Amazon Textract now provides an updated text detection model that improves accuracy, expands language support, and enhances multilingual table extraction. The updated model applies to the DetectDocumentText and AnalyzeDocument APIs and requires no changes to your Amazon Textract API requests or response schema. Your applications are served by the updated model automatically, so you can continue calling Amazon Textract exactly as before. The updated model expands language coverage to more than 40 languages, including Albanian, Arabic, Basque, Belarusian, Bosnian, Bulgarian, Chinese (Simplified and Traditional), Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, German, Hebrew, Hindi, Hungarian, Icelandic, Italian, Japanese, Korean, Latvian, Lithuanian, Luxembourgish, Norwegian, Polish, Portuguese, Romanian, Russian, Serbian Cyrillic, Serbian Latin, Slovak, Slovenian, Spanish, Swedish, Turkish, Turkmen, and Ukrainian, enabling reliable processing of previously unsupported scripts. Accuracy improvements include enhanced long-word recognition and handwriting detection. Additionally, multilingual table extraction is more robust on merged cells, skewed or rotated tables, and partial or corrupted tables. These improvements help you accurately process invoices, forms, identity documents, and other multilingual or complex documents, including those with tables, at scale. The updated Amazon Textract model is available in all AWS Regions where Amazon Textract is available. To learn more, see the https://aws.amazon.com/textract/ and the https://docs.aws.amazon.com/textract/.

Amazon Textract now provides an updated text detection model that improves accuracy, expands language support, and enhances multilingual table extraction. The updated model applies to the DetectDocumentText and AnalyzeDocument APIs and requires no changes to your Amazon Textract API requests or response schema. Your applications are served by the updated model automatically, so you can continue calling Amazon Textract exactly as before. The updated model expands language coverage to more than 40 languages, including Albanian, Arabic, Basque, Belarusian, Bosnian, Bulgarian, Chinese (Simplified and Traditional), Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, German, Hebrew, Hindi, Hungarian, Icelandic, Italian, Japanese, Korean, Latvian, Lithuanian, Luxembourgish, Norwegian, Polish, Portuguese, Romanian, Russian, Serbian Cyrillic, Serbian Latin, Slovak, Slovenian, Spanish, Swedish, Turkish, Turkmen, and Ukrainian, enabling reliable processing of previously unsupported scripts. Accuracy improvements include enhanced long-word recognition and handwriting detection. Additionally, multilingual table extraction is more robust on merged cells, skewed or rotated tables, and partial or corrupted tables. These improvements help you accurately process invoices, forms, identity documents, and other multilingual or complex documents, including those with tables, at scale. The updated Amazon Textract model is available in all AWS Regions where Amazon Textract is available. To learn more, see the Amazon Textract product page and the Amazon Textract Developer Guide.

Textractアダプターのライフサイクル管理自動化戦略

はじめにAWSは様なAIサービスを提供していますそしてそれらのサービスはブラウザから簡単に試せるようになっています

Introduction Grading student works is a tedious and exhausting task for all teachers. Someone may say nowadays student works can be in digital form but nearly all schools keep using paper and pen for test and exam.

Amazon Textract is a managed machine learning service that automatically extracts text, handwriting, and data from any document or image. We regularly improve the underlying machine learning models based on customer feedback to provide even better accuracy. Today, we are pleased to announce feature and accuracy updates to the text detection model used in Textract DetectDocumentText and AnalyzeDocument APIs. This update adds support for superscripts, subscripts, and rotated text in documents. The update also includes accuracy improvements for text detection in box forms, extraction of visually similar character sets (e.g., ‘0’ vs. ‘O’), and lower-resolution documents such as faxes. This update is now available in US East (Ohio, N. Virginia), US West (N. California, Oregon), Asia Pacific (Mumbai, Seoul, Singapore, Sydney), Canada (Central), Europe (Frankfurt, Ireland, London, Paris, Spain), and AWS GovCloud (US-East, US-West) Regions. To get started, log on to the Amazon Textract console. To learn more about Textract capabilities, please visit the https://aws.amazon.com/textract/, https://docs.aws.amazon.com/textract/latest/dg/getting-started.html, or https://aws.amazon.com/textract/resources/.  

Amazon Textract is a managed machine learning service that automatically extracts text, handwriting, and data from any document or image. We regularly improve the underlying machine learning models based on customer feedback to provide even better accuracy. Today, we are pleased to announce feature and accuracy updates to the text detection model used in Textract DetectDocumentText and AnalyzeDocument APIs. This update adds support for superscripts, subscripts, and rotated text in documents. The update also includes accuracy improvements for text detection in box forms, extraction of visually similar character sets (e.g., ‘0’ vs. ‘O’), and lower-resolution documents such as faxes. This update is now available in US East (Ohio, N. Virginia), US West (N. California, Oregon), Asia Pacific (Mumbai, Seoul, Singapore, Sydney), Canada (Central), Europe (Frankfurt, Ireland, London, Paris, Spain), and AWS GovCloud (US-East, US-West) Regions. To get started, log on to the Amazon Textract console. To learn more about Textract capabilities, please visit the Amazon Textract website, developer guide, or resources page.

Amazon Textract automatically extracts text and data from scanned documents, and goes beyond simple optical character recognition (OCR) to also identify the contents of fields and information in tables, without templates, configuration, or machine learning experience required. Customers such as Intuit, PitchBook, Change Healthcare, Alfresco, and more are already using Amazon Textract to automate their […]

Carrier deploys its Abound Net Zero Management solution globally, using cloud services such as Amazon Bedrock and Amazon Textract to help customers around the world achieve sustainable outcomes.

In this post, we discuss how FMs can reliably automate the classification of insurance service emails through prompt engineering. When formulating the problem as a classification task, an FM can perform well enough for production environments, while maintaining extensibility into other tasks and getting up and running quickly. All experiments were conducted using Anthropic’s Claude models on Amazon Bedrock.

Discover how customers are using Amazon Textract today to automate document workflows, import data into existing business applications, and more.

Editor’s note: This is the third in a monthly series for Financial Services Industry Service Spotlight. Read Part 1 discussing Amazon SageMaker Notebook Instances. Read Part 2 discussing Amazon Comprehend (excluding Comprehend Medical). — Welcome to the Service Spotlight blog series. In this series, we plan to highlight five key considerations of a particular service […]

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