What technology is primarily used by Azure Computer Vision for text extraction?

• A. Machine learning algorithms
• B. Optical character recognition (OCR)
• C. Database indexing
• D. Cloud storage services

Answer: (B)

The primary technology used by Azure Computer Vision for text extraction is Optical Character Recognition (OCR). This technology enables the system to interpret and convert different types of documents, such as scanned papers or images, into machine-readable text. OCR analyzes the shapes and patterns of characters in images, effectively recognizing letters and numbers, which allows it to extract the text accurately.

OCR is crucial for applications like digitizing printed documents, reading text in natural images, and processing documents in various environments. This capability is fundamental to many features of Azure Computer Vision, especially when dealing with documents, signage, and any textual content present in images.

Machine learning algorithms play a role in enhancing OCR's effectiveness by improving accuracy and adapting to various fonts and handwriting styles, but they are not the core technology driving text extraction. Meanwhile, database indexing pertains to organizing data for quick retrieval and does not relate directly to text extraction. Cloud storage services facilitate the storage and accessibility of scanned images and documents but do not directly handle text extraction processes.