Invoice Processing (Use Case)
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This article is about the current version of Grooper. Note that some content may still need to be updated. |
| 2025 |
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You may download the ZIP files below for use in your own Grooper environment (version 2025). These are Project ZIP files.
This is a Batch with example email scenarios: This is a normal ZIP file containing multiple image based invoice examples: |
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.
Setup for AI Extract
Setup for Azure DI OCR
Final setup
Considering emails and scanning