How to Convert PDF to EDIFACT for EDI Integration Without Manual Entry

In many organizations, critical business documents such as invoices, purchase orders, and shipping notices still arrive in PDF format. While PDFs are easy for humans to read, they are not suitable for automated processing in Electronic Data Interchange (EDI) systems especially when using standards like EDIFACT. Manually re-entering this data is inefficient, error-prone, and not scalable. 

This blog explains how to convert PDF documents into EDIFACT format without manual entry, enabling seamless EDI integration. 

Understanding the Challenge: PDF vs. EDIFACT

PDFs are unstructured or semi-structured documents designed for visual presentation. In contrast, EDIFACT is a structured, standardized format used for machine-to-machine communication. 

The key challenges include: 

• Extracting data from inconsistent PDF layouts  

• Mapping extracted data to EDIFACT segments  

• Ensuring accuracy and compliance with trading partner requirements  

Without automation, this process becomes a bottleneck in digital transformation. 

Why Manual Data Entry is Not Sustainable

Manual entry may work at very low volumes, but it quickly becomes problematic as businesses scale. 

Common issues include: 

• High labor costs  

• Increased risk of human errors  

• Delayed processing times  

• Lack of real-time visibility  

For companies dealing with multiple trading partners and high document volumes, automation is no longer optional. 

Extract Data from PDF Using Intelligent Document Processing (IDP)

The first step is to extract relevant data from the PDF. This is done using Intelligent Document Processing (IDP), which combines OCR (Optical Character Recognition) with AI/ML models. 

Key capabilities: 

• Reading both scanned and digital PDFs  

• Identifying fields like invoice number, date, line items, totals  

• Handling multiple layouts and formats  

Modern IDP solutions learn from document variations, improving accuracy over time. 

Validate and Structure the Extracted Data 

Once data is extracted, it must be validated and structured before conversion. 

This includes: 

• Data validation (e.g., correct formats, mandatory fields)  

• Business rule checks (e.g., totals match line items)  

• Standardization (e.g., date formats, currency codes)  

This step ensures that only clean, reliable data moves forward into EDI transformation. 

Map Data to EDIFACT Format

After structuring the data, the next step is mapping it to EDIFACT segments. 

For example: 

• Invoice number → BGM segment  

• Dates → DTM segment  

• Line items → LIN, QTY, PRI segments  

This requires: 

• Knowledge of EDIFACT message types (e.g., INVOIC, ORDERS)  

• Trading partner-specific mapping rules  

• Compliance with standards like UN/EDIFACT  

A robust mapping engine simplifies this process significantly. 

Automate Integration with Your ERP or EDI System

The final step is integrating the generated EDIFACT file into your ERP or EDI system. 

This typically involves: 

• API or middleware (iPaaS) integration  

• Automated file transmission via AS2, SFTP, or Peppol  

• Real-time or scheduled processing workflows  

Once set up, the entire pipeline—from PDF to EDIFACT—runs without manual intervention. 

How HubBroker Simplifies PDF to EDIFACT Conversion 

At HubBroker, we specialize in eliminating manual data entry by automating the entire document transformation process. 

Our solution combines: 

• Intelligent Document Processing (IDP) to extract data from PDFs  

• Advanced EDI mapping for seamless EDIFACT conversion  

• iPaaS integration to connect with systems like Microsoft Dynamics 365 Business Central  

• Peppol-compliant infrastructure for secure and standardized data exchange  

As a certified Peppol Access Point provider, HubBroker enables businesses to handle complex EDI requirements while ensuring compliance across global standards. 

Whether you’re dealing with invoices, orders, or logistics documents, HubBroker helps you move from manual processes to fully automated, scalable EDI workflows.