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AI-900: OCR in Computer Vision API for Text Extraction

Explore the power of Optical Character Recognition (OCR) in Computer Vision API for scanning images, extracting text regions, lines, and words. Enhance image analysis and text extraction effortlessly.

Table of Contents

Question

Application scans image and immediately returns the following information: regions, lines for each region, and words for each line of text.

What Computer vision API does the application use for image scan?

A. Read
B. NLP
C. OCR
D. Text Analytics
E. LUIS

Answer

C. OCR

Explanation

The Computer Vision API used for scanning images and providing information on regions, lines for each region, and words for each line of text is:

C. OCR (Optical Character Recognition): It’s designed to extract text information from images, breaking it down into regions, lines, and words for analysis and understanding.

OCR API is the part of Computer Vision services that extracts small amounts of text within an image. It is a synchronous service specially designed to provide an immediate result.

It returns the following information:

Regions on the image with text defined by bounding box coordinates
Lines of text in each region also with bounding box coordinates
Words in each line with bounding box coordinates
Option A is incorrect since Read API helps to “read” texts within the images of predominantly documents. It is an asynchronous service specially designed for the heavy on text documents with many distortions.
All other options are incorrect because they are not dealing with extracting text from the images.

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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