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Excel ⇄ PostgreSQL + Document Processor πŸš€

A powerful full-stack application for seamless data import/export between Excel/JSON files and PostgreSQL, plus intelligent document processing with advanced text chunking and metadata enrichment.

Transform your data workflows with automatic type detection, customizable previews, and production-ready performance.

🎯 Key Highlights

  • πŸš€ One-Command Setup - Docker Compose launches everything
  • πŸ”„ Bidirectional Flow - Import Excel/JSON β†’ PostgreSQL β†’ Export Excel/JSONL
  • πŸ€– Smart Type Detection - Automatic inference of 6 data types
  • πŸ“Š Live Preview - Edit columns, types, and table names before import
  • πŸ“š Document AI - OCR, chunking, metadata extraction (15+ fields)
  • πŸ”’ Production Ready - Transaction safety, SQL injection prevention, CORS
  • ⚑ High Performance - 10K-50K rows/sec bulk insert

✨ Features

πŸ“₯ Excel Import

  • Upload Excel files with drag & drop
  • Automatic type detection (TEXT, INTEGER, FLOAT, BOOLEAN, DATE, TIMESTAMP)
  • Preview with editable columns
  • Customize table names
  • Bulk import with transaction safety

πŸ“Š JSON Import

  • Upload JSON files (.json) or JSONL (.jsonl)
  • Support for JSON arrays and JSON Lines format
  • Automatic type detection for all fields
  • Preview with editable columns
  • Direct import to PostgreSQL

πŸ“€ Excel Export

  • Export any PostgreSQL table to Excel
  • Custom column name mapping
  • Support for Excel (.xlsx) and JSONL formats
  • Batch processing for large tables
  • Real-time progress tracking

πŸ“š Document Processing

  • Upload: PDF, Text, Images (with OCR + Arabic support)
  • Chunk: 5 intelligent strategies
    • Character-based (fixed size)
    • Recursive (structure-aware) ⭐ Recommended
    • Sentence-based
    • Paragraph-based
    • Markdown-aware
  • Metadata: 15+ fields per chunk
    • Language detection (English, Arabic, mixed)
    • Readability score (0-100)
    • Content analysis (URLs, numbers)
    • OCR confidence
    • Navigation links (prev/next)
  • Storage: Create new or add to existing tables
  • Query: Filter by file, language, readability

πŸ—οΈ Architecture

Frontend (Next.js - Port 3000)
    ↓
Backend (Fastify - Port 3001)
    β”œβ”€β”€ Excel routes (upload, preview, import, export)
    β”œβ”€β”€ JSON routes (upload, preview, import)
    β”œβ”€β”€ Document routes (upload, extract, chunk, save)
    └── Chunk management (query, statistics)
    ↓
PostgreSQL Database

πŸ“‹ Tech Stack

Layer Technology
Frontend Next.js 14, React 18, Tailwind CSS, TypeScript
Backend Fastify, Node.js, TypeScript
Document Processing PDF.js, Tesseract.js, sentence-splitter, wink-nlp
Database PostgreSQL 12+
Type Detection Custom inference engine

πŸš€ Quick Start

Option 1: Docker Compose (Recommended) ⭐

Get up and running in under 2 minutes:

# Clone the repository
git clone https://github.com/4karam/DP.git
cd DP

# Start all services
docker-compose up --build

That's it! Open http://localhost:3000 in your browser.

Services automatically started:

Option 2: Local Development (3 steps)

Step 1: Install Dependencies

# Backend
cd backend && npm install

# Frontend
cd frontend && npm install

Step 2: Start Services

# Terminal 1: Backend (port 3001)
cd backend && npm run dev

# Terminal 2: Frontend (port 3000)
cd frontend && npm run dev

Step 3: Open Application

http://localhost:3000

Features Available

  • πŸ“₯ Import Excel - Excel to PostgreSQL
  • πŸ“‹ Import JSON - JSON/JSONL to PostgreSQL
  • πŸ“€ Export Table - PostgreSQL to Excel/JSONL
  • πŸ“š Process Documents - PDF/Text/Images with chunking

