📋 Project Overview & Problem Statement
Challenge: Reading lengthy PDF documents is time-consuming and often impractical for busy professionals, students, and individuals with visual impairments or learning difficulties. Traditional document consumption methods don't support multitasking or accessible formats.
Solution: PDF-to-Audio Reader transforms static PDF documents into engaging audiobook experiences using advanced AI technology. The application combines intelligent document processing, natural language understanding, and high-quality text-to-speech synthesis to create accessible, interactive audio content with professional audiobook features.
Key Benefits
- AI Document Structuring: Intelligent parsing and organization of PDF content with automatic chapter detection
- Natural Audio Synthesis: High-quality text-to-speech with synchronized highlighting and playback controls
- Interactive Navigation: Audiobook-style features including bookmarks, chapter jumping, and progress tracking
- Accessibility Focus: Supports users with visual impairments, dyslexia, and learning difficulties
- Multitasking Enable: Listen while commuting, exercising, or performing other activities
🛠️ Technical Architecture & Implementation
Frontend Architecture
React 19
TypeScript 5.0
Vite Build Tool
PDF.js Library
Web Speech API
AI & NLP Technologies
Google Gemini AI
Document Processing
Language Detection
Content Structuring
Speech Recognition
Audio & Accessibility
Text-to-Speech
Audio Controls
Voice Commands
Synchronized Highlighting
Progress Tracking
Deployment & Infrastructure
Google Cloud Run
Docker Containers
CI/CD Pipelines
Auto Scaling
Load Balancing
System Architecture
Document-to-Audio Pipeline:
- Secure PDF upload with validation and text extraction using PDF.js
- Gemini AI analysis for document structure and content organization
- Language detection and TTS voice selection optimization
- Interactive audio player with synchronized text highlighting
- Voice command processing for hands-free navigation and control
📖 Development Setup & Installation Guide
Prerequisites
- Node.js 16+ with npm package manager
- Gemini API Key from Google AI Studio
- Modern Browser with Web Speech API support
- Development Tools: VS Code with TypeScript extensions
Quick Start Installation
# Clone the repository
git clone https://github.com/lyven81/ai-project.git
cd ai-project/projects/pdf-to-audio-reader
# Install dependencies
npm install
# Set up environment variables
cp .env.example .env
# Add your Gemini API key to .env
# Run development server
npm run dev
# Build for production
npm run build
Environment Configuration
# Required API Configuration
API_KEY=your_gemini_api_key_here
# Optional Application Settings
MAX_FILE_SIZE_MB=10
DEFAULT_VOICE=en-US
PLAYBACK_SPEED_DEFAULT=1.0
DEBUG_MODE=false
Development Workflow
- Local Development: Vite hot reload for rapid iteration and testing
- Testing: Comprehensive test suite with sample PDF documents
- Code Quality: ESLint and Prettier for consistent code formatting
- Documentation: Comprehensive component documentation and API references
🚀 Deployment Options & Production Configuration
Google Cloud Run Deployment (Recommended)
# Build and deploy using Cloud Build
gcloud builds submit --config cloudbuild.yaml
# Direct deployment
gcloud run deploy pdf-to-audio-reader \
--image gcr.io/PROJECT-ID/pdf-to-audio-reader \
--platform managed \
--region us-west1 \
--set-env-vars API_KEY=your_api_key
Alternative Deployment Methods
- Vercel: Direct GitHub integration with automatic deployments
- Netlify: Simple drag-and-drop deployment with CDN
- Docker: Containerized deployment for any cloud provider
- Static Hosting: Build and deploy to any static hosting service
Production Optimizations
- Performance: Optimized PDF processing and audio streaming
- Caching: Intelligent caching of processed documents and AI results
- Security: Input validation, file sanitization, and API key protection
- Monitoring: Real-time performance tracking and error reporting