AWS Machine Learning Blog

OCTOBER 23, 2024

Automate intelligent document processing (IDP) – Agent Creator can extract valuable data from invoices, purchase orders, resumes, insurance claims, loan applications, and other unstructured sources automatically. Use cases You can use the SnapLogic Agent Creator for many different use cases.

Generative AI 80

Generative AI IDP LLM Automation 80

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.

IDP 98

IDP LLM Large Language Models Data Science 98

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. A predefined JSON schema can be provided to the Rhubarb API, which makes sure the LLM generates data in that specific format.

IDP 98

IDP Machine Learning Python ML 98

AWS Machine Learning Blog

FEBRUARY 21, 2025

The variety of documents in this patient package demonstrates how a modern intelligent document processing solution must be flexible enough to handle different levels of document structure while maintaining consistency and accuracy in data extraction. The following diagram illustrates the solution workflow.

Categorization 87

Categorization IDP Generative AI Automation 87

Topbots

APRIL 4, 2024

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.

Automation 59

Automation IDP NLP Natural Language Processing 59

AWS Machine Learning Blog

MAY 24, 2023

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.

Automation 84

Automation Computer Vision Data Extraction IDP 84

AWS Machine Learning Blog

MARCH 29, 2023

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.

ML 85

ML Metadata Data Ingestion Data Extraction 85

AWS Machine Learning Blog

JUNE 12, 2024

By using the advanced natural language processing (NLP) capabilities of Anthropic Claude 3 Haiku, our intelligent document processing (IDP) solution can extract valuable data directly from images, eliminating the need for complex postprocessing.

IDP 128

IDP NLP Natural Language Processing Generative AI 128

AWS Machine Learning Blog

JUNE 26, 2024

Intelligent document processing (IDP) applies AI/ML techniques to automate data extraction from documents. Using IDP can reduce or eliminate the requirement for time-consuming human reviews. IDP has the power to transform the way capital market back-office operations work.

Automation 112

Automation IDP ML AI 112

AWS Machine Learning Blog

JULY 18, 2024

Enterprise customers can unlock significant value by harnessing the power of intelligent document processing (IDP) augmented with generative AI. By infusing IDP solutions with generative AI capabilities, organizations can revolutionize their document processing workflows, achieving exceptional levels of automation and reliability.

IDP 130

IDP Generative AI Data Extraction Automation 130

AWS Machine Learning Blog

DECEMBER 17, 2024

Developers face significant challenges when using foundation models (FMs) to extract data from unstructured assets. This data extraction process requires carefully identifying models that meet the developers specific accuracy, cost, and feature requirements.

Automation 109

Automation IDP Generative AI Data Extraction 109