AI-102 Implement computer vision solutions Practice Question
A company is building a solution to analyze customer reviews images using Azure AI Vision. They need to extract text from images that may contain both printed and handwritten text. Which feature should they use?
⚠ Common exam trap
Candidates often confuse the OCR API with the Read API, assuming both handle handwritten text equally, but the OCR API is limited to printed text while the Read API is the only one that natively supports mixed printed and handwritten content.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Read API
The Read API is the correct choice because it is specifically designed to extract text from images containing both printed and handwritten text, using advanced OCR capabilities that support mixed content. Unlike the OCR API, which is optimized for printed text only, the Read API leverages deep learning models to handle varied handwriting styles and complex layouts, making it ideal for analyzing customer review images.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Custom Vision
Why it's wrong here
Custom Vision trains image classification and object detection models; it returns labels and bounding boxes, not transcribed characters, so no text is extracted. It is tempting because custom training suits domain-specific image tasks, and it would be correct for categorising review photos rather than reading them.
- ✗
OCR API (optical character recognition)
Why it's wrong here
The legacy OCR API handles printed text only, so handwritten content in the reviews would be missed. It is tempting because OCR is the obvious choice for extracting text from images, and it would be correct when every image contains solely machine-printed characters.
- ✓
Read API
Why this is correct
The Read API uses the OCR engine that handles both printed and handwritten text within the same image, satisfying the mixed-content constraint. Legacy OCR and handwriting-only endpoints cannot process both simultaneously, so Read is the only feature meeting this requirement.
- ✗
Azure AI Document Intelligence
Why it's wrong here
Document Intelligence targets structured documents such as forms and invoices, using prebuilt or custom models rather than general image text extraction. It is tempting because it does read handwriting, and it would be correct for parsing scanned forms, but not for arbitrary review images.
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