AI-900 Question 163
Select 3A company wants to extract text from scanned invoices to automate its data entry process. Which of the following features of Azure's Optical Character Recognition (OCR) solutions make it suitable for this task?
- A
Ability to recognize text in multiple languages
- B
Capability to generate natural language responses based on extracted text
- C
Support for extracting both printed and handwritten text
- D
Integration with Azure Cognitive Services for post-processing the extracted data
- E
Built-in ability to analyze sentiment from the extracted text
Show answer and explanation
Correct answers: A, C, D
Explanation
Azure OCR solutions are designed to extract text from images or scanned documents, supporting multiple languages, printed and handwritten text, and integration with other Azure services for further processing. These features make it a robust tool for automating tasks like data entry from invoices. However, OCR does not include capabilities like natural language generation or sentiment analysis, as these are outside its scope.
- A. Correct.
Azure OCR solutions support text recognition in multiple languages, making it ideal for processing documents in diverse languages.
- B. Incorrect.
OCR focuses on extracting text but does not provide natural language generation capabilities.
- C. Correct.
Azure OCR can extract both printed and handwritten text, which is useful for scanned documents that may include handwritten notes or annotations.
- D. Correct.
Azure OCR integrates seamlessly with other Azure Cognitive Services, such as Form Recognizer, to enhance processing tasks like data extraction and validation.
- E. Incorrect.
Sentiment analysis is not a feature of OCR itself but is a separate capability in Azure's Text Analytics service.