This workflow streamlines the process of converting PDF content into engaging podcast episodes. It begins with a manual trigger where a PDF file is uploaded. The workflow then extracts text from the PDF, which is used to generate a conversational podcast script via Google’s Gemini language model. Once the script is created, it is converted into natural-sounding speech using Google’s PaLM-based Text-to-Speech API. The resulting audio is processed to ensure proper WAV format and saved as a downloadable file. This automation is ideal for content creators, educators, or businesses that want to rapidly produce audio content from document files, saving time and effort while maintaining quality.
Automated Podcast Creation from PDFs
Node Count | 6 – 10 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, code, extractFromFile, httpRequest, manualTrigger, stickyNote, writeBinaryFile |
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