🖼️📄E2E Multi-modal Document Preprocessing with Azure Document Intelligence
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Updated
Oct 22, 2025 - Python
🖼️📄E2E Multi-modal Document Preprocessing with Azure Document Intelligence
A channel layer that turns any content requiring IDP — scans, photos, image PDFs, Office files, digital-born docs — into trustworthy structured data: OCR + Markdown + metadata + optional field extraction, exposed via REST / EventBus / MCP (Webhook planned) to downstream RAG platforms, business systems, and AI clients. Built on ABP.
Open-source project to support C# and .NET, with practical guide on how to programmatically open Excel file in .NET 6
Workshop for Azure OpenAI Service
This is a collection of various document parsers and hands-on to construct structured data for your RAG applications.
AI-Powered Web Application for Talent Search and CV Management
An application that automatically parses bank statements to visualize current income and spending compared to budgeting and savings targets
Azure Document Intelligence Result Processor: A toolset for annotating PDFs based on Azure Document Intelligence analysis results, featuring a React web application and a standalone Python script for processing and visualizing extracted data with confidence indicators.
Solución inteligente para la digitalización y gestión de facturas. Transforma documentos PDF no estructurados en datos SQL procesables mediante IA, optimizando el flujo de trabajo financiero.
OCR-enabled PDF text extraction in Python with pypdf and Azure Document Intelligence.
Frontend and Backend Web App for Receipt Splitting with Friends
Multi-agent parallel document extraction using Gemini LLM and Azure Document Intelligence OCR, running locally in Docker.
Scribbly - Convert your boring notes into interactive flashcards using Azure Text Analytics, Azure Document Intelligence
PDF extraction samples comparing Azure Document Intelligence (layout model) 🏢 vs Markitdown ✍️vs Apache Tika
🚀 Intelligent document extraction system powered by Azure AI & Gemini 2.5. Transform any form into structured JSON with real-time editing and enterprise-grade validation.
Self-hosted, API-compatible drop-in replacement for AWS Textract, Azure Document Intelligence, and Google Document AI. Runs a local/quantized VLM. ~16–40× cheaper. Docs never leave your machine.
Enterprise API for structured data extraction from financial PDFs — powered by Azure Document Intelligence and Spring AI
A simple Python Tk app to automate the process of uploading invoices to the Evelstar courier portal.
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