Discover the ideal service for extracting text, key/value pairs, and table data automatically from scanned documents. Explore the capabilities of Form Recognizer, Text Analytics, Language Understanding, and Custom Vision to streamline your document processing workflows. Find the perfect solution to unlock valuable insights from your scanned documents efficiently and accurately.
Question
Table of Contents
Which service should you use to extract text, key/value pairs, and table data automatically from scanned documents?
A. Form Recognizer
B. Text Analytics
C. Language Understanding
D. Custom Vision
Answer
A. Form Recogniser
Explanation
The correct answer is A. Form Recognizer. Form Recognizer is a cognitive service that uses machine learning to extract text, key/value pairs, and table data automatically from scanned documents. It can also analyze the layout and structure of the documents, such as the number of pages, lines, words, and paragraphs. Form Recognizer can handle various types of documents, such as invoices, receipts, business cards, tax forms, and more.
Text Analytics is a cognitive service that provides natural language processing capabilities, such as sentiment analysis, key phrase extraction, named entity recognition, and language detection. It does not extract text from scanned documents, but rather analyzes the text that is already provided as input.
Language Understanding is a cognitive service that enables you to build natural language understanding models that can interpret user intents and entities from spoken or written input. It does not extract text from scanned documents, but rather helps you create conversational agents that can understand user requests.
Custom Vision is a cognitive service that allows you to build and deploy custom image classifiers and object detectors. It does not extract text from scanned documents, but rather helps you identify and locate objects in images.
Therefore, Form Recognizer is the only service that can extract text, key/value pairs, and table data automatically from scanned documents.
Accelerate your business processes by automating information extraction. Form Recognizer applies advanced machine learning to accurately extract text, key/value pairs, and tables from documents. With just a few samples, Form Recognizer tailors its understanding to your documents, both on-premises and in the cloud. Turn forms into usable data at a fraction of the time and cost, so you can focus more time acting on the information rather than compiling it.
Reference
Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.
Alex Lim
Alex Lim is a certified IT Technical Support Architect with over 15 years of experience in designing, implementing, and troubleshooting complex IT systems and networks. He has worked for leading IT companies, such as Microsoft, IBM, and Cisco, providing technical support and solutions to clients across various industries and sectors. Alex has a bachelor’s degree in computer science from the National University of Singapore and a master’s degree in information security from the Massachusetts Institute of Technology. He is also the author of several best-selling books on IT technical support, such as The IT Technical Support Handbook and Troubleshooting IT Systems and Networks. Alex lives in Bandar, Johore, Malaysia with his wife and two chilrdren. You can reach him at [email protected] or follow him on Website | Twitter | Facebook
