In this tutorial, we will show you how to split PDF by text using PDF.co and Zapier. Our source PDF contains 3 different invoices which we will split into 3 separate documents. You can get a copy of it here.

  1. Add PDF Splitter by Text Action
  2. Setup Action
  3. Test Action
  4. Test Result
  5. Split PDFs
Source PDF File
Source PDF File

Step 1 – Add PDF Splitter by Text Action

First, let’s choose PDF.co as the App and the PDF Splitter by Text as the Action Event.

Add PDF.co PDF Splitter By Text Module

Step 2 – Setup Action

Next, let’s configure the PDF Splitter by Text action.

  • In the PDF URL field, enter the source file link. To follow along, you can use the URL here.
  • In the Text To Search field, type in the invoice number. Every time the engine finds this text it will split the page from the rest of the document.
  • In the Case Sensitive field, select False. We want the engine to find the text no matter what case it uses.
  • In the Use Regular Expressions field, also select False. We want it to find the exact text and not just a text pattern.
  • In the Exclude Pages With Found Text field, select False. We want to split the pages that contain the text.
  • In the OCR Language field, you can leave the default English value if you are working with PDF documents written in the English language.

Setup PDF Splitter By Text

Step 3 – Test Action

Then, let’s test the action by sending it to PDF.co.

Test PDF Splitter By Text

Step 4 – Test Result

Great! Our test was done successfully and PDF.co returned 3 temporary URLs of the split pages. You use the URLs to view the invoices.

PDF.co Split Pages Result

Step 5 – Split PDFs

Here’s the image of the PDF invoices that are split by text. Each of the pages contains the text invoice number.

PDF.co Split PDF By Text Output
PDF.co Split PDF By Text Output

In this tutorial, you learned how to split PDF by text using PDF.co and Zapier. You learned how to set up the PDF Splitter by Text action to only split pages that contain a specific text. You also learned about the OCR functionality and how to use it for English and non-English documents.

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