Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
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You build a canvas app for a manufacturing company. The company receives parts and materials from many vendors. You create a form to collect information from packing slips.
Receivers must be able to take a picture of packing slips to receive materials instead of manually entering data in the app.
You need to ensure that users can scan packing slip information into the form.
Proposed solution: Use an Entity Extraction model.
Does the solution meet the goal?
A . Yes
B . No
AI Builder entity extraction models recognize specific data in the text that you target based on your business needs.
The model identifies key elements in the text and then classifies them into predefined categories. This can help you transform unstructured data into structured data that’s machine-readable. You can then apply processing to retrieve information, extract facts, and answer questions.
Note: Create a canvas app and add the text recognizer AI Builder component to your screen. This component takes a photo or loads an image from the local device, and then processes it to detect and extract text based on the text recognition prebuilt model. If it detects text in the image, the component outputs the text and identifies the instances by showing a rectangle for each instance in the image.