This n8n workflow automates the process of summarizing podcast transcripts and extracting key topics. It begins with a manual trigger for testing, followed by inputting the raw transcript. The workflow then utilizes OpenAI’s GPT models to generate a concise summary and identify relevant keywords from the transcript. The results are consolidated into easily usable fields and emailed to a specified address, making it ideal for content creators, podcasters, and marketing teams looking to streamline content repurposing. This setup can be extended to automate fetching transcripts from transcription services or RSS feeds, enabling efficient content management and SEO optimization.
Automated Podcast Transcript Summarization and Keyword Extraction
Node Count | 6 – 10 Nodes |
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Nodes Used | gmail, manualTrigger, openAi, set |
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