
Extract text and data from documents
Vendor
Amazon Web Services (AWS)
Company Website
Automatically extract printed text, handwriting, layout elements, and data from any document
Why Amazon Textract?
Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, layout elements, and data from scanned documents. It goes beyond simple optical character recognition (OCR) to identify, understand, and extract specific data from documents. Today, many companies manually extract data from scanned documents, such as PDFs, images, tables, and forms, or through simple OCR software that requires manual configuration (which often must be updated when the form changes). To overcome these manual and expensive processes, Amazon Textract uses ML to read and process any type of document, accurately extracting text, handwriting, tables, and other data with no manual effort. You can use one of our pretrained or custom features to quickly automate document processing, whether you’re automating loans processing or extracting information from invoices and receipts. Amazon Textract provides you the ability to customize our pretrained features to meet the document processing needs specific to your business. Amazon Textract can extract the data in minutes instead of hours or days.
Benefits of Amazon Textract
Drive efficiency and decision-making
Drive higher business efficiency and faster decision-making while reducing costs.
Key insights
Extract key insights with high accuracy from virtually any document.
Easily scale
Scale up or scale down the document processing pipeline to quickly adapt to market demands.
Automate data processing
Securely automate data processing with data privacy, encryption, and compliance standards.
Use cases
Financial services
Accurately extract critical business data such as mortgage rates, applicant names, and invoice totals across a variety of financial forms to process loan and mortgage applications in minutes.
Healthcare and life sciences
Better serve your patients and insurers by extracting important patient data from health intake forms, insurance claims, and pre-authorization forms. Keep data organized and in its original context, and remove manual review of output.
Public sector
Easily extract relevant data from government-related forms, such as small business loans, federal tax forms, and business applications, with a high degree of accuracy.