Bookify

<div align="center"> <img src="images/home.png" alt="Bookify Home" width="100%" /> <h1>Bookify</h1> <p><strong>Read smarter.</strong> Upload any book, chat with it, and listen to voice summaries — all powered by AI.</p> <p> <img src="https://img.shields.io/badge/Next.js-16-black?logo=next.js" /> <img src="https://img.shields.io/badge/React-19-61DAFB?logo=react" /> <img src="https://img.shields.io/badge/TypeScript-5-3178C6?logo=typescript" /> <img src="https://img.shields.io/badge/AI-Gemini%20%7C%20LangChain-4285F4?logo=google" /> </p> </div>

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What is Bookify?

Bookify is an AI-powered reading companion. Upload a PDF book and get:

• An AI-generated overview covering key themes and important topics
• A chat interface to ask questions about the book and get contextual answers
• A voice conversation mode where you can talk to the book out loud
• Smart metadata extraction — title, author, genre, and tags auto-filled from the PDF

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Screenshots

Book Detail

<img src="images/book.png" alt="Book detail page" width="100%" />

AI-Generated Overview

<img src="images/book-overview.png" alt="Book overview with AI summary" width="100%" />

Chat with Your Book

<img src="images/book-chat.png" alt="Chat interface" width="100%" />

Voice Conversations

<img src="images/book-voice.png" alt="Voice call mode" width="100%" />

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Features

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Tech Stack

Frontend

• Next.js 16 (App Router) + React 19
• Tailwind CSS 4 + shadcn/ui
• Framer Motion for animations
• react-pdf for the inline PDF viewer

Backend & AI

• MongoDB — book metadata and chat history
• NeonDB + pgVector — vector embeddings for RAG search
• AWS S3 — PDF and cover image storage
• Google Gemini — metadata extraction, embeddings, and summaries
• LangChain — AI orchestration and agent actions
• Vapi — real-time voice AI conversations
• Inngest — background book processing pipeline

Auth & Infra

• Clerk — authentication
• Vercel Analytics

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Getting Started

Prerequisites

• Node.js 20+
• A MongoDB instance (local or Atlas)
• NeonDB project with pgVector enabled
• AWS S3 bucket
• Clerk application
• Google Gemini API key
• Vapi account
• Inngest account (or use the local dev server)

Installation

git clone https://github.com/your-username/bookify.git
cd bookify
npm install

Environment Variables

Copy .env.example to .env.local and fill in your credentials:

cp .env.example .env.local

Run Locally

npm run dev

App runs at http://localhost:3001.

For background book processing, start the Inngest dev server in a separate terminal:

npx inngest-cli@latest dev

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Project Structure

src/
├── app/
│   ├── (preview)/preview/[id]/   # Book reader — PDF viewer + AI panels
│   ├── (protected)/upload/        # Book upload flow
│   └── api/                       # API routes (books, chat, voice, users)
├── modules/
│   ├── agents/                    # AI agent actions (summary, embeddings)
│   ├── books/                     # Book model, schema, types
│   ├── chat/                      # Chat model
│   └── voice/                     # Voice model
├── lib/
│   ├── inngest/                   # Background processing pipeline
│   ├── vector-store.ts            # pgVector insert/search
│   ├── chunker.ts                 # PDF text chunking
│   └── api/                       # S3, Vapi, embeddings helpers
└── components/                    # Shared UI components

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Scripts

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License

MIT