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A financial institution wants to extract key-value pairs (like names and amounts) from scanned invoices and forms. Which AWS service should they use?
A
Amazon Rekognition
B
Amazon Textract
C
Amazon Comprehend
D
Amazon OpenSearch
Explanation:
Amazon Textract is the correct AWS service for this use case because:
Purpose: Amazon Textract is specifically designed to extract text, handwriting, and data from scanned documents, forms, and invoices.
Key-Value Pair Extraction: Textract can intelligently identify and extract structured data from forms and invoices, including key-value pairs like "Name: John Doe" or "Amount: $100.00".
Document Processing: It uses machine learning to understand the layout and structure of documents, making it ideal for processing scanned invoices and forms.
Why not the other options?
A) Amazon Rekognition: Primarily for image and video analysis (facial recognition, object detection), not document text extraction.
C) Amazon Comprehend: For natural language processing (NLP) tasks like sentiment analysis, entity recognition, and language detection, but not specifically for extracting structured data from scanned documents.
D) Amazon OpenSearch: A search and analytics engine (formerly Elasticsearch), not designed for document text extraction.
Key Features of Amazon Textract:
Extracts text from scanned documents
Identifies forms and tables
Extracts key-value pairs from forms
Handles handwriting recognition
Integrates with other AWS services for document processing workflows