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Build well-architected IDP solutions with a custom lens – Part 3: Reliability

AWS Machine Learning Blog

The IDP Well-Architected Custom Lens is intended for all AWS customers who use AWS to run intelligent document processing (IDP) solutions and are searching for guidance on how to build a secure, efficient, and reliable IDP solution on AWS. This post focuses on the Reliability pillar of the IDP solution.

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Build end-to-end document processing pipelines with Amazon Textract IDP CDK Constructs

AWS Machine Learning Blog

Intelligent document processing (IDP) with AWS helps automate information extraction from documents of different types and formats, quickly and with high accuracy, without the need for machine learning (ML) skills. This is where IDP on AWS comes in. These challenges are only magnified as teams deal with large document volumes.

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Implement smart document search index with Amazon Textract and Amazon OpenSearch

AWS Machine Learning Blog

The implementation used in this post utilizes the Amazon Textract IDP CDK constructs – AWS Cloud Development Kit (CDK) components to define infrastructure for Intelligent Document Processing (IDP) workflows – which allow you to build use case specific customizable IDP workflows. Testing First test using a sample file.

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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.

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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.

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Intelligent Document Processing with AWS AI Services and Amazon Bedrock

ODSC - Open Data Science

While the industry has been able to achieve some amount of automation through traditional OCR tools, these methods have proven to be brittle, expensive to maintain, and add to technical debt. The following diagram is how we visualize these IDP phases. It often involves manual labor taking time away from critical activities.

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Multilingual content processing using Amazon Bedrock and Amazon A2I

AWS Machine Learning Blog

The global intelligent document processing (IDP) market size was valued at $1,285 million in 2022 and is projected to reach $7,874 million by 2028 ( source ). We specifically used the Rhubarb Python framework to extract JSON schema -based data from the documents.

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