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The IDP Accelerator provides 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.
| Date | Stars |
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| 2026-07-31 | 283 |
| 2026-08-04 | 285 |
| 2026-08-06 | 285 |
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growth rate 0.00%/day
# Gen AI Intelligent Document Processing (GenAIIDP)
Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
SPDX-License-Identifier: MIT-0
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**Questions?** [](https://deepwiki.com/aws-solutions-library-samples/accelerated-intelligent-document-processing-on-aws)
📖 **[Browse the Documentation Site](https://aws-solutions-library-samples.github.io/accelerated-intelligent-document-processing-on-aws/)** — searchable, with sidebar navigation
## Table of Contents
- [Gen AI Intelligent Document Processing (GenAIIDP)](#gen-ai-intelligent-document-processing-genaiidp)
- [Table of Contents](#table-of-contents)
- [Introduction](#introduction)
- [Alternative Implementations](#alternative-implementations)
- [Key Features](#key-features)
- [Architecture Overview](#architecture-overview)
- [Quick Start](#quick-start)
- [Processing Your First Document](#processing-your-first-document)
- [Method 1: Web UI (Interactive)](#method-1-web-ui-interactive)
- [Method 2: Direct S3 Upload (Simple)](#method-2-direct-s3-upload-simple)
- [Method 3: IDP CLI (Batch/Programmatic)](#method-3-idp-cli-batchprogrammatic)
- [Updating an Existing Deployment](#updating-an-existing-deployment)
- [Detailed Documentation](#detailed-documentation)
- [Core Documentation](#core-documentation)
- [Processing Modes](#processing-modes)
- [Python Development](#python-development)
- [Planning \& Operations](#planning--operations)
- [Contributing](#contributing)
- [License](#license)
## Introduction
A scalable, serverless solution for automated document processing and information extraction using AWS services. This system combines OCR capabilities with generative AI to convert unstructured documents into structured data at scale.
https://github.com/user-attachments/assets/fc2652b5-a9cc-42d7-9975-887c8320a2f5
Concierge support for customization, deployment, and integration of production use cases is available through [AWS Professional Services](https://aws.amazon.com/professional-services/).
## Alternative Implementations
**Prefer AWS CDK?** This solution is also available as [GenAI IDP Accelerator for AWS CDK](https://github.com/cdklabs/genai-idp), providing the same functional capabilities through AWS CDK constructs for customers who prefer Infrastructure-as-Code with CDK.
**Prefer Terraform?** This solution is also available as [GenAI IDP Terraform](https://github.com/awslabs/genai-idp-terraform), providing the same functional capabilities as a Terraform module that integrates with existing infrastructure and supports customization through module variables.
## Key Features
- **Serverless Architecture**: Built entirely on AWS serverless technologies including Lambda, Step Functions, SQS, and DynamoDB
- **Modular, pluggable patterns**: Pre-built processing patterns using state-of-the-art models and AWS services
- **Command Line Interface**: Programmatic batch processing with evaluation framework, analytics integration, and interactive Agent Chat
- **Advanced Classification**: Support for page-level and holistic document packet classification
- **Few Shot Example Support**: Improve accuracy through example-based prompting
- **Custom Business Logic Integration**: Inject custom prompt generation logic via Lambda functions for specialized document processing
- **High Throughput Processing**: Handles large volumes of documents through intelligent queuing
- **Built-in Resilience**: Comprehensive error handling, retries, and throttling management
- **Cost Optimization**: Pay-per-use pricing model with buExcerpt of 15,878 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
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