For example, a bank could write code to read PDFs of loan applications. Form and table extraction and processingĪmazon Textract can provide the inputs required to automatically process forms and tables without human intervention. The GitHub repository shows some examples. "Id": "8136b2dc-37c1-4300-a9da-6ed8b276ea97"īy using Amazon Textract Response Parser, it’s easier to de-serialize the JSON response and use in your program, the same way Amazon Textract Helper and Amazon Textract PrettyPrinter use it. The easiest way to extract information from this document programmatically is through installing Amazon Textract Helper: ![]() The sample image isn’t good quality, but Amazon Textract can still detect the text with accuracy. We use the following image as an input document to Amazon Textract. We start with a simple example of how to detect text from a document. ![]() These packages are published to PyPI to speed up development and integration even further. We also use Amazon Textract Helper, Amazon Textract Caller, Amazon Textract PrettyPrinter, and Amazon Textract Response Parser for some of the following use cases. You can easily take advantage of Amazon Textract API operations using the AWS SDK to build power-smart applications. For more information, see the Amazon Textract API Reference. Asynchronous APIs can be used for multipage documents such as PDF or TIFF documents with thousands of pages. Synchronous APIs can be used for single-page documents and low-latency use cases such as mobile capture. It gives you control of how you consume extracted content and integrate it into various business applications.Īmazon Textract provides both synchronous and asynchronous API actions to extract document text and analyze the document text data. In addition to the detected content, Amazon Textract provides additional information like confidence scores and bounded boxes for detected elements. You can choose various formats, including raw JSON, text, and CSV files for forms and tables. zip file containing the output, choose Download results. The following images show an example document using Amazon Textract on the AWS Management Console on the Forms output tab. This allows you to use Amazon Textract to instantly read almost any type of document and accurately extract text and data without the need for any manual effort or custom code. Amazon Textract goes beyond simple optical character recognition (OCR) to also identify the contents of fields in forms, information stored in tables, handwritten text, and check boxes. PDF and multi-page TIFF document processingīefore we get started with the use cases, let’s review and introduce some of the core features.Compliance control with document redaction.Natural language processing for medical documents.Natural language processing and document classification.Multi-column detection and reading order.Extract information from invoices and receipts.Extract information from identity documents.Form and table extraction and processing. ![]() We cover the following use cases in this post: While AWS takes care of building, training, and deploying advanced ML models in a highly available and scalable environment, you take advantage of these models with simple-to-use API actions. In this post, we show how you can take advantage of Amazon Textract to automatically extract text and data from scanned documents without any machine learning (ML) experience. It usually requires time-consuming and complex processes to enable search and discovery, business process automation, and compliance control for these documents. A lot of information is locked in unstructured documents. The millions of mortgage applications and hundreds of millions of W2 tax forms processed each year are just a few examples of such documents. See details.ĭocuments are a primary tool for record keeping, communication, collaboration, and transactions across many industries, including financial, medical, legal, and real estate. September 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. September 2022: Post was reviewed for accuracy.ĭecember 2021: This post has been updated with the latest use cases and capabilities for Amazon Textract.
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