🖼️📄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
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
Scribbly - Convert your boring notes into interactive flashcards using Azure Text Analytics, Azure Document Intelligence and Gemini AI
🚀 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.
PDF extraction samples comparing Azure Document Intelligence (layout model) 🏢 vs Markitdown ✍️vs Apache Tika
Multi-agent parallel document extraction using Gemini LLM and Azure Document Intelligence OCR, running locally in Docker.
A dual-agent, feedback-driven document extraction system using GPT-5 and Azure Document Intelligence that automatically improves its own prompts, reducing manual rule updates and adapting to evolving business requirements.
Developed an intelligent Q&A system designed to extract answers from technical documents using natural language processing (NLP).
This library aims to provide a unified approach for representing generative AI components, and enable seamless integration and interoperability with AI services from various providers such as Azure OpenAI, Amazon, Google and Aliyun/Alicloud. Compatible to .NET standard 2.0 and .NET 8.0+.
Uses OCR and PII detection models to mask PII in .tiff files. Configurable to use Azure and AWS OCR and PII detection models
Image to text extraction to AI to anki. Automation for creating anki cards from an image.
self rag sample
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