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Intelligent Document Processing with AWS AI/ML

You're reading from Intelligent Document Processing with AWS AI/ML A comprehensive guide to building IDP pipelines with applications across industries

Product type Paperback

Published in Oct 2022

Publisher Packt

ISBN-13 9781801810562

Length 246 pages

Edition 1st Edition

Languages

Processing

Tools

AWS

Concepts

Data Science

Author (1):

Sonali Sahu

View More author details

Table of Contents (16) Chapters

Preface

1. Part 1: Accurate Extraction of Documents and Categorization

2. Chapter 1: Intelligent Document Processing with AWS AI and ML FREE CHAPTER

3. Chapter 2: Document Capture and Categorization

4. Chapter 3: Accurate Document Extraction with Amazon Textract

5. Chapter 4: Accurate Extraction with Amazon Comprehend

6. Part 2: Enrichment of Data and Post-Processing of Data

7. Chapter 5: Document Enrichment in Intelligent Document Processing

8. Chapter 6: Review and Verification of Intelligent Document Processing

9. Chapter 7: Accurate Extraction, and Health Insights with Amazon HealthLake

10. Part 3: Intelligent Document Processing in Industry Use Cases

11. Chapter 8: IDP Healthcare Industry Use Cases

12. Chapter 9: Intelligent Document Processing – Insurance Industry

13. Chapter 10: Intelligent Document Processing – Mortgage Processing

14. Index

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15. Other Books You May Enjoy

Accurate Document Extraction with Amazon Textract

In the previous chapter, you read how businesses can use Amazon Simple Storage Service (Amazon S3) and the Amazon Comprehend custom classifier to collect and categorize documents before accurate document extraction. We will now dive into the details of the extraction stage of the Intelligent Document Processing (IDP) pipeline for the accurate extraction of documents. We will navigate through the following sections in this chapter:

Understanding the challenges in legacy document extraction
Using Amazon Textract for accurate extraction of different types of documents
Using Amazon Textract for the accurate extraction of specialized documents

The rest of the chapter is locked

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Authors (1)

Sonali Sahu

Sonali Sahu

Sonali Sahu is leading Intelligent Document Processing AI/ML Solutions Architect team at Amazon Web Services. She is a passionate technophile and enjoys working with customers to solve complex problems using innovation. Her core area of focus is Artificial Intelligence and Machine Learning. She has both breadth and depth in technology with industry expertise in Healthcare and Insurance.

See other products by Sonali Sahu

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