Building a PDF to Podcast Pipeline with Open Source AI
Blog post from Featherless
An innovative AI-powered pipeline transforms static PDFs into engaging, conversational podcasts using a combination of open-source tools, including PyMuPDF for text extraction, Featherless.ai for creative script generation, and Kokoro TTS for natural-sounding audio synthesis. This process automates the conversion of dense, complex documents into audio-friendly formats, making information more accessible and convenient for multitasking scenarios such as commuting or exercising. Built on a four-stage architecture, the pipeline includes text extraction and cleaning, podcast script generation, TTS optimization, and audio generation, each facilitated by specialized tools and techniques to ensure clarity and engagement. By leveraging large language models and role-playing prompts, the system crafts dynamic dialogues between distinct speaker personas, enhancing the listening experience. The pipeline's modular design allows for easy customization and adaptation, inviting users to experiment with different models and voices to suit diverse content needs, ultimately democratizing the creation of personalized audio content.