OpenReader WebUI

OpenReader WebUI is a sleek, web-based PDF reader with built-in Text-to-Speech capabilities, offering a seamless reading experience with synchronized audio narration.

• 🎯 TTS API Integration: Compatible with OpenAI API TTS and Kokoro FastAPI TTS, enabling high-quality voice narration
• 💾 Local-First Architecture: Secure document handling with IndexedDB browser storage - no server uploads required
• 🔍 Smart Text Processing: Real-time sentence detection and synchronized text highlighting during playback
• ⚡ Modern Tech Stack: Built with Next.js, React, and Tailwind CSS
• 🎨 Customizable Experience:
  • Adjustable playback speed
  • Multiple voice options
  • Dark/light/system theme support
  • Persistent user settings
• 📱 Cross-Platform: Responsive design works seamlessly across desktop and mobile devices

Demo

Screen.Recording.2025-02-04.at.3.33.16.AM.mov

🐳 Docker Quick Start

docker run --name openreader-webui -p 3003:3003 richardr1126/openreader-webui:latest

Visit http://localhost:3003 to run the app.

Using Docker Compose

Create or add to a docker-compose.yml:

services:
  openreader-webui:
    container_name: openreader-webui
    image: richardr1126/openreader-webui:latest
    ports:
      - "3003:3003"
    restart: unless-stopped

Dev Installation

Prerequisites

• Node.js & npm (recommended: use nvm)

Steps

1. Clone the repository:

   git clone https://github.com/richardr1126/OpenReader-WebUI.git
   cd OpenReader-WebUI

2. Install dependencies:

   npm install

3. Configure the environment:

   cp .env.template .env
   # Edit .env with your configuration settings

4. Start the development server:

   npm run dev

   or build and run the production server:

   npm run build
   npm start

   Visit http://localhost:3003 to run the app.

   Dev server runs on port 3000 by default, while the production server runs on port 3003.

Docker Supported Architectures

• linux/amd64 (x86_64)
• linux/arm64 (Apple Silicon)
• linux/arm/v7 (Raspberry Pi)

Features

• Real-time sentence by sentence text-to-speech via OpenAI API TTS, Kokoro FastAPI TTS, or others compatible with the /v1/audio/speech endpoint
• IndexedDB-powered local storage
• Synchronized text highlighting during playback (using string similarity for best match on the page)
• Configurable playback speed and voice options, which checks /v1/audio/voices for available voices
• Click-to-skip on the same page for navigation
• Responsive design with light, dark, and system themes
• All configuration settings saved in IndexedDB

Stack

• Framework: Next.js (React)
• Storage: IndexedDB (in broswer db store)
• PDF Processing:
  • react-pdf
  • pdf.js
  • Compromise for text analysis
• UI Components:
  • Headless UI
  • Tailwind CSS
• TTS Integration: anything you want

Project Structure

src/
├── app/           // Next.js app router
├── components/    // Reusable UI components
├── contexts/      // State management contexts
└── services/      // Utility functions & integrations

Contributing

Contributions are welcome! Fork the repository and submit a pull request with your changes. For significant alterations, please open an issue first.

License

This project is licensed under the MIT License.

Acknowledgements

• react-pdf
• Kokoro-82M for text-to-speech
• Kokoro-FastAPI for the API wrapper

Support

If you encounter issues or have suggestions, please open an issue on GitHub.