{"id":43,"date":"2020-08-17T07:53:40","date_gmt":"2020-08-17T07:53:40","guid":{"rendered":"https:\/\/machine-learning.webcloning.com\/2020\/08\/17\/amazon-textract-now-available-in-asia-pacific-mumbai-and-eu-frankfurt-regions\/"},"modified":"2020-08-17T07:53:40","modified_gmt":"2020-08-17T07:53:40","slug":"amazon-textract-now-available-in-asia-pacific-mumbai-and-eu-frankfurt-regions","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2020\/08\/17\/amazon-textract-now-available-in-asia-pacific-mumbai-and-eu-frankfurt-regions\/","title":{"rendered":"Amazon Textract now available in Asia Pacific (Mumbai) and EU (Frankfurt) Regions\u00a0"},"content":{"rendered":"<div id=\"\">\n<p>You can now use <a href=\"https:\/\/aws.amazon.com\/textract\/\" target=\"_blank\" rel=\"noopener noreferrer\">Amazon Textract<\/a>, a machine learning (ML) service that quickly and easily extracts text and data from forms and tables in scanned documents, for workloads in the AWS Asia Pacific (Mumbai) and EU (Frankfurt) Regions.<\/p>\n<p>Amazon Textract goes beyond simple optical character recognition (OCR) to identify the contents of fields in forms, information stored in tables, and the context in which the information is presented. The Amazon Textract API supports multiple image formats like scans, PDFs, and photos, and you can use it with other AWS ML services like <a href=\"https:\/\/aws.amazon.com\/comprehend\/\" target=\"_blank\" rel=\"noopener noreferrer\">Amazon Comprehend<\/a>, <a href=\"https:\/\/aws.amazon.com\/comprehend\/medical\/\" target=\"_blank\" rel=\"noopener noreferrer\">Amazon Comprehend Medical<\/a>, <a href=\"https:\/\/aws.amazon.com\/augmented-ai\/?nc2=h_ql_prod_ml_aai\" target=\"_blank\" rel=\"noopener noreferrer\">Amazon Augmented AI<\/a>, and <a href=\"https:\/\/aws.amazon.com\/translate\/\" target=\"_blank\" rel=\"noopener noreferrer\">Amazon Translate<\/a> to derive deeper meaning from the extracted text and data. You can also use this text and data to build smart searches on large archives of documents, or load it into a database for use by applications, such as accounting, auditing, and compliance software.<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-14746 size-full\" src=\"https:\/\/d2908q01vomqb2.cloudfront.net\/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59\/2020\/08\/11\/mumbai-frankfurt.jpg\" alt=\"\" width=\"350\" height=\"350\"><\/p>\n<p>An in-country infrastructure is critical for customers with data residency requirements and regulations, such as those operating in government, insurance, healthcare, and financial services. With this launch, customers in the AWS Asia Pacific (Mumbai) and EU (Frankfurt) Regions can benefit from Amazon Textract while complying with data residency requirements and integrating with other services and applications available in these Regions.<\/p>\n<p>Perfios is a leading product technology company enabling businesses to aggregate, curate, and analyze structured and unstructured data to help in decision-making. \u201cWe have been testing Amazon Textract since its early days and are very excited to see it launch in India to help us address data sovereignty requirements for the region, which now unblocks us to use it at scale,\u201d says Ramgopal Cillanki, Vice President, Head of Engineering at Perfios Software. \u201cWe believe that the service will help to transform the banking, financial services, and insurance (BFSI) industry from operations-heavy, human-in-the-loop processes to machine learning-powered API automation with minimal manual operations. Textract will not only help us reduce lenders\u2019 decision-making turnaround time but also create business impact for our end-users in the long run.\u201d<\/p>\n<p>For more information about Amazon Textract and its Region availability, see <a href=\"https:\/\/aws.amazon.com\/textract\/faqs\/\" target=\"_blank\" rel=\"noopener noreferrer\">Amazon Textract FAQs<\/a>. To get started with Amazon Textract, see the <a href=\"https:\/\/docs.aws.amazon.com\/textract\/latest\/dg\/what-is.html\" target=\"_blank\" rel=\"noopener noreferrer\">Amazon Textract Developer Guide<\/a>.<\/p>\n<hr>\n<h3>About the Author<\/h3>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"alignleft size-full wp-image-14737\" src=\"https:\/\/d2908q01vomqb2.cloudfront.net\/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59\/2020\/08\/11\/raj-copparapu-100.jpg\" alt=\"\" width=\"100\" height=\"135\">Raj Copparapu is a Product Manager focused on putting machine learning in the hands of every developer.<\/p>\n<p>\u00a0<\/p>\n<p>\u00a0<\/p>\n<p>\u00a0<\/p>\n<p>\u00a0<\/p>\n<\/p><\/div>\n","protected":false},"excerpt":{"rendered":"<p>https:\/\/aws.amazon.com\/blogs\/machine-learning\/amazon-textract-now-available-in-asia-pacific-mumbai-and-eu-frankfurt-regions\/<\/p>\n","protected":false},"author":1,"featured_media":44,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[3],"tags":[],"_links":{"self":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/43"}],"collection":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/comments?post=43"}],"version-history":[{"count":0,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/43\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media\/44"}],"wp:attachment":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media?parent=43"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/categories?post=43"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/tags?post=43"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}