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Build a receipt and invoice processing pipeline with Amazon Textract

AWS Machine Learning Blog

In this post, we show how to automate the accounts payable process using Amazon Textract for data extraction. We also provide a reference architecture to build an invoice automation pipeline that enables extraction, verification, archival, and intelligent search. You can visualize the indexed metadata using OpenSearch Dashboards.

IDP 115
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Cost-effective document classification using the Amazon Titan Multimodal Embeddings Model

AWS Machine Learning Blog

Advances in generative artificial intelligence (AI) have given rise to intelligent document processing (IDP) solutions that can automate the document classification, and create a cost-effective classification layer capable of handling diverse, unstructured enterprise documents.

IDP 123
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Intelligent document processing with Amazon Textract, Amazon Bedrock, and LangChain

AWS Machine Learning Blog

Document processing has witnessed significant advancements with the advent of Intelligent Document Processing (IDP). With IDP, businesses can transform unstructured data from various document types into structured, actionable insights, dramatically enhancing efficiency and reducing manual efforts.

IDP 134
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Find answers accurately and quickly using Amazon Q Business with the SharePoint Online connector

AWS Machine Learning Blog

Automate workflows and tasks – Amazon Q can be configured to complete routine tasks and queries (such as generating status reports, answering FAQs, or requesting information) by interacting with the relevant SharePoint data and applications. Refer to Amazon Q Business SharePoint Online data source connector field mappings for more details.

IDP 104
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Dialogue-guided intelligent document processing with foundation models on Amazon SageMaker JumpStart

AWS Machine Learning Blog

Intelligent document processing (IDP) is a technology that automates the processing of high volumes of unstructured data, including text, images, and videos. Natural language processing (NLP) is one of the recent developments in IDP that has improved accuracy and user experience.

IDP 85
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How the UNDP Independent Evaluation Office is using AWS AI/ML services to enhance the use of evaluation to support progress toward the Sustainable Development Goals

AWS Machine Learning Blog

The postprocessing component uses bounding box metadata from Amazon Textract for intelligent data extraction. TextractAsyncSNSListener is an AWS Lambda function that handles the Amazon Textract job completion event, and returns the metadata back to the workflow for further processing.

ML 82
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Transform, analyze, and discover insights from unstructured healthcare data using Amazon HealthLake

AWS Machine Learning Blog

The rapid rate of data generation means that organizations that aren’t investing in document automation risk getting stuck with legacy processes that are manual, slow, error prone, and difficult to scale.