Topic: "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: 20.4 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 129 - Forks: 19

awslabs/rhubarb
A Python framework for multi-modal document understanding with Amazon Bedrock
Language: Python - Size: 31.9 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 90 - Forks: 9

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: 8 days ago - Pushed at: about 2 months ago - Stars: 9 - Forks: 5

GrooperGuru/GrooperCSS
Boilerplate CSS that can be used with any Grooper DataModel
Language: CSS - Size: 86.9 KB - Last synced at: 1 day ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

krishachikka/Intelligent_Document_Processing Fork of anjali76Codes/Intelligent_Document_Processing
SealSure is an AI-powered tool for real-time document validation and forgery detection. Built with MERN, FastAPI, and OCR/NLP models, it helps extract, analyze, and verify data from scanned or image-based documents efficiently.
Language: JavaScript - Size: 25.2 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - 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: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

msaleme/mulesoft-idp-projects
🤖 MuleSoft Intelligent Document Processing (IDP) Projects - Automated document processing workflows with Salesforce & NetSuite integrations. Features purchase order processing, driver license extraction, and comprehensive error handling. Built with MuleSoft 4.6.2 & API-led connectivity patterns.
Language: Shell - Size: 44.9 KB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

rahuldongre-us/idp-bedrock
An end-to-end serverless pipeline for Intelligent Document Processing (IDP) using Amazon Bedrock and Anthropic Claude 3 Sonnet. This project extracts structured data from scanned documents (e.g., PDFs, forms, invoices) using GenAI models, and stores results in a scalable cloud-native architecture.
Language: Python - Size: 916 KB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - 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: 2 months ago - Pushed at: 3 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: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
