Enhanced Document Understanding on AWS

Deploy an event-driven AWS Solution that automates document ingestion, analysis, detection, and redaction


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.


Extend the modular architecture

Based on the features required for your use case, you can configure the root template to deploy some or all of the nested templates.

Customize the workflow orchestration

Choose from out-of-the-box workflow configuration definitions.

Use artificial intelligence (AI) and machine learning (ML) automation

Get insights from AWS managed AI services, even if you have little or no knowledge or training in deploying ML models.

Text extraction

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.

Introduction to Artificial Intelligence

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.

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Introduction to AWS Machine Learning Services

This course introduces Amazon Machine Learning and Artificial Intelligence tools that enable capabilities across frameworks and infrastructure, machine learning platforms, and API-driven services.

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Use cases for this AWS Solution
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