Microsoft Azure AI Fundamentals (AI-900) Practice Exam

What technology should be used to extract text from handwritten documents?

1. Text Analytics

2. Optical Character Recognition (OCR)

3. Speech Recognition

4. Language Understanding

The correct answer is: Optical Character Recognition (OCR)

Optical Character Recognition (OCR) is specifically designed to convert different types of documents, including handwritten notes, into machine-readable text. This technology uses pattern recognition and machine learning techniques to identify characters in scanned images of documents. The ability to process handwriting is particularly useful in contexts such as digitizing historical documents or automating data entry from handwritten forms. Text Analytics is focused more on extracting insights and understanding content from structured text rather than converting images of handwritten documents into text. Speech Recognition, on the other hand, deals with converting spoken language into text through voice input rather than written formats. Language Understanding is concerned with comprehending the intent behind text in natural language processing applications and does not perform character recognition tasks like OCR does. Thus, OCR stands out as the most appropriate technology for extracting text from handwritten documents.