Smart Document Processing System

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Overview

This project is a full-stack document processing system that ingests business documents (Invoices & Purchase Orders), extracts structured data, validates it, and provides an interactive interface for review and correction.

The system is designed to handle real-world imperfect data, including OCR-based inputs.

Input Data

• PDF documents (clean and semi-structured)
• Images (including messy / OCR-like)
• CSV files (structured)
• TXT files (semi-structured)

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Tech Stack

Frontend

• React
• Axios

Backend

• Node.js
• Express

Database

• MongoDB (Mongoose)

OCR

• Tesseract.js

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Setup Instructions

1. Clone the repository

git clone https://github.com/laststonedjs/smart-document-system.git

2. Backend Setup
cd server
npm install

Create .env file:

MONGO_URI=mongodb_connection_string
PORT=5000

Run server:
npm run dev

3. Frontend Setup
cd client/smart-document
npm install
npm run dev

Frontend runs on:
http://localhost:5173

Backend runs on:
http://localhost:5000

API Endpoints Upload

POST /api/upload/pdf
POST /api/upload/image
POST /api/upload/txt
POST /api/upload/csv

Documents

GET /api/documents
POST /api/documents
PUT /api/documents/:id

Example Workflow

• Upload document
• System extracts raw text
• Data is structured and validated
• Issues are highlighted
• User edits incorrect fields
• Document is saved and marked as validated

Notes

• Some test documents contain intentional errors
• The system is designed to detect and report inconsistencies

Future Improvements

• Due date parsing
• Authentication system
• Role-based review workflow
• Better OCR accuracy tuning
• Export (PDF, CSV, Excel)

AI Usage

AI tools (ChatGPT, Gemini AI) were used for:

• Debugging
• Googling things
• Code optimization

All implementation details are fully understood.

Live App: (https://smart-document-system-zeta.vercel.app/)