QPDF – Queryable PDF Assistant

QPDF is a modern AI-powered web application that lets you chat with your PDF documents. Upload a PDF, ask questions, and get instant answers, summaries, and insights using natural language.

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Features

• Upload and chat with PDF documents using AI
• Fast, modern React (Vite, TypeScript, Tailwind, shadcn/ui)
• Feedback form, document info, and more
• SEO-optimized, mobile-friendly, and easy to deploy
• Python FastAPI backend for PDF processing and AI chat
• Easily extensible for more file types (Word, TXT, etc.)

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Demo

Live demo: https://qpdf.tech/

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Getting Started

1. Clone the Repository

git clone <your-repo-url>
cd QPDF

2. Frontend Setup

npm install
npm run dev

• The app will be available at http://localhost:3000

3. Backend Setup

cd backend
pip install -r requirements.txt

• Create a .env file in backend/ with your OpenAI API key:

  OPENAI_API_KEY=your_openai_api_key_here
  

• Start the backend:

  python main.py

• The API will be available at http://localhost:8000

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Project Structure

QPDF/
  backend/         # FastAPI backend (Python)
  public/          # Static assets, favicon, robots.txt, sitemap.xml
  src/             # React frontend (TypeScript)
    components/    # UI components
    pages/         # App pages
    contexts/      # React context (chat, etc.)
    lib/           # API config, utilities
  index.html       # Main HTML file with meta tags
  package.json     # Frontend dependencies/scripts
  README.md        # This file

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SEO & Deployment

• SEO meta tags, Open Graph, Twitter cards, robots.txt, and sitemap.xml included
• Easily deployable to Vercel, Netlify, or your own server

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License

MIT (or specify your license here)