You are developing the document processing workflow.
You need to identify which API endpoints to use to extract text from the financial documents. The solution must meet the document processing requirements.
Which two API endpoints should you identify? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
CE
C: Analyze Receipt - Get Analyze Receipt Result.
Query the status and retrieve the result of an Analyze Receipt operation.
Request URL:
https://{endpoint}/formrecognizer/v2.0-preview/prebuilt/receipt/analyzeResults/{resultId}
E: POST {Endpoint}/vision/v3.1/read/analyze
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.
Scenario: Contoso plans to develop a document processing workflow to extract information automatically from PDFs and images of financial documents
✑ The document processing solution must be able to process standardized financial documents that have the following characteristics:
- Contain fewer than 20 pages.
- Be formatted as PDF or JPEG files.
- Have a distinct standard for each office.
✑ *The document processing solution must be able to extract tables and text from the financial documents.
The document processing solution must be able to extract information from receipt images.
Reference:
https://westus2.dev.cognitive.microsoft.com/docs/services/form-recognizer-api-v2-preview/operations/GetAnalyzeReceiptResult https://docs.microsoft.com/en-us/rest/api/computervision/3.1/read/read
guys so what is the correct answer
Contoso have a distinct standard for each office. Is the customized form recognizer more appropriate?
Agreed, also the receipt text extraction is separate to the financial documents, question is only about the financial documents. "The document processing solution must be able to extract tables and text from the financial documents. The document processing solution must be able to extract information from receipt images."
B: https://learn.microsoft.com/en-us/azure/applied-ai-services/form-recognizer/concept-analyze-document-response?view=form-recog-3.0.0 C: Form Recognizer Receipts
B - Members of a group named Management-Bookkeeper must define how to extract tables from the financial documents C - Extract text for "receipt" images
To meet Contoso’s document processing requirements for standardized financial documents, consider the following two API endpoints: /formrecognizer/v2.0/custom/models/{modelId}/analyze: This endpoint is ideal for extracting information from financial documents. It allows you to analyze custom models specifically designed for invoices and receipts. With this API, you can extract both tables and text from documents that adhere to distinct standards for each office1. /formrecognizer/v2.0/prebuilt/receipt/analyze: Designed for receipt analysis, this endpoint simplifies the extraction of relevant data from receipt images. It’s well-suited for handling financial paperwork in PDF or JPEG formats, especially when dealing with documents containing fewer than 20 pages1. By utilizing these endpoints, you can efficiently process financial documents, extract essential information, and enhance your document processing workflow.
Please note that these endpoints are part of Azure’s Form Recognizer service, which is designed for extracting text, key/value pairs, and tables from documents. It’s a great fit for your document processing requirements. The other endpoints listed (Option A, D, and E) are part of the Computer Vision service and are more suited for different tasks such as analyzing results of Read operation, describing an image, and running Read operation respectively. They might not be the best fit for your specific document processing needs.
Based on ChatGPT: B. /formrecognizer/v2.0/custom/models/{modelId}/analyze This endpoint is part of Azure's Form Recognizer service. It's particularly useful for extracting text and tables from financial documents because it can use custom models trained on your specific document types, enabling it to handle the distinct standards for each office as mentioned in the requirements. E. /vision/v3.1/read/analyze The Azure Computer Vision API's Read operation, which is executed by making a POST request to the /read/analyze endpoint, can analyze text in images, PDF documents, and TIFF files, recognizing both printed and handwritten text. It is designed to handle large documents and extracts the text and structure (such as tables) in the document.
Correct! It is specifically for fin. doc., not receipts (excl. C) https://westus.dev.cognitive.microsoft.com/docs/services/form-recognizer-api-v2/operations/GetCustomModel https://thedavidmasters.com/2020/05/18/demo-azure-form-recognizers-without-labels/
exactly
Agree with you
Accroding to the problem, we need: The document processing solution must be able to extract tables and text from the financial documents. The document processing solution must be able to extract information from receipt images. So the answer I will choose BC
B for customization C for prebuilt receipt with minimum efforts
B and C are correct as they are part of Azure Form Recognizer.
BC is the correct answer.
You need to analyze the receipt images and retrieve tables from the documents. E won’t work. You can simply check what the outputs look like. https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/how-to/call-read-api
Check the requirements carefully and verify what each solution can do.
1. Here the requirement involves only Financial documents, receipts are not included. 2. For financial documents we need to extract tables and text. 3. Extract Tables --> Form recognizer 4. Extract Text --> Computer Vision So according to me the correct answer is B to extract the data from the tables and E to extract from the texts https://westus.dev.cognitive.microsoft.com/docs/services/form-recognizer-api-v2/operations/GetCustomModel https://learn.microsoft.com/en-us/rest/api/computervision/read/read?view=rest-computervision-v3.1&tabs=HTTP
According to Windows Copilot: B) /formrecognizer/v2.0/custom/models/{modelId}/analyze: This endpoint is part of the Form Recognizer service. It allows you to create custom models for extracting structured data from documents. By training a custom model with examples of financial documents, you can extract relevant information such as tables and text. Since the solution needs to process standardized financial documents with distinct standards for each office, using a custom model tailored to your specific requirements is a suitable choice. C) /formrecognizer/v2.0/prebuilt/receipt/analyze: This endpoint is also part of the Form Recognizer service. It is specifically designed for extracting information from receipt images. Given that the solution must handle receipt data, this prebuilt receipt analysis endpoint is a good fit.
Is this question still available on May 21, 2024?
Is this question still available on May 21, 2024?
Selected Answer: BC