Open-source document management platform leveraging AWS managed services. RESTful API for document storage, processing, full-text search, and metadata management. Multi-tenant serverless architecture with auto-scaling... deployed entirely in your AWS account.

Open-source toolkit to extract structured knowledge graphs from documents and tables — power analytics, digital twins, and AI-driven assistants.

A Python framework for multi-modal document understanding with Amazon Bedrock

End-to-end Intelligent Document Processing (IDP) pipeline using Amazon Bedrock, LanceDB, Lambda, Strands Agents, and Step Functions. Supports multimodal document analysis for PDFs, images, videos, and audio.

This repository contains examples for customers to get started using Amazon Bedrock Data Automation. The samples focus mainly on document processing use cases

GDocz by Gramosoft is an open-source Intelligent Document Processing platform that turns raw PDFs and images into clean, structured JSON — powered by multi-engine OCR and AI-driven schema extraction.

NeuroDoc is a powerful AI-based offline document summarization tool that leverages OCR and NLP to intelligently analyze PDFs and generate structured summaries. Built using Flask, this tool is designed to run completely offline and supports both text-based and scanned/image-based documents.

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.

This open-source project provides a serverless solution for automated identity document processing (IDP) using Amazon Bedrock's Claude-3 model. The solution creates an end-to-end pipeline that processes identity documents, particularly optimized for birth certificates, by automatically extracting relevant information.

AI-powered Gov. ID classifier using OCR, BERT, ResNet, and LayoutLMv3 for Aadhar, PAN, Passport, and other scanned IDs.

Boilerplate CSS that can be used with any Grooper DataModel

Open-source invoice-to-pay agent for AP automation: OCR/VLM extraction, 3-way matching, approvals, fraud checks, ERP mock posting, evals, and audit logs.

AI-powered Intelligent Document Processing (IDP) system with RAG, anomaly detection, and natural language insights. Local, zero-cost alternative to AWS Textract + Bedrock.

Leveraging the Robocorp integration to analyse customer feedback

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.

this repo contains repo for AWS BedRock DataAutomation.

LLM-powered Intelligent Document Processing platform built with FastAPI microservices, Docker, React frontend, and Mistral LLM integration and structured data extraction.

Project Repository for Problem 1(b) of Adobe Hackathon 2025

Open-source MCP server for Intelligent Document Processing on LandingAI ADE. Ingest, classify, stack, and extract documents with page-level provenance and confidence. Works with Claude, Lyzr, LangGraph, CrewAI, and Databricks. Built for regulated finance & healthcare. Apache-2.0.

A working AI agent that triages invoices end to end on LangGraph: extracts fields from raw text, validates against business rules, self-corrects, and posts to a mock ERP. Includes a held-out eval with real numbers. A winder.ai demo.