acrobat Pro to Edit or Remove Tags
Data Extraction Limitations: Acrobat does not automatically export arbitrary tagged invoice data directly to every database. You must use the appropriate export, form, or data-extraction workflow after adjusting the document structure.
Extract Data Seamlessly

Easily Extract Invoice Data with WPS PDF

Skip the complicated tag removal process. WPS Office provides robust PDF conversion tools that allow you to easily convert tagged PDF invoices into editable Excel spreadsheets, making data extraction for your database fast and straightforward.

  1. 1. Open the PDF in WPS Office: Launch WPS Office and open your PDF invoice using the WPS PDF editor.
  2. 2. Select PDF to Excel: Navigate to the 'Tools' tab on the top ribbon and click on the 'PDF to Excel' feature.
  3. 3. Convert and extract data: Adjust the conversion settings, choose your output destination, and click 'Convert'. Your invoice data will be extracted into an organized spreadsheet, ready for database importing.
Accurate PDF to Excel conversion for seamless invoice data extraction.Maintains high compatibility with standard PDF and Microsoft Excel formats.User-friendly interface requiring no complex document structure editing.Lightweight and fast performance for everyday office tasks.
microsoft office alternative - wps office

Frequently Asked Questions

Why do PDF invoices contain document tags?

Tags in PDFs are primarily used to provide a logical structure for accessibility purposes. They define the reading order and document elements (like tables and paragraphs) for screen readers, though they can sometimes complicate simple data extraction processes.

Do I have to remove PDF tags to extract tabular data?

Not necessarily. Advanced PDF tools, such as the PDF to Excel converter in WPS Office, can intelligently recognize and extract tabular data from an invoice regardless of the underlying accessibility tags.

How can I automate invoice data extraction for my database?

To fully automate extraction to a database, you typically need dedicated OCR (Optical Character Recognition) software or custom API scripts that can parse specific field coordinates or text patterns from the PDF and map them directly to your database fields.