Introduction to UiPath Intelligent Extraction Processing (IXP)

⏱ 30 minutes 📖 Theory 🎯 Beginner

🎯 Learning objectives

  • Explain what UiPath IXP is and where it fits in the UiPath platform
  • Identify the three capabilities within IXP: Communications Mining, Generative Extraction, and Document Understanding
  • Describe the different document types IXP can process
  • Identify which IXP capability to use for a given use case
  • Get an overview of IXP demos and key features

What is UiPath IXP?

UiPath Intelligent Extraction Processing (IXP) is UiPath's unified intelligent document processing (IDP) platform. It enables organizations to extract, classify, and process data from virtually any type of document at enterprise scale — using a combination of traditional ML, specialized AI, and generative AI.

Category
Intelligent Document Processing (IDP)
Product
UiPath IXP
Multi-modal data classification and extraction that unlocks enterprise data at speed and scale
Product capabilities Communications Mining Generative extraction for unstructured & complex documents Document Understanding*
Description Extract key intent, sentiment and context data from messages and communications. Extract relevant data from high complexity, varied structured documents. Extract relevant data from structured and semi-structured documents.
Example documents Emails, workflow tickets, and messages etc. Reports, contracts, and lease agreements etc. Forms, purchase orders, applications, and invoices etc.
*Available as a standalone capability in Automation Cloud, Automation Suite & Standalone deployment

IXP capabilities deep dive

Communications Mining (CM)

DescriptionCommunications Mining extracts key intent, sentiment, and context data from messages and communications. Best suited for high-volume email and ticket processing (50k+ messages for best UX & ROI).
Key features
  • Annotation & Validation UI with confidence scores
  • Retraining for continuous improvement
  • Analytics and insights dashboards

Choosing the Right IXP Capability

Understanding which IXP capability to use for your use case is critical for success. Here is a decision guide:

Use CaseRecommended CapabilityWhy
Invoice processingDU – Out-of-the-box ML ExtractorPre-trained, no setup needed
Tax forms (1040, W2)DU – Form ExtractorFixed layout, rule-based
Custom semi-structured docsDU – Modern Project (Active Learning)Custom ML with fast training
Contracts / Lease agreementsIXP Complex DocsComplex tables, free-form, varying layouts
Insurance policies <150 pagesIXP Complex DocsComplex & unstructured
Reports / Contracts >150 pagesDU Generative Extraction (RAG)Built-in RAG for long docs
Email classification & intentCommunications MiningOptimized for high-volume comms
Legacy/structured, high volumeDU Classic (Workflow)Low AI tolerance, rule-based control
📌 Note
IXP is the umbrella: When someone says "IXP," they are referring to the full platform. Document Understanding and Communications Mining are components within IXP. In day-to-day usage, "IXP for complex documents" usually refers to the generative extraction capability for unstructured docs.

📝 Recap

  • UiPath IXP is the unified intelligent document processing platform that brings together three capabilities under one product.
  • Communications Mining extracts intent, sentiment, and context from emails and messages, best suited to high-volume comms.
  • Generative extraction for unstructured & complex documents uses generative AI for high-complexity, varied-layout files up to 150 pages (contracts, reports, lease agreements).
  • Document Understanding handles structured & semi-structured documents (forms, invoices, purchase orders).
  • Choosing the right capability depends on document structure, complexity, page count, and volume.

✅ Knowledge check

1. A company wants one product suite that can pull fields from invoices, gauge sentiment on support tickets, and extract key terms from lengthy lease agreements — all within the same platform. Which UiPath offering fits this need?

2. An insurance team needs to pull data from policy documents that don't follow any fixed template — table layouts shift from file to file and much of the content is free-flowing narrative rather than fielded data. Each document runs about 50 pages. Which capability best fits this scenario?

3. Which IXP capability is best suited for processing thousands of customer support emails to extract intent and sentiment?