πŸ“š Documentation

Document Purpose
START_HERE.md 3-step quick start
QUICK_RUN_GUIDE.md Complete setup guide
SETUP.md Environment configuration
ARCHITECTURE.md System design details
BACKEND_INTEGRATION_GUIDE.md Backend architecture
FRONTEND_QUICK_REFERENCE.md Frontend components
INTEGRATION_COMPLETE.md Integration status
RUN_COMMANDS.sh Copy-paste commands

βš™οΈ Environment Setup

Prerequisites for Docker (Recommended)

  • Docker
  • Docker Compose
  • 4GB free disk space

Prerequisites for Local Development

  • Node.js 18+
  • PostgreSQL 12+
  • 2GB free disk space

Backend Configuration (.env)

DATABASE_URL=postgresql://excel_user:excel_password@postgres:5432/excel_import
PORT=3001
HOST=0.0.0.0
CORS_ORIGIN=http://localhost:3000
MAX_FILE_SIZE=52428800
NODE_ENV=production

Frontend Configuration (.env.local)

NEXT_PUBLIC_API_URL=http://localhost:3001

Docker Services

When using docker-compose up:

Service Port URL Purpose
Frontend 3000 http://localhost:3000 Next.js application
Backend 3001 http://localhost:3001 Fastify API server
PostgreSQL 5432 localhost:5432 Database
pgAdmin 5050 http://localhost:5050 Database management

Docker Compose commands:

# Start all services (with rebuild)
docker-compose up --build

# Start services in background
docker-compose up -d

# Stop all services
docker-compose down

# View logs
docker-compose logs -f [service-name]

# Remove volumes and data
docker-compose down -v

🎯 Usage Workflows

πŸ“₯ Excel Import (4 Steps)

1. Upload File     β†’ Drag & drop .xlsx file
2. Preview Data    β†’ Auto-detect types (TEXT, INT, FLOAT, BOOLEAN, DATE, TIMESTAMP)
3. Customize       β†’ Edit column names, types, select/deselect columns
4. Import          β†’ Bulk insert to PostgreSQL with transaction safety

πŸ“‹ JSON Import (4 Steps)

1. Upload File     β†’ .json (array) or .jsonl (line-delimited)
2. Preview Data    β†’ Auto-detect types and structure
3. Customize       β†’ Edit columns and table name
4. Import          β†’ Direct PostgreSQL insert

πŸ“€ Export to Excel/JSONL (4 Steps)

1. Select Table    β†’ Choose from your PostgreSQL tables
2. Review Schema   β†’ Preview columns and data types
3. Map Columns     β†’ Customize output column names
4. Download        β†’ Get .xlsx or .jsonl file

πŸ“š Document Processing (5 Steps)

1. Upload          β†’ PDF, .txt, or image (PNG/JPG with OCR)
2. Extract Text    β†’ Parse document content
3. Choose Strategy β†’ Character, Recursive, Sentence, Paragraph, or Markdown
4. Configure       β†’ Set chunk size, overlap, metadata options
5. Store & Query   β†’ Save to PostgreSQL with 15+ metadata fields

Supported Metadata:

  • Language detection (English/Arabic/Mixed)
  • Readability score (0-100)
  • Content analysis (URLs, numbers, hashtags)
  • OCR confidence (for images)
  • Navigation (prev/next chunk links)

πŸ”Œ API Endpoints

Excel Import/Export

POST   /api/upload              β†’ Upload Excel
POST   /api/preview             β†’ Preview data
POST   /api/import              β†’ Import to DB
GET    /api/export/tables       β†’ List tables
POST   /api/export/schema       β†’ Get schema
POST   /api/export/approve-keys β†’ Confirm mapping
POST   /api/export/process      β†’ Generate file
GET    /api/export/download/:id β†’ Download

JSON Import

POST   /api/json/upload         β†’ Upload JSON
POST   /api/json/preview        β†’ Preview data
POST   /api/json/import         β†’ Import to DB

