Data Extraction with Intelligent Document Processing

Organizations handling large volumes of unstructured data, such as invoices, contracts, and identification documents, often struggle with manual data extraction. Traditional methods are slow, error-prone, and resource-intensive. Data Extraction with Intelligent Document Processing (IDP) automates this process, efficiently extracting crucial information and converting it into a structured format. This AI-driven approach enhances speed, accuracy, and overall operational efficiency.

How its work

When a user submits a document through the web application, Azure Document Intelligence extracts the relevant content. This extracted data is then processed and structured using Large Language Models (LLM), ensuring an organized and methodical response based on the document type and content.

Introducing

Use Case

Invoice Processing – Extract vendor details, invoice numbers, and amounts for automated bookkeeping.

Contracts & Legal Documents – Identify key clauses, parties involved, and contract terms.

Identity Verification – Extract details from passports, driver’s licenses, and ID cards.

Banking & Financial Documents – Automate data extraction from loan applications, credit reports, and statements.

Healthcare & Insurance Claims – Process patient records, medical forms, and policy documents efficiently.

Benefits

85% Reduction in Manual Effort – AI automates data extraction, eliminating tedious manual work.
5x Faster Processing Speed – Process large volumes of documents instantly.
95%+ Data Extraction Accuracy – Ensure precise and reliable data retrieval.
70% Cost Savings – Reduce operational costs by minimizing manual data processing.
1000+ Documents Processed Per Minute – Scalable automation for high-volume document handling.

Components

Azure Function – Serverless execution of the document processing workflow.
Azure Document Intelligence API – Extracts structured data, including text, key-value pairs, tables, and checkmark fields.
Language Model (LLM) – Summarizes extracted data and presents key insights.
Blob Storage (Optional) – Stores raw documents before processing.
Event Trigger (HTTP Trigger or Blob Storage Trigger) – Initiates processing when a document is uploaded.
Structured Data Output (JSON) – Presents extracted data in a machine-readable format for integration with other applications.

Guide Tour

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This demo shows how Intelligent Document Processing with AI is a revolutionary solution for organizations that struggle with manual document processing. This AI model automatically extracts crucial data points in seconds.

This model uses AI and decision rules defined by the user to classify documents and extract data accurately and reliably. It can extract data from images, documents, tables, and specialized documents and enhance the convenience of the users.