Compliance control with document redactionīefore we get started with the use cases, let’s review and introduce some of the core features.Natural language processing for medical documents.Natural language processing and document classification.Multi-column detection and reading order.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. This post has been updated with the latest use cases and capabilities for Amazon Textract.ĭocuments are a primary tool for record keeping, communication, collaboration, and transactions across many industries, including financial, medical, legal, and real estate. September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service.
0 kommentar(er)
