Automatic Data Entry Platform

An AI-powered document processing platform that extracts data from uploaded documents and populates Google Sheets automatically.

🌐 Live Demo: automatic-data-entry.vercel.app

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Features

• Google OAuth authentication
• Upload PDF and image documents
• AI-powered field extraction using OCR (Tesseract) and transformers
• Review and correct extracted data
• Export directly to Google Sheets
• Project-based document organization

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Tech Stack

Frontend

• React + TypeScript
• Deployed on Vercel

Backend

• FastAPI + SQLAlchemy (async)
• PostgreSQL database
• Redis job queue (Celery)
• Tesseract OCR + HuggingFace Transformers
• Deployed on Render

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Local Development

Prerequisites

• Python 3.12
• Node.js 18+
• Docker & Docker Compose
• Tesseract OCR

Setup

1. Clone the repo

   git clone https://github.com/MohammadAsjadKhan/Automatic-Data-Entry.git
   cd Automatic-Data-Entry

2. Start services

   docker-compose up -d

3. Backend

   cd dataentry/backend
   pip install -r requirements.txt
   alembic -c alembic/alembic.ini upgrade head
   uvicorn app.main:app --reload

4. Frontend

   cd dataentry/frontend
   npm install
   npm start

5. Environment variables

   cp dataentry/backend/.env.example dataentry/backend/.env
   # Fill in your values

Required Environment Variables

Variable	Description
DATABASE_URL	PostgreSQL connection string
REDIS_URL	Redis connection string
APP_SECRET_KEY	Random secret key
JWT_SECRET	JWT signing secret
GOOGLE_CLIENT_ID	Google OAuth client ID
GOOGLE_CLIENT_SECRET	Google OAuth client secret
GOOGLE_REDIRECT_URI	OAuth callback URL
HF_API_TOKEN	HuggingFace API token
FRONTEND_URL	Frontend base URL

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License

MIT