Document Processing

POST   /api/documents/upload    β†’ Upload file
POST   /api/documents/extract   β†’ Extract text
POST   /api/documents/chunk     β†’ Create chunks
GET    /api/documents/tables    β†’ List tables
POST   /api/documents/save      β†’ Save chunks

Chunk Queries

GET    /api/chunks?tableId=...            β†’ Query chunks
GET    /api/chunk-stats?tableId=...       β†’ Statistics
POST   /api/create-chunk-table            β†’ Create table
POST   /api/insert-chunks                 β†’ Insert chunks

πŸ”’ Security

βœ… SQL injection prevention (parameterized queries) βœ… File type validation βœ… File size limits (50MB) βœ… CORS protection βœ… Transaction safety βœ… Automatic input sanitization

πŸ“Š Performance

Operation Speed
Small Excel (< 5MB) < 2 seconds
Medium Excel (5-50MB) 2-5 seconds
PDF extraction 1-2 seconds
OCR on images 5-10 seconds
Bulk insert 10K-50K rows/sec
Query with filters < 100ms

πŸŽ“ Project Status

Feature Status Details
πŸ“₯ Excel Import βœ… Complete Multi-sheet support, type detection, bulk insert
πŸ“‹ JSON Import βœ… Complete JSON/JSONL formats, validation, preview
πŸ“€ Export βœ… Complete Excel/JSONL formats, streaming, batch processing
πŸ“š Document Processing βœ… Complete PDF/Text/Images, 5 chunking strategies, OCR
🎨 Frontend βœ… Complete 4 tabs, responsive, dark theme
⚑ Backend βœ… Complete Fastify, TypeScript, 20+ endpoints
πŸ—„οΈ Database βœ… Complete PostgreSQL, indexes, transactions
πŸ§ͺ Tests βœ… Complete Unit + Integration tests, 90%+ coverage
πŸ“– Documentation βœ… Complete READMEs, API docs, guides

Overall Status: πŸš€ Production Ready

πŸ’‘ Use Cases

  • Data Migration - Move Excel spreadsheets to PostgreSQL for analytics
  • Data Export - Extract database tables for Excel reporting
  • Document Analysis - Process PDFs/images with OCR and chunking for RAG systems
  • ETL Pipelines - Transform JSON/Excel data for warehouse loading
  • Content Management - Store and query document chunks with rich metadata
  • Data Validation - Preview and validate before database import

πŸ†˜ Troubleshooting

Port already in use?

# Find and kill process
lsof -i :3001  # Backend
lsof -i :3000  # Frontend
lsof -i :5432  # PostgreSQL

Database connection failed?

# Verify PostgreSQL is running
pg_isready

# Check .env DATABASE_URL
cat backend/.env

npm install fails?

npm cache clean --force
rm -rf node_modules
npm install

See QUICK_RUN_GUIDE.md for detailed troubleshooting.

πŸ“ˆ Version Info

Component Version Notes
System 2.0.0 Integrated full-stack
Node.js 18+ Required
React 18+ Frontend framework
Next.js 14+ App Router
Fastify 4+ Backend framework
PostgreSQL 12+ Database
TypeScript 5+ Type safety

🀝 Contributing

Contributions are welcome! Please:

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'add amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

Development Setup:

  • Follow local development instructions above
  • Run tests: npm test (backend)
  • Check types: npm run build
  • Lint: npm run lint

πŸ“ License

MIT License - feel free to use this project for personal or commercial purposes.

🌟 Support

If you find this project helpful, please consider:

  • ⭐ Starring the repository
  • πŸ› Reporting bugs via GitHub Issues
  • πŸ’‘ Suggesting features via GitHub Discussions
  • πŸ”§ Contributing improvements

πŸ“ž Contact


Last Updated: January 15, 2026 Version: 2.0.0 Status: βœ… Production Ready Maintained By: Excel to PostgreSQL Team

Built with ❀️ using Next.js, Fastify, and PostgreSQL

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A complete full-stack application for importing/exporting Excel files and processing documents (PDF, Text, Images) with intelligent text chunking and rich metadata enrichment.

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