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Automated Data Extraction with Intelligent Document Processing

This AI based data extraction allow users to upload document for automatic identification. By utilizing AI based Document Intelligence , it extracts essential details from document and applies AI-driven analysis to determine their type. This system is specifically designed to extract details from a document(Such as driving licence, bills , loan document etc). The automated classification process enhances efficiency, reducing manual effort in extracting details.

Introducing

Use Case

Invoice Processing – Extract key details such as invoice number, vendor name, total amount, and due date.

Contract Analysis – Identify contract parties, key clauses, expiry dates, and obligations.

Healthcare Forms Processing – Extract patient details, diagnoses, and prescribed treatments from medical records.

Banking & Financial Documents – Extract transaction details, account information, and loan-related fields.

Legal Document Review – Summarize case details, parties involved, and key legal terms from contracts and agreements.

HR & Employee Onboarding Documents – Automate data extraction from resumes, offer letters, and onboarding forms.

Government & Compliance Forms – Process tax forms, applications, and compliance-related documents automatically.

Who Benefits?

80% Reduction in Manual Effort – Automates data extraction, reducing the need for human intervention.
5X Faster Processing Speed – Extracts and processes documents within seconds.
99% Accuracy with AI-powered Extraction – Ensures reliable data extraction from structured and unstructured documents.
Up to 70% Cost Savings – Eliminates costs associated with manual data entry and errors.
Scalable to Handle Thousands of Documents Daily – Efficiently processes large volumes of documents without performance degradation.

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.