You are building an app that will include one million scanned magazine articles. Each article will be stored as an image file.
You need to configure the app to extract text from the images. The solution must minimize development effort.
What should you include in the solution?
To extract text from one million scanned magazine articles stored as image files while minimizing development effort, the Read API in Computer Vision is the most suitable option. This API is specifically designed for extracting printed and handwritten text from images using advanced Optical Character Recognition (OCR) algorithms. It is optimized for handling text-heavy documents efficiently, making it ideal for the given scenario.
To me the correct answer is B. With the new Image Analysis API 4.0 (in preview) you could use OCR feature too, but as i said, it is in preview. And i don't think it is considered in the exam. https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/overview-image-analysis?tabs=4-0 Instead the Read API is particularly adapted for text-heavy documents and it seems this is the case https://learn.microsoft.com/en-us/rest/api/computervision/read/read?view=rest-computervision-v3.1&tabs=HTTP
All answers should have a reference to prove the answer is true
i also think its B Use this interface to get the result of a Read operation, employing the state-of-the-art Optical Character Recognition (OCR) algorithms optimized for text-heavy documents. https://learn.microsoft.com/en-us/rest/api/computervision/3.2preview2/read/read?tabs=HTTP
Document Intelligence(Previously Form Recognizer) reads small to large volume of text from images and PDF documents. For example: receipts, articles, and invoices
No I don't think so. Azure AI Document Intelligence is a more sophisticated solution. For example, it can identify key/value pairs, tables, and context-specific fields. If you want to deploy a complete document analysis solution for both extracting AND understanding text, Azure AI Document Intelligence is a good solution. In this case, Document Intelligence is a too advanced solution as the question doesn't provide any information about what to do with the extracted text, the focus here is on text extraction alone. So the answer is B.
This is a good explanation from chat GPT why B is the correct fit and A is not: A - Computer Vision Image Analysis: This is a service provided by Azure that can extract a wide variety of visual features from your images. It can determine whether an image contains adult content, find specific brands or objects, or find human faces. However, while it does have OCR capabilities, it is not specifically designed for large-scale text extraction from images. B - Read API in Computer Vision: This is a part of the Azure Computer Vision service that is designed to extract printed and handwritten text from images. It uses state-of-the-art Optical Character Recognition (OCR) algorithms optimized for text-heavy documents2. This could be a good fit for your needs as it is designed to handle large amounts of text in images. the key here is option A it is not specifically designed for large-scale text extraction from images.
the Read API in Computer Vision is right.
Read API is particularly adapted for text-heavy documents and it seems this is the case
i think it should be B based on ChatGpt using Azure Read API if: Your primary focus is on text extraction from documents, forms, or images with printed text. You have a batch processing requirement, and you need to process a large number of documents or images at once. You need highly accurate text extraction with structured output.
A. Computer vision does not have read model. Read model is document intelligence (formregnize) model
Selected Answer: B
see if you can spot this one B.
Concordo com o @jangotango sobre as referências. Tem que evidenciar.
Why not B?