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Develop solutions with Azure AI Document Intelligence

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Introduction

Hey everyone, and welcome to Tech Day! Emil is live with us today, to speak about Document Intelligence in Azure. Emil will be speaking for 15 minutes, and I will share any questions with him. Over to you, Emil—please introduce yourself and take it from here.

Introduction

Thank you so much, and thank you everyone for joining us today. I'm super excited to be here and thank you to the organizers for inviting me to share my knowledge with the community. Today, I will walk us through developing solutions with Azure AI Document Intelligence.

About Emil

I am Emil, an IT professional with close to a decade of experience. Currently, I am the community lead at the Nigeria M365 Community, a co-founder at the Nigeria Microsoft Co-Pilot and AI Community, and a teacher in the Security User Group here in Nigeria. My specializations are in Microsoft 365, Azure Cloud Security, and Azure AI. I am also an AI Associate and hold several Microsoft Certifications.

Agenda

The agenda for today includes:

  1. Introduction to Azure AI Document Intelligence.
  2. Planning an Azure AI Document Intelligence solution.
  3. Using prebuilt models with Azure AI Document Intelligence.
  4. Introduction to Azure AI Document Intelligence resources.
  5. Connecting to Azure AI Document Intelligence.
  6. General Document Analysis Model.
  7. More specific models and their applications.

The Challenge

Forms are essential for organizations but extracting data from them usually involves manual effort, which can be time-consuming and error-prone.

What is Azure Document Intelligence?

Azure Document Intelligence is a cloud-based AI service that uses OCR (Optical Character Recognition) and deep learning models to extract data from documents. It offers prebuilt models trained on thousands of examples, ensuring high accuracy without requiring additional modeling.

Why Azure Document Intelligence?

  1. Automated Data Extraction: Eliminates manual data entry, reducing costs and errors.
  2. High Accuracy: Prebuilt models trained with thousands of forms ensure accuracy.
  3. Easy Integration: Integrates easily with CRM, ERP, and other systems.

Planning an Azure AI Document Intelligence Solution

When planning an Azure AI Document Intelligence solution, several factors must be considered:

  • Quick Implementation: Using prebuilt models.
  • Data Extraction: Extract and process data automatically.
  • Customization: Create custom models to suit unique needs.

Introduction to Azure AI Document Intelligence Resources

Resource Types

  1. Free Tier: Suitable for beginners and small implementations.
  2. Standard Tier: Offers more capabilities and fewer limitations.

Creating a Resource

  1. Search for Document Intelligence on the Azure portal.
  2. Create a New Resource: Select subscription, resource group, and configure settings.
  3. Deploy: Validate and deploy your resource.

Connecting to Azure AI Document Intelligence

  1. Obtain Endpoint and Access Key: Navigate to the created resource and copy these details.
  2. Store Values: For use in application code.

Using Models in Azure AI Document Intelligence

Types of Models

  1. Prebuilt Models: For common types like invoices, receipts, etc.
  2. Custom Models: For unique or unusual forms.

General Document Analysis Models

  • Read Model: Extracts words and lines from both printed and handwritten documents.
  • General Document Model: Extracts key-value pairs and table data.
  • Layout Model: Recognizes and extracts text, table, and structured data including checkboxes.

Azure AI Document Intelligence Studio

The Azure AI Document Intelligence Studio enables you to explore capabilities, analyze samples, and integrate with applications. It's designed for custom application and virtual exploration.

Demonstration

Emil demonstrated various prebuilt models using sample documents to show the capability of Azure AI Document Intelligence. Among models demonstrated:

  • General Documents: Outlines capabilities using default settings.
  • Invoices: Extracts detailed data such as amount, customer address, and more.
  • Custom Models: Detailed steps to create and train for specific use cases.

Conclusion

Azure AI Document Intelligence offers a powerful solution for organizations looking to automate the reading and extraction of data from documents. The service provides a balance of prebuilt models for quick implementation and custom models for unique requirements. Azure AI Document Intelligence Studio further simplifies exploring, developing, and refining solutions.

Keywords

  • Azure Document Intelligence
  • OCR
  • Deep Learning Models
  • Data Extraction
  • AI Integration
  • Custom Models
  • Prebuilt Models
  • Document Analysis

FAQ

1. What is Azure Document Intelligence?

Azure Document Intelligence is a cloud-based AI service that uses OCR and deep learning models to extract data from documents efficiently.

2. How do prebuilt models differ from custom models?

Prebuilt models are for common forms and documents and are quick to implement, requiring no additional training. Custom models are for unique forms and require training to ensure accurate data extraction.

3. What is the process of creating an Azure Document Intelligence Resource?

To create the resource, search for Document Intelligence on the Azure portal, create the resource by selecting the appropriate subscription, and configure all necessary settings before deploying.

4. What types of files can be analyzed using Azure Document Intelligence?

Supported formats include JPEG, PNG, BMP, TIFF, and PDF. Each type of file has different size and quality requirements.

5. Can Azure Document Intelligence be used globally?

Yes, you can choose from multiple available regions when setting up your resource, ensuring it's close to your users for optimal performance.