Data Extraction IDP LLM 
AWS Machine Learning Blog
MARCH 20, 2025
IDP is powering critical workflows across industries and enabling businesses to scale with speed and accuracy. Financial institutions use IDP to automate tax forms and fraud detection , while healthcare providers streamline claims processing and medical record digitization. billion in 2025 to USD 66.68
AWS Machine Learning Blog
JUNE 18, 2024
This represents a major opportunity for businesses to optimize this workflow, save time and money, and improve accuracy by modernizing antiquated manual document handling with intelligent document processing (IDP) on AWS. Data summarization using large language models (LLMs). These samples demonstrate using various LLMs.
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ODSC - Open Data Science
OCTOBER 27, 2023
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.
AWS Machine Learning Blog
NOVEMBER 13, 2024
The market size for multilingual content extraction and the gathering of relevant insights from unstructured documents (such as images, forms, and receipts) for information processing is rapidly increasing. We specifically used the Rhubarb Python framework to extract JSON schema -based data from the documents.
AWS Machine Learning Blog
OCTOBER 23, 2024
Agent Creator is a no-code visual tool that empowers business users and application developers to create sophisticated large language model (LLM) powered applications and agents without programming expertise. The IDP solution uses the power of LLMs to automate tedious document-centric processes, freeing up your team for higher-value work.
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