Build a Document Review App in 3 Hours (Python, React, Azure)
Want to start freelancing? Let me help: https://go.datalumina.com/UkBi5tn Want to learn real AI Engineering? Go here: https://go.datalumina.com/X4w5nLM 🔗 Link to docs and GitHub repository https://learn.datalumina.com/docs/invoice-review Writing AI prompts all day? 🎙Try Glaido, the #1 voice dictation app for developers: https://get.glaido.com/dave ⏱️ Timestamps 00:00 Build a document review app 00:47 Project resources and what you will build 04:13 The client brief 08:04 Clone the repository and inspect the sample data 09:26 The application architecture 11:00 Set up the local project 14:15 Azure basics and the Azure CLI 19:18 Set up Azure Document Intelligence 25:17 Extract data from an invoice 36:25 Set up Azure AI Foundry and Azure OpenAI 53:09 Classify invoices and receipts 01:18:19 Extract structured invoice data 01:21:21 Add finance validation rules 01:38:43 Build the frontend 01:41:21 Add the FastAPI API and SQLite database 01:49:02 Run the full application locally 01:53:18 Process an invoice in the app 02:02:08 Build the complete review workflow 02:14:57 Prepare the Azure deployment 02:17:13 Deploy with Azure Container Apps 02:25:40 Verify the live application and storage 02:32:54 Deployment checklist and production considerations 02:37:00 Wrap up 📌 Description In this video I break down an end-to-end document review application for invoice and receipt processing, from the original client brief through the backend, frontend, and Azure deployment. The app lets a finance user upload PDFs or images, classify them as invoices or receipts, extract data with Azure Document Intelligence and Azure OpenAI, apply validation rules, suggest a general ledger account, and track review history.I also cover the project structure and setup, including a monorepo with separate backend and frontend folders, Python and Node environment setup, and the use of AI coding agents to build services, schemas, and pipeline steps. The video ends with the Azure deployment flow, including resource groups, model deployments, secrets, environment variables, a Docker-based production setup, and container app hosting with password-protected login. 👋🏻 About Me Hi! I'm Dave, AI Engineer and founder of Datalumina®. On this channel, I share practical tutorials that teach developers how to build production-ready AI systems that actually work in the real world. Beyond these tutorials, I also help people start successful freelancing careers. Check out the links above to learn more!
