Select your cookie preferences

We use essential cookies and similar tools that are necessary to provide our site and services. We use performance cookies to collect anonymous statistics, so we can understand how customers use our site and make improvements. Essential cookies cannot be deactivated, but you can choose “Customize” or “Decline” to decline performance cookies.

If you agree, AWS and approved third parties will also use cookies to provide useful site features, remember your preferences, and display relevant content, including relevant advertising. To accept or decline all non-essential cookies, choose “Accept” or “Decline.” To make more detailed choices, choose “Customize.”

Skip to main content

Intelligent Document Processing

Bring generative AI-powered automation to document workflows

Streamline document processing with generative AI

The volume of unstructured data like documents, audio, video, and images is rapidly increasing. AWS Intelligent Document Processing (IDP) leverages optical character recognition (OCR), computer vision, natural language processing (NLP), and machine learning to automate processing this data. With the integration of large language models (LLMs) and generative AI capabilities, IDP can not only extract and classify information from unstructured data but also generate concise summaries and derive actionable insights. By leveraging the powerful language understanding and generation capabilities of LLMs, IDP provides higher-level abstractions and synthesizes information from multiple sources, enabling you to quickly grasp the essence of complex data repositories. Improve customer satisfaction, enhance operational efficiency, and drive better business performance through intelligent automation powered by generative AI. With ready-to-use APIs, IDP makes it easy to efficiently process unstructured data at scale, classify documents, extract critical information, validate insights, and generate insightful summaries and reports.

Benefits

Use cases

Explore how IDP can be leveraged across various industries to efficiently process unstructured data at scale.