N0n ransomware targeting AFRICA-TECH (IT services/document processing) in Mali has fully stopped operations after encrypting or destroying shared client document repositories, including scans, attestations, insurance, and embassy files. Recovery is not possible without settlement, with all backups and shadow copies encrypted or destroyed. #Mali

Classifying, extracting, and validating high volumes of documents is a challenge across banking, insurance, healthcare, and the public sector. See how a mid-size mortgage lender automates its entire document intake pipeline, from email to validated data, using the AWS GAIIC IDP Accelerator and Amazon Quick Automate.

Explore best open source tools to design, build, deploy, secure, and scale a production-ready document processing pipeline on Linux.

In this post, we show how pairing Amazon Nova 2 Lite with Anthropic’s Claude Sonnet 4.6 delivers an efficient solution for digitizing scanned documents at scale. We built a two-model pipeline on Amazon Bedrock for digitizing scanned yearbook pages. Amazon Nova 2 Lite handles native multimodal extraction in a single call: detecting photos, extracting visible names with coordinates, and returning page-level metadata. Claude Sonnet 4.6 then performs spatial reasoning to match names to faces based on page layout.

This post outlines the development of a cost-effective and scalable intelligent document processing pipeline on AWS, powered by Amazon Bedrock and its features. BDA is a managed service within Amazon Bedrock that automates the extraction of insights from documents. We demonstrate how BDA extracts and analyzes document content, while Strands Agent hosted on Amazon Bedrock AgentCore Runtime coordinate specialized processing tasks, and Amazon Bedrock Knowledge Base enable contextual understanding across multiple documents. By combining these capabilities within a unified architecture, organizations can transform their document processing workflows with minimal development effort.

스캔한 문서나 이미지 속 글자를 편집 가능한 텍스트로 바꿀 때 어떤 프로그램을 쓰시나요? 많은 분들이 ABBYY FineReader를 떠올리십니다. 인식률이 뛰어나고 기능이 풍부한 건 사실이지만, 무거운 시스템 요구량이나 부담스러운 구독료 때문에 다른 선택지를 찾는 분들도 많으실

Artificial intelligence tools are beginning to assume complex administrative functions in small businesses, from document management to invoice processing, significantly reducing manual workload and operational costs.

Learn how ScaleCapacity helped the Contra Costa County District Attorney's Office build a Race-Blind Charging solution to help ensure fairness in the justice system.

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 […]

KDAN modernized its document management applications by integrating generative AI solutions on AWS, including Amazon Bedrock, speeding up the development of generative AI applications by 50%, enabling quicker market entry, and laying the foundation for expansion.

Learn how Papua New Guinea’s Immigration Services Authority worked with AWS Partner NiuPay to cut visa processing times to under 4 minutes and automate 95% of applications.

In this post, we explore how Onity Group, a financial services company specializing in mortgage servicing and origination, transformed their document processing capabilities using Amazon Bedrock and other AWS services. The solution helped Onity achieve a 50% reduction in document extraction costs while improving overall accuracy by 20% compared to their previous OCR and AI/ML solution.

Learn how Sansan, Inc. successfully built and launched an enterprise product that helps companies accurately digitize all their invoices.

A German firm is well on its way to sorting the insurance claims labyrinth with a hybrid on-premises and cloud AI solution.

Learn how Amazon Bedrock helped BDM transform document processing.

Find out how Data Reply and Mineko used AWS to build an AI tool for faster, cheaper document analysis.

In this post, we explore how Myriad Genetics partnered with the AWS Generative AI Innovation Center to transform their healthcare document processing pipeline using Amazon Bedrock and Amazon Nova foundation models, achieving 98% classification accuracy while reducing costs by 77% and processing time by 80%. We detail the technical implementation using AWS's open-source GenAI Intelligent Document Processing Accelerator, the optimization strategies for document classification and key information extraction, and the measurable business impact on Myriad's prior authorization workflows.

ICICI Prudential enhances the speed and efficiency of its underwriting and approval processes by harnessing the agility and machine learning capabilities of Vision API.

This blog share how if your agency is managing millions of unstructured documents, from eligibility records to case files, this post introduces how DMI Document AI, built on Amazon Bedrock, can help you automate document processing, reduce backlogs, and redirect your team toward higher-value mission work.

Automate data extraction and analysis from documents, improve employee productivity, and make faster decisions with AI-powered intelligent document processing from AWS

See how Cognizant developed a gen AI solution for key information extraction that cuts average processing times per document from 30 minutes to 30 seconds.