AWS Textract Tutorial - Extract data from documents or images

This video will show you you how to extract text, tables and forms from images and PDF files. I use a research paper, a financial report, and an insurance form as examples, with really good results!

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Learning Objectives:
- Learn about the features and benefits of Amazon Textract
- Learn how to better maintain compliance with document archival using machine learning. You don’t need to know ML to get started.
- Learn about different use cases from media & entertainment to healthcare and more

Many companies today extract data from documents and forms through manual data entry that’s slow and expensive, or through simple optical character recognition (OCR) software that is difficult to customize. Amazon Textract overcomes these challenges by using machine learning to instantly “read” virtually any type of document to accurately extract text and data without the need for any manual effort or custom code. In this tech talk, you will learn how to extract data from documents using Amazon Textract. We’ll also demonstrate how you can create smart search indexes and better maintain compliance with document archival rules once the information is captured.

Amazon Textract is a fully managed machine learning service that automatically extracts printed text, handwriting, and other data from scanned documents that goes beyond simple optical character recognition (OCR) to identify, understand, and extract data from forms and tables.

Many companies today extract data from scanned documents, such as PDF's, tables and forms, through manual data entry (that is slow, expensive and prone to errors), or through simple OCR software that requires manual configuration which needs to be updated each time the form changes to be usable.

To overcome these manual processes, AWS Textract uses machine learning to instantly read and process any type of document, accurately extracting printed text, handwriting, forms, tables and, other data without the need for any manual effort or custom code.

With AWS Textract you can quickly automate manual document activities, enabling you to process millions of document pages in hours. Once the information is captured, you can take action on it within your business applications to initiate next steps for a loan application, tax document, enrollment form or medical claims processing. Additionally, you can create smart search indexes, or add in human reviews with Amazon Augmented AI to review nuanced or sensitive data.

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[ankushkumar]

After implement event line of code we got a error "Exception in thread "main" Credentials must not be null" please suggest somting

[mastkhelbrothers]

Excellent tutorial and effort. May I get the link for python code? Secondly, if a searchable pdf is needed as an output, can you share your thoughts/code in python for that?

[Japan_Street_Treks]

Hi, can this service provide pdf as the output. same as the uploaded pdf .

[dayan]

Yes, a great tutorial, Thank you! But as an API, the last part that works with the response data structure makes no sense. If the structure is so generic, why would everyone have to deal with it? C'mon, you are Amazon and you can do much better than that! Can't you just enhance the API with an "iterate" method that takes a callback? I would be happier to use it if the API is more thoughtful.

[jojojojojojojo]

This is going to be really slow... You should not base this on java objects... that's only for junior devs