Learn which Azure resource to create when using the Form Recognizer pre-built receipt model. Prepare for the AI-900 Microsoft Azure AI Fundamentals certification exam.
Table of Contents
Question
Your team member is planning to use the Form Recognizer pre-built receipt model. Which kind of Azure resource should you recommend to create?
A. Computer Vision
B. Face Service
C. Form Recognizer
Answer
To use the Form Recognizer pre-built receipt model, you should create a Form Recognizer resource in Azure.
C. Form Recognizer
Explanation
Form Recognizer is a cognitive service that uses machine learning to extract key-value pairs, tables, and text from documents like receipts, invoices, and forms. The pre-built receipt model is a ready-to-use model trained on thousands of sample receipts that can extract data like merchant name, transaction date, and totals without additional training.
While Computer Vision and Face Service are also Azure Cognitive Services, they are used for different purposes:
- Computer Vision is for image analysis tasks like OCR, object detection, and image captioning
- Face Service is for detecting, identifying, and analyzing human faces in images
So for working specifically with the Form Recognizer pre-built receipt model, creating a Form Recognizer resource is the correct choice. This will provide the endpoint and credentials needed to call the receipt model API and process receipts.
In summary, always create a Form Recognizer resource in Azure when planning to leverage the Form Recognizer pre-built models or custom models for extracting structured data from documents. This is the service designed for that purpose.
Form Recognizer is a specific Azure service designed to extract and analyze data from documents, including receipts, invoices, and other forms. The pre-built models are tailored for common document types like receipts.
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