Hands-On LabBeginner

Getting Started with Optical Character Recognition (OCR) using Azure AI Vision Service

Extract text from images using Azure AI Vision OCR and Vision Studio in a hands-on beginner lab.

30 minEstimated time
3Guided steps
AutoVerification
IsolatedSandbox
Getting Started with Optical Character Recognition (OCR) using Azure AI Vision Service

Lab overview

Azure AI Vision's Optical Character Recognition (OCR) service is a powerful computer vision capability that automatically extracts printed and handwritten text from images and documents. This intelligent service can recognize text in multiple languages and formats, making it invaluable for organizations looking to digitize documents, automate data entry processes, and build intelligent applications that can understand visual content.

In this lab, you will create an Azure AI Services resource and explore the text extraction capabilities using Azure AI Vision Studio. You'll learn how to set up the necessary Azure resources, configure OCR services, and demonstrate real-world text extraction from various image formats using the intuitive Vision Studio interface.

Objectives

Upon completion of this easy level lab, you will be able to:

  • Create and configure an Azure AI Services resource in the Azure portal
  • Navigate and utilize Azure AI Vision Studio for computer vision tasks
  • Extract printed and handwritten text from images using OCR capabilities
  • Analyze and interpret OCR results for different image types and text formats
  • Understand the practical applications and limitations of Azure's OCR technology

Who is this lab for?

This lab is designed for:

  • Developers and data scientists new to Azure AI services who want to understand computer vision capabilities
  • Business analysts and solution architects exploring document digitization and automation opportunities
  • IT professionals responsible for implementing intelligent document processing solutions
  • Students and professionals learning about cloud-based artificial intelligence services

Verified against your live environment

An automated validation engine inspects your actual resources and configurations as you work. Completion means the task was performed — not multiple choice, real-world proficiency.

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Inspecting deployed resources...
Verifying configuration state...
✓ Step requirements satisfied

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PremiumIncluded in Premium
Duration
30 min
Steps
3

Environment

Live Cloud Environment

Every lab includes

  • Real environment, pre-credentialed
  • Automated checks on every step
  • Isolated sandbox, auto cleanup
  • AI-recommended next steps

Lab curriculum

  1. 01

    Logging into Azure Account using Azure Portal

  2. 02

    Creating an Azure Computer Vision Resource

    1 automated check

  3. 03

    Extracting Text with Azure AI Vision Studio

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