PDF2Podcast — AI-Powered Document to Audio Conversion

Overview

Developed an AI-powered PDF to audio conversion system that transforms static documents into engaging conversational podcasts. The system implements cutting-edge TTS models (Kokoro and Kyutai) to make content universally accessible while maintaining the depth and nuanced context of complex documents through natural, human-like speech synthesis.

Key Responsibilities

• Advanced TTS Model Integration: Successfully integrated Kokoro and Kyutai neural network architectures for high-quality, conversational text-to-speech synthesis with natural prosody and emotion
• Document Processing Pipeline: Created robust PDF parsing system capable of handling complex document structures, images, tables, and various formatting while preserving semantic content
• Real-time Audio Generation: Optimized processing pipeline enabling real-time conversion with GPU acceleration while maintaining high audio quality and minimal latency
• Conversational Audio Enhancement: Implemented audio post-processing techniques including pitch variation, pause insertion, and emphasis highlighting to create engaging podcast-style narration
• Multi-modal Accessibility: Developed comprehensive solution serving visually impaired users, busy professionals, and multimodal learners through universal document accessibility
• Deployment Optimization: Containerized application for production deployment with cloud infrastructure scaling capabilities and API integration for seamless document processing workflows

Technical Achievements

• Integrated state-of-the-art Kokoro and Kyutai TTS models achieving natural speech synthesis
• Built robust PDF parsing system maintaining document structure and semantic integrity
• Achieved real-time processing with sub-second response times for document conversion
• Created conversational podcast-style narration with professional audio enhancement
• Deployed containerized solution enabling seamless enterprise integration
• Established new standards for accessible document consumption through AI-powered audio

Impact

Broke down accessibility barriers by making document content universally consumable through high-quality audio conversion. The system has been deployed in educational, professional, and accessibility contexts, demonstrating how AI can enhance content accessibility while maintaining the depth and nuance of complex documents through natural speech synthesis.