Invoice Processing (Use Case)

This article is about the current version of Grooper. Note that some content may still need to be updated.

2025

You may download the ZIP files below for use in your own Grooper environment (version 2025). These are Project ZIP files. 2025 Project – AI Invoice Processing (Scanned) 2025 Project – AI Invoice Processing (File Import) 2025 Project – AI Invoice Processing (Emailed) This is a Batch with example email scenarios: 2025 Batch – Example Email Scenarios This is a normal ZIP file containing multiple image based invoice examples: Sample Invoices – Image-Based PDFs

Introduction

Invoice Processing showcases how Grooper can automate the capture, understanding, validation, and organization of invoice documents using a combination of DI OCR, data extraction, review workflows, and AI-enabled capabilities. This article demonstrates a realistic business use case that reflects how organizations process accounts payable documents in production environments.

The intention of this article is to move beyond isolated feature demonstrations and show how Grooper’s technologies work together as part of a complete invoice processing solution. Rather than focusing on a single Activity or configuration object, this guide illustrates how invoices move through a coordinated workflow—from document ingestion and recognition to structured data extraction, validation, review, and downstream use.

This use case highlights several core Grooper concepts, AI Extract, Azure DI OCR, and more. This is a one-size-fits-all approach to invoice processing.

By the end of this guide, readers will have a foundational understanding of how Grooper can be used to build an end-to-end invoice processing solution and how the platform’s modular architecture supports scalable, production-ready document automation workflows.

For More Information

• AI Extract
• Activity Processing
• Azure DI OCR
• Batch
• Batch Folder
• Batch Page
• Batch Process
• Batch Process Step
• Behaviors
• Content Model
• Data Model
• Extract
• Fill Method
• Import Watcher
• LLM Connector
• Machine
• Node Tree
• OCR Profile
• Project
• Recognize
• Repository
• Review
• Root
• Split Pages