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AI-900: How to use OCR to extract text from images in Azure AI

Learn how to use optical character recognition (OCR) to extract text from images in Azure AI, and why it is the best Al workload for this scenario.


The company you work for manages a dockyard where hundreds of containers of merchandise are processed every day. You need to implement an Al solution that can extract ships and containers registration numbers from images. Which Al workload should you use?

A. Optical character recognition (OCR)
B. Object detection
C. Facial recognition
D. Image classification


A. Optical character recognition (OCR)


OCR has represents the ability to extract text from images is handled by the Computer Vision service, which also provides image analysis capabilities.

The correct answer is A. Optical character recognition (OCR). OCR is a type of Al workload that can analyze images and extract text from them. OCR can be used to recognize various types of text, such as handwritten, printed, or digital text. OCR can also handle different languages, fonts, and formats of text. OCR is useful for applications that need to process large amounts of documents, such as invoices, receipts, forms, or contracts.

In this scenario, OCR can be used to extract the ships and containers registration numbers from images of the dockyard. These numbers are usually printed or painted on the sides of the ships and containers, and they can be used to identify and track the merchandise. OCR can help automate the process of reading and recording these numbers, which can save time and reduce errors.

Object detection, facial recognition, and image classification are other types of Al workloads that can analyze images, but they are not suitable for this scenario. Object detection can locate and label objects in an image, such as cars, animals, or people. Facial recognition can identify and verify faces in an image, such as for security or authentication purposes. Image classification can assign a label to an image based on its content, such as cat, dog, or flower. However, none of these workloads can extract text from images, which is what the scenario requires.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump

Alex Lim is a certified IT Technical Support Architect with over 15 years of experience in designing, implementing, and troubleshooting complex IT systems and networks. He has worked for leading IT companies, such as Microsoft, IBM, and Cisco, providing technical support and solutions to clients across various industries and sectors. Alex has a bachelor’s degree in computer science from the National University of Singapore and a master’s degree in information security from the Massachusetts Institute of Technology. He is also the author of several best-selling books on IT technical support, such as The IT Technical Support Handbook and Troubleshooting IT Systems and Networks. Alex lives in Bandar, Johore, Malaysia with his wife and two chilrdren. You can reach him at [email protected] or follow him on Website | Twitter | Facebook

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