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AI-900 · Question #197

You need to convert handwritten notes into digital text. Which type of computer vision should you use?

The correct answer is B. optical character recognition (OCR). To convert handwritten notes into digital text, Optical Character Recognition (OCR) is the appropriate computer vision technique.

Submitted by andres_qro· Mar 30, 2026Describe features of computer vision workloads on Azure

Question

You need to convert handwritten notes into digital text. Which type of computer vision should you use?

Options

  • Afacial detection
  • Boptical character recognition (OCR)
  • Cimage classification
  • Dobject detection

How the community answered

(24 responses)
  • A
    4% (1)
  • B
    88% (21)
  • C
    8% (2)

Why each option

To convert handwritten notes into digital text, Optical Character Recognition (OCR) is the appropriate computer vision technique.

Afacial detection

Facial detection is used to identify the presence and location of human faces in an image, not to extract text.

Boptical character recognition (OCR)Correct

Optical Character Recognition (OCR) is specifically designed to extract text from images, including handwritten or printed documents, and convert it into machine-readable digital text. This directly addresses the need to digitize handwritten notes.

Cimage classification

Image classification assigns a category or label to an entire image, rather than identifying and extracting text content.

Dobject detection

Object detection identifies and locates specific objects within an image using bounding boxes, but it does not extract text from those objects or the image itself.

Concept tested: Optical Character Recognition (OCR)

Source: https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/overview-ocr

Topics

#OCR#Computer Vision services

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