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Build well-architected IDP solutions with a custom lens – Part 1: Operational excellence

AWS Machine Learning Blog

The IDP Well-Architected 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 secure, efficient, and reliable IDP solutions on AWS. This post focuses on the Operational Excellence pillar of the IDP solution.

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Build a receipt and invoice processing pipeline with Amazon Textract

AWS Machine Learning Blog

The traditional approach of using human reviewers to extract the data is time-consuming, error-prone, and not scalable. In this post, we show how to automate the accounts payable process using Amazon Textract for data extraction. To learn more about IDP, refer to the IDP with AWS AI services Part 1 and Part 2 posts.

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How To Use AI To Automate Document Processing

Topbots

Switching from the old-school combo of OCR and basic NLP to the smarter duo of Intelligent Document Processing (IDP) and Large Language Models (LLMs) makes handling documents a breeze. IDP steps up the game. How They Come Together IDP analyzes the text, figuring out what’s important based on the document’s structure and content.

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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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Automate document validation and fraud detection in the mortgage underwriting process using AWS AI services: Part 1

AWS Machine Learning Blog

We walk through each of these stages and how they aid towards underwriting accuracy (initiated with capturing documents to classify and extract required content), detecting tampered documents, and finally using an ML model to detect potential fraud classified according to business-driven rules.

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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. The postprocessing component is capable of extracting data from complex, multi-format, multi-page PDF files with varying headers, footers, footnotes, and multi-column data.

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Intelligent Document Processing with AWS AI Services and Amazon Bedrock

ODSC - Open Data Science

With Intelligent Document Processing (IDP) leveraging artificial intelligence (AI), the task of extracting data from large amounts of documents with differing types and structures becomes efficient and accurate. The following diagram is how we visualize these IDP phases.

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