Automated News Summarization and Podcast Generation Workflow

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This n8n workflow automates the process of curating news articles, classifying their suitability for storytelling, and transforming them into engaging podcast scripts. Triggered manually, it begins by fetching the main BBC News page and extracting individual news articles. Each article’s title and description are then classified using a Gemini AI model to determine if they are suitable for narration.

For suitable articles, the workflow fetches the full content from their links and extracts key details like the headline, link, and description. These details are then compiled into a narrative script suitable for speech synthesis. If a podcast script already exists within an article, the workflow uses it directly.

The script is then sent to a Hugging Face text-to-speech model to generate audio content, making it ideal for creating automated news podcasts. This workflow is particularly useful for content creators, news outlets, or podcast producers who wish to streamline their content generation process with AI-driven automation.

Node Count

>20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.outputParserStructured, @n8n/n8n-nodes-langchain.textClassifier, aggregate, filter, html, httpRequest, if, limit, manualTrigger, splitOut, stickyNote

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