🖼️📄E2E Multi-modal Document Preprocessing with Azure Document Intelligence

Workshop for Azure OpenAI Service

AI-Powered Web Application for Talent Search and CV Management

This is a collection of various document parsers and hands-on to construct structured data for your RAG applications.

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.

Frontend and Backend Web App for Receipt Splitting with Friends

PDF extraction samples comparing Azure Document Intelligence (layout model) 🏢 vs Markitdown ✍️vs Apache Tika

Scribbly - Convert your boring notes into interactive flashcards using Azure Text Analytics, Azure Document Intelligence and Gemini AI

A Streamlit-based app with a FastAPI backend for extracting structured data (text, images, tables) from websites and PDFs. Processed data is stored in AWS S3 and rendered in a markdown-standardized format. APIs are deployed on Google Cloud Run Service

Este projeto é uma aplicação web desenvolvida com Streamlit que permite o upload de documentos (imagens e PDFs) para o Azure Blob Storage e realiza a análise de cartões de crédito utilizando a API de Document Intelligence da Azure.

self rag sample

Image to text extraction to AI to anki. Automation for creating anki cards from an image.

Uses OCR and PII detection models to mask PII in .tiff files. Configurable to use Azure and AWS OCR and PII detection models

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.

Serverless invoice extraction API using Azure Document Intelligence and Azure Functions. Upload a PDF invoice and receive normalized JSON output including line items, totals, dates, and vendor details.

A web application that combines Azure Document Intelligence and Google Gemini AI to process financial documents with intelligent chat capabilities.

A simple Python Tk app to automate the process of uploading invoices to the Evelstar courier portal.

Developed an intelligent Q&A system designed to extract answers from technical documents using natural language processing (NLP).