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What is Azure AI Document Intelligence | Detailed Explanation

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Organisations are continuously looking for more intelligent methods to retrieve, process, and handle the enormous volumes of data concealed in their papers in the fast-paced digital world of today. Presenting Azure AI Document Intelligence, Microsoft’s potent document processing tool that turns unstructured documents into useful information by utilising artificial intelligence. Document Intelligence streamlines data extraction at scale, removing manual entry and increasing productivity for invoices, receipts, contracts, and tax forms.

In this blog, we’ll break down what Azure AI Document Intelligence is, its key features, the benefits it offers, how it works behind the scenes, and how businesses are using it in real-world scenarios.

Table of Contents:

  1. What is Azure AI Document Intelligence?
  2. Key Features
  3. Benefits of AI Document
  4. How does it actually work?
  5. Real World Applications
  6. Conclusion

What is Azure AI Document Intelligence?

Azure AI Document Intelligence

Source: Microsoft

Azure AI Document Intelligence (previously known as Azure Cognitive Services Form Recognizer) is a cloud-based service that empowers users to create intelligent document processing solutions. It facilitates quicker and more effective data collection and processing by managing the large and diverse amounts of data kept in forms and documents. Document intelligence plays a critical role in improving operations, promoting data-informed decisions, and stimulating innovation by optimizing these workflows.

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Key Features of Azure AI Document Intelligence

Azure AI Document Intelligence, formerly known as Form Recognizer, is designed to analyze and extract text, key-value pairs, tables, and structures from documents. It consists of features grouped by model type:

1. Document Analysis Model

These models make it possible to extract text from documents and forms and provide structured, business-ready content that is prepared for action, usage, or advancement by your organization. They are able to extract key-value pairs, text and document structure, and handwritten and printed text.

Document Analysis Model

2. Pre-Built Models

Azure AI Document Intelligence

Azure AI Document Intelligence provides pre-trained models designed to extract structured data from documents without requiring custom training. These models are optimised for specific document types and offer fast, accurate data extraction capabilities. Key prebuilt models include:

  • Invoice Model: Extracts invoice numbers, vendor details, total amounts, and payment due dates.
  • Receipt Model: Captures details like merchant name, transaction date, items purchased, and totals.
  • ID Document Model: Extracts information from passports, driver’s licences, and other identification cards.
  • Business Card Model: Gathers contact details such as names, job titles, email addresses, and phone numbers.

Related Readings: Streamline Document Analysis with Prebuilt Models using Azure AI Document Intelligence

3. Custom Models

custom model

To extract unique data from forms and documents that are relevant to your use cases, these models are trained using your tagged datasets. Composed models can be made by combining standalone custom models. To extract labelled fields from documents, custom extraction models are trained.

Benefits of AI Document Intelligence

AI Document Intelligence offers several benefits, including increased operational effectiveness and strategic influence. Some of them are:

  • Time & Cost Savings: Data entry by hand is laborious and prone to mistakes. By automating this procedure, Document Intelligence cuts down processing time from hours to minutes.
  • Improved Accuracy: The system achieves excellent levels of accuracy thanks to AI models that have been trained on thousands of documents, particularly when you use models that have been specially trained for your documents.
  • Scalability: Without experiencing infrastructure constraints, you may process hundreds or even millions of documents thanks to the cloud-native architecture.
  • Seamless Integration: End-to-end automation workflows are made possible by Azure AI Document Intelligence’s integration with other Microsoft services, such as Power Automate, Logic Apps, and Dynamics 365.

Related Readings: Effortless Text Extraction with Azure AI Vision SDK: A Beginner’s Guide

How does it actually work?

On a broad scale, the procedure is simple yet very effective:

1) Ingestion of Documents: Users submit documents in supported formats, either digital or scanned.

2) Choosing a Model: Depending on the type of document, select from prebuilt models or create a new model.

3) Analysis & Processing: The AI engine parses the document using ML-based field extraction, layout comprehension, and optical character recognition (OCR).

4) Output Generation: All extracted items, including text, fields, tables, and spatial coordinates, are returned along with structured data (such as JSON).

5) Integration & Usage: The result can be saved, shown, or sent to other programs for additional processing (such as entering data into a database or starting a business process).

Additionally, Azure provides REST APIs and SDKs, which let developers easily incorporate document intelligence into custom apps or backend systems.

Related Readings: Azure AI Foundry: A Comprehensive Guide

Real World Applications

Document Intelligence Azure Workflows in many industries are already changing as a result of AI document intelligence. These are a few strong use cases:

1. Services for Finance: By extracting information from ID cards, pay stubs, and income statements, banks utilise it to automate loan processing.

2. By digitising insurance cards, invoices, and intake forms, healthcare hospitals expedite patient onboarding and billing.

3. Legal Industry To expedite the review process, law firms utilise technology to extract terms and metadata from lengthy contracts and legal documents.

4. Retail and e-commerce stores scan receipts automatically for apps that track spending or loyalty programmes.

5. To provide citizen services more quickly, government and public sector organisations digitise and maintain enormous collections of paper forms, tax records, and applications.

Conclusion

A revolutionary solution for businesses trying to discover the value concealed in their documents is Azure AI Document Intelligence. Businesses may increase productivity, decrease manual labour, and obtain deeper insights from their data by utilising state-of-the-art AI and machine learning.

There are countless opportunities for automation and innovation as more businesses embrace document intelligence. Now is the perfect moment to investigate how Azure AI Document Intelligence can optimise your document workflows, regardless of your role—developer, business analyst, or corporate leader.

Frequently Asked Questions

What is the difference between OCR and Document Intelligence in Azure?

Document Intelligence Read Optical Character Recognition (OCR) model runs at a higher resolution than Azure AI Vision Read and extracts print and handwritten text from PDF documents and scanned images

What is the difference between AI builder and Azure AI Document Intelligence?

AI Builder is heavily leveraged towards 'citizen' developers who prefer a truly no/low-code, lightweight experience that offers little customization but high ease of use. Document Intelligence is geared towards pro-code, highly customizable workloads where scaling, control, and integration are key.

Is Azure Document Intelligence free?

Document Intelligence offers a free tier (F0) where you can test all the Document Intelligence features.

What languages are available in Azure AI Document Intelligence?

Azure AI Document Intelligence supports multiple languages including English, French, German, Italian, Spanish, Portuguese, Dutch, Chinese, Japanese, and Korean.

Next Task: Enhance Your Azure AI/ML Skills

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The post What is Azure AI Document Intelligence | Detailed Explanation appeared first on Cloud Training Program.


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