Invoice Data Extractor

Live Demo

Project: Automated Invoice Data Extraction and CSV Generation
Objective: To develop an automated system that extracts key information from various invoice formats and generates a structured CSV file for efficient data management and analysis.

---

Table of Contents

1. Features
2. Architecture / Tech Stack
3. Installation
4. Usage
5. Project Structure
6. Contributing
7. License
8. Acknowledgements

---

Features

• Upload invoice documents (PDF, image, etc.)
• Automatically detect and parse key fields (e.g. Invoice Number, Date, Vendor, Line Items, Totals)
• Data validation and error handling
• Export parsed data into a structured CSV format
• Support for multiple invoice layouts / templates
• Web interface + backend API integration

---

Architecture / Tech Stack

Layer	Technology / Library
Frontend / Web UI	HTML, CSS, JavaScript
Backend / Server	Node.js, Express
Parsing / OCR / Extraction	(e.g. Tesseract, PDF parsing libs, custom logic)
Data Output	CSV file generation
Deployment / Hosting	(e.g. Vercel, Heroku, etc.)

Note: You may replace or extend the OCR / parsing logic modules depending on invoice complexity, languages, or image quality.

---

Installation

These instructions assume you have Node.js and npm installed.

1. Clone this repository

   git clone https://github.com/Deep-Bhanushali/Invoice-Data-Extractor.git
   cd Invoice-Data-Extractor

Install dependencies

bash Copy code npm install (Optional) Configure any environment variables Create a .env file (if your app uses environment variables) and set values, e.g.:

text Copy code PORT=3000 UPLOAD_DIR=uploads/ Start the server

npm start

Or, for development with live reload (if configured):

npm run dev