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Extracting Text and Data with Amazon Textract

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Eduardo Freitas

1:20:21

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  • 01. Course Overview.mp4
    02:16
  • 01. Overview.mp4
    01:19
  • 02. Prerequisites and Introduction to Textract.mp4
    02:44
  • 03. Textract Features.mp4
    03:01
  • 04. Traditional OCR Solutions.mp4
    01:29
  • 05. How Textract Works.mp4
    01:58
  • 06. Textract vs. Traditional OCRs.mp4
    02:27
  • 07. Demo- Signing up for Textract.mp4
    03:14
  • 08. Demo- Setting up the Python SDK.mp4
    02:02
  • 09. Summary.mp4
    00:47
  • 01. Overview and Sync Operations.mp4
    02:57
  • 02. Text Detection Mechanism.mp4
    03:56
  • 03. Item Location.mp4
    05:12
  • 04. Text Analysis Mechanism.mp4
    03:59
  • 05. Text Content and Forms.mp4
    04:51
  • 06. Tables, Selection Elements, and Responses.mp4
    03:32
  • 07. Demo- Text Detection and Analysis on Single-page Docs.mp4
    05:17
  • 08. Demo- Implementing Key-value Extraction.mp4
    02:31
  • 09. Demo- Implementing Table Extraction.mp4
    03:06
  • 10. Summary.mp4
    01:00
  • 01. Introduction and Overview.mp4
    01:26
  • 02. Multi-page Operations.mp4
    01:46
  • 03. Multi-page Detection and Analysis.mp4
    02:07
  • 04. Textract Best Practices.mp4
    04:15
  • 05. Demo- Text Detection and Analysis on PDFs.mp4
    08:46
  • 06. Demo- Implementing PDF Data Extraction.mp4
    03:02
  • 07. Summary.mp4
    01:21
  • Description


    This course will teach you how to use and work with Amazon Textract, which extracts text and data from scanned documents, going beyond traditional OCR.

    What You'll Learn?


      Businesses are moving to an instantaneous and digital world, but we will still need physical documents for quite some time. In this course, Extracting Text and Data with Amazon Textract, you will learn to use OCR technology to extract text, and key-value pairs of data from scanned documents. First, you will explore how to detect printed text and numbers in a scan or rendering of a document. Next, you will discover how to detect key-value pairs in document images automatically so that they can retain the inherent context of the document without any manual intervention. Finally, you will learn how to preserve the composition of data stored in tables during extraction. When finished with this course, you will have the skills and knowledge of how to use Amazon Textract to create smart search indexes, build automated approval workflows, and better maintain compliance with document archival rules by flagging data that may require manual input, as well as being able to export data contained within those documents to other systems.

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    Eduardo Freitas
    Eduardo Freitas
    Instructor's Courses
    Eduardo is a technology enthusiast, software architect and customer success advocate. He's designed enterprise .NET solutions that extract, validate and automate critical business processes such as Accounts Payable and Mailroom solutions for all types of organizations. He's designed and supported production systems for global names such as Coca Cola, Enel, Pirelli, Fiat-Chrysler, Xerox and many others. He's a well-known specialist in the Enterprise Content Management market segment, specifically focusing on data capture & extraction and document process automation. He designed a supplier invoice processing system for Agfa that achieved 50% straight-through processing (50% of invoices extracted from paper, validated and exported into SAP without any human validation). He's also loves to write about cutting-edge technologies. He loves helping customers succeed. In his free time, he enjoys spending time with his family and being outdoors. He loves running and sports.
    Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.
    • language english
    • Training sessions 27
    • duration 1:20:21
    • level average
    • English subtitles has
    • Release Date 2023/12/14