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Guidance for Accelerated Intelligent Document Processing on AWS

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Overview

This Guidance demonstrates a scalable, serverless approach for automated document processing and information extraction using AWS services, such as Amazon Bedrock Data Automation and Amazon Bedrock foundational models. It combines generative AI and optical character recognition (OCR) to process documents at scale. With this Guidance, organizations gain capabilities such as document classification, information extraction, summarization, and question answering. This helps to streamline document workflows while reducing manual processing time and costs.

Latest features: Stay current with the latest features and releases for this Guidance in the CHANGELOG.

 

Benefits

Deploy a scalable, serverless architecture that processes documents intelligently using generative AI models, reducing manual data extraction while maintaining accuracy through automated evaluation against baselines.

Track document status through a secure dashboard with real-time updates using AppSync and DynamoDB. Gain immediate visibility into processing metrics while maintaining authentication controls through Amazon Cognito.

Handle varying document volumes with managed concurrency through DynamoDB and SQS queues. The serverless architecture automatically adjusts resources based on demand, eliminating infrastructure management overhead.

How it works

These technical details feature an architecture diagram to illustrate how to effectively use this solution. The architecture diagram shows the key components and their interactions, providing an overview of the architecture's structure and functionality step-by-step.

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Deploy with confidence

Ready to deploy? Review the sample code on GitHub for detailed deployment instructions to deploy as-is or customize to fit your needs. 

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Disclaimer

The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.

References to third-party services or organizations in this Guidance do not imply an endorsement, sponsorship, or affiliation between Amazon or AWS and the third party. Guidance from AWS is a technical starting point, and you can customize your integration with third-party services when you deploy the architecture.