Microsoft Certified: Azure AI Engineer AssociateImplement natural language processing solutionsEasy
A research institution is analyzing a large corpus of historical documents, many of which are scanned images of handwritten or typed pages. To make this data searchable and processable by other AI services, the institution needs to convert these images into machine-readable text. Which Azure AI service should they use?
- AAzure AI Vision - Optical Character Recognition (OCR)
- BAzure AI Language - Text Summarization
- CAzure AI Speech - Speech-to-text
- DAzure AI Language - Sentiment Analysis
Show answer & explanationAnswer & explanation
Correct answer: A. Azure AI Vision - Optical Character Recognition (OCR)
Optical Character Recognition (OCR) is the specific technology designed to extract text from images, whether scanned documents, photos, or handwritten notes. Azure AI Vision provides robust OCR capabilities, making it the correct choice for converting historical document images into machine-readable text.
Why the other options are wrong
- B. Text Summarization condenses existing text, it does not convert images to text.
- C. Speech-to-text converts spoken audio to text, not text from images.
- D. Sentiment Analysis determines emotional tone, it does not convert images to text.
Optical Character Recognition (OCR)
The electronic or mechanical conversion of images of typed, handwritten, or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene-photo (e.g., text on signs in a landscape photo), or subtitle text superimposed on an image.
- Converts image-based text into digital, editable text.
- Crucial for digitizing physical documents.
- Enables searchability and further NLP processing of image-based content.
Memory trick: See the letters, Type the words.