Overview
Organizations across industries are increasingly required to process large volumes of semi-structured and unstructured documents with greater accuracy and speed. Enhanced Document Understanding on AWS delivers an easy-to-use web application that ingests and analyzes documents, extracts content, identifies and redacts sensitive customer information, and creates search indexes from the analyzed data.
Documents can be uploaded through the web interface for processing. You can optionally enable Amazon Kendra support for machine learning-based enterprise search.
Benefits
Based on the features required for your use case, you can configure the root template to deploy some or all of the nested templates.
Choose from out-of-the-box workflow configuration definitions.
Get insights from AWS managed AI services, even if you have little or no knowledge or training in deploying ML models.
Use Amazon Textract to pull text and structural information from files and use Amazon Comprehend and Amazon Comprehend Medical for deeper analysis.
Technical details
You can automatically deploy this architecture using the implementation guide and the accompanying AWS CloudFormation template.
Step 1
The user requests the browser to navigate to an Amazon CloudFront URL.
Related content
In the course, we discuss what AI is and why it is important, and take a brief look at machine learning and deep learning—which are subsets of AI—and describe how Amazon uses AI in its products.
This course introduces Amazon Machine Learning and Artificial Intelligence tools that enable capabilities across frameworks and infrastructure, machine learning platforms, and API-driven services.
Total results: 5
- Headline
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Small & Medium Business
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Retail
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Artificial Intelligence
Total results: 1
- Publish Date
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- Version: 1.1.10
- Released: 1/2025
- Author: AWS
- Est. deployment time: 30-45 mins
- Estimated cost: See details