AI-102 Implement computer vision solutions Practice Question
You are building a web application that allows users to upload images of restaurant receipts and extract the total amount and merchant name. The receipts may be crumpled, rotated, or have handwritten notes. Which Azure AI service should you use to reliably extract this information?
⚠ Common exam trap
The trap here is assuming that the Read API's text extraction is sufficient, but it lacks the semantic understanding to identify specific fields like total amount without extra processing.
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
✓
Azure AI Document Intelligence prebuilt receipt model
The prebuilt receipt model in Azure AI Document Intelligence is purpose-built to extract structured fields like total and merchant name from receipts, even when they are crumpled or rotated. It uses a combination of OCR and machine learning to understand receipt layouts and output key-value pairs, eliminating the need for custom parsing or additional services.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Azure AI Vision Spatial Analysis
Why it's wrong here
Spatial Analysis is designed to analyze movement in video streams, such as counting people or tracking social distancing, not for extracting text from images. It processes real-time video feeds and outputs events about people's locations, which is unrelated to receipt data extraction. Using it here would not provide the required text or field extraction.
- ✓
Azure AI Document Intelligence prebuilt receipt model
Why this is correct
The prebuilt receipt model in Azure AI Document Intelligence is specifically trained to extract key fields such as total, merchant name, transaction date, and line items from receipts. It handles variations in receipt formats, including rotation and crumpling, and returns structured JSON with confidence scores, making it ideal for this scenario without custom parsing.
- ✗
Azure AI Face API
Why it's wrong here
The Face API detects and recognizes human faces, returning attributes like age, emotion, and landmarks. It does not perform optical character recognition or extract text from documents. Applying it to receipts would yield no useful information about the total or merchant, as it focuses solely on facial features and identification.
- ✗
Azure AI Vision Read API
Why it's wrong here
The Read API is optimized for extracting printed and handwritten text from images and documents, but it returns raw text lines and words without semantic understanding of fields like total amount or merchant name. It cannot directly provide structured key-value pairs, so additional parsing would be required to identify the total and merchant from the OCR output.
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Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Microsoft exam blueprint
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