GitHub topics: intelligent-document-processing
formkiq/formkiq-core
A full-featured Document Management Platform / Document Layer for your application, providing storage, discovery, processing, and retrieval. Deploys directly into your Amazon Web Services Cloud. Please 🌟 star to support our work!
Language: Java - Size: 13.4 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 128 - Forks: 18
aws-samples/sample-document-processing-with-amazon-bedrock-data-automation
This repository contains examples for customers to get started using Amazon Bedrock Data Automation. The samples focus mainly on document processing use cases
Language: Jupyter Notebook - Size: 9.09 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 5 - Forks: 2
awslabs/rhubarb
A Python framework for multi-modal document understanding with Amazon Bedrock
Language: Python - Size: 31.7 MB - Last synced at: 12 days ago - Pushed at: 16 days ago - Stars: 81 - Forks: 6
GrooperGuru/GrooperCSS
Boilerplate CSS that can be used with any Grooper DataModel
Language: CSS - Size: 86.9 KB - Last synced at: 6 days ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0
HK-Transfield/terraform-aws-gen-ai-idp
Intelligent document processing (IDP) with AWS generative AI services to automate information extraction from documents of different types and formats, without the need for machine learning skills.
Language: HCL - Size: 20.9 MB - Last synced at: 25 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
digiparser/digiparser-website
DigiParser | Extract data from documents and emails
Language: TypeScript - Size: 88.1 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
SimplePDF/pdf-ai-analyzer-with-robocorp
Leveraging the Robocorp integration to analyse customer feedback
Language: Python - Size: 7.81 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
