Extracting invoice data from PDF documents manually is really exhausting and a hassle especially when it involves detecting borderless tables. We’ll, PDF.co Document Parser Template Editor is here to simplify your invoice processing workflow and make it more efficient.
PDF.co Document Parser Template Editor is a tool that allows you to create and customize templates for extracting data from PDF documents. The Template Editor provides a user-friendly interface for designing templates according to your specific requirements, making it easier to process invoices and other documents in an automated and efficient manner.
In this step-by-step tutorial, we will guide you through the process of parsing invoice data and automatically detecting borderless tables using the PDF.co Document Parser Template Editor. We will utilize a template code that enables the extraction of invoice data and borderless tables from PDF documents.
- Log in to PDF.co Account
- Create New Template
- Load Test PDF or Image
- Edit Raw Template
- Selected Object Properties
- Run Template
- Output
- Demo
We will use this sample PDF invoice to utilize the PDF.co Document Parser Template Editor to auto-detect and extract data from the table without borders using template code.

Step 1: Log in to PDF.co Account
- Let’s start by logging into your PDF.co account and clicking the Extract menu. Then select the Document Parser Templates option.
Step 2: Create New Template
- On your Document Parser Templates page, click on the Create New Template button.
Step 3: Load Test PDF or Image
- Now, let’s load the source file by clicking on the Load Test PDF or Image button.
Step 4: Edit Raw Template
- After loading the source file, click on the Edit Raw Template button.
- Next, add the template code to parse the invoice data and auto-detect the borderless table. You can get the template code at this link.
- Then, click on the Update button to save the template code.
Step 5: Selected Object Properties
- After adding the template code and updating the Edit Raw Template, it will return the object properties with parsed invoice and extracted borderless table data such as the company name, invoice number, date, total due, and table items.
Step 6: Run Template
- Now, let’s run the template to parse the invoice and auto-detect the borderless table.
Step 7: Output
- Here’s the parsed invoice and the extracted borderless table data using the template code with PDF.co Document Parser Template Editor. Once you are satisfied with the output, click on the Save Template and Return buttons to save the template for further use.
Step 8: Demo
- Here’s the demo to parse invoice data and auto-detect borderless tables using the template code with PDF.co Document Parser Template Editor.

This tutorial taught you how to parse invoice data and auto-detect borderless tables using the template code with PDF.co Document Parser Template Editor. You learn about common challenges in invoice table extraction and how to overcome them. You also gain insights on how to optimize template creation and data extraction for maximum efficiency and accuracy.