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Turn BBC News articles into podcasts using Hugging Face and Google Gemini

OnurOnur
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2/3/2026
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Turn BBC News Articles into Podcasts using Hugging Face and Google Gemini

Effortlessly transform BBC news articles into engaging podcasts with this automated n8n workflow.

Who is this for?

This template is perfect for:

  • Content creators who want to quickly produce podcasts from current events.
  • Students looking for an efficient way to create audio content for projects or assignments.
  • Individuals interested in generating their own podcasts without technical expertise.

Setup Information

  1. Install n8n: If you haven't already, download and install n8n from n8n.io.
  2. Import the Workflow: Copy the JSON code for this workflow and import it into your n8n instance.
  3. Configure Credentials:
    • Gemini API: Set up your Gemini API credentials in the workflow's LLM nodes.
    • Hugging Face Token: Obtain an access token from Hugging Face and add it to the HTTP Request node for the text-to-speech model.
  4. Customize (Optional):
    • Filtering Criteria: Adjust the News Classifier node to fine-tune the selection of news articles based on your preferences.
    • Output Options: Modify the workflow to save the generated audio file to a cloud storage service or publish it to a podcast hosting platform.

Prerequisites

  • An active n8n instance.
  • Basic understanding of n8n workflows (no coding required).
  • API credentials for Gemini and a Hugging Face account with an access token.

What problem does it solve?

This workflow eliminates the manual effort involved in creating podcasts from news articles. It automates the entire process, from fetching and filtering news to generating the final audio file.

What are the benefits?

  • Time-saving: Create podcasts in minutes, not hours.
  • Easy to use: No coding or technical skills required.
  • Customizable: Adapt the workflow to your specific needs and preferences.
  • Cost-effective: Leverage free or low-cost services like Gemini and Hugging Face.

How does it work?

  1. The workflow fetches news articles from the BBC website.
  2. It filters articles based on their suitability for a podcast.
  3. It extracts the full content of the selected articles.
  4. It uses Gemini LLM to create a podcast script.
  5. It converts the script to speech using Hugging Face's text-to-speech model.
  6. The final podcast audio is ready for use.

Nodes in the Workflow

  1. Fetch BBC News Page: Retrieves the main BBC News page.
  2. News Classifier: Categorizes news articles using Gemini LLM.
  3. Fetch BBC News Detail: Extracts detailed content from suitable articles.
  4. Basic Podcast LLM Chain: Generates a podcast script using Gemini LLM.
  5. HTTP Request: Converts the script to speech using Hugging Face.

Add Story

I'm excited to share this workflow with the n8n community and help content creators and students easily produce engaging podcasts!

Additional Tips

  • Explore the n8n documentation and community resources for more advanced customization options.
  • Experiment with different filtering criteria and LLM prompts to achieve your desired podcast style.

Turn BBC News Articles into Podcasts using Hugging Face and Google Gemini

This n8n workflow automates the process of extracting content from BBC News articles, classifying them, and then generating a podcast-ready summary and audio using AI models. It allows you to quickly transform news articles into an audio format, potentially for a personalized news podcast or content repurposing.

What it does

  1. Triggers Manually: The workflow starts when manually executed.
  2. Fetches BBC News Articles: It makes an HTTP request to the BBC News website to retrieve a list of articles.
  3. Parses HTML: Extracts relevant article links and titles from the fetched HTML content.
  4. Filters Articles: It filters the extracted articles, keeping only the first 5 entries.
  5. Splits Articles: Processes each article individually.
  6. Classifies Article Content: Uses a "Text Classifier" (likely an AI model) to categorize the content of each article.
  7. Generates Podcast Summary: Employs a "Basic LLM Chain" with a "Google Gemini Chat Model" to create a concise, podcast-style summary of the article.
  8. Structures Output: Uses a "Structured Output Parser" to format the generated summary into a structured format (e.g., JSON).
  9. Aggregates Results: Combines the processed information (classified category, summary, etc.) from all articles into a single output.

Prerequisites/Requirements

  • n8n Instance: A running n8n instance to import and execute the workflow.
  • Hugging Face Credentials: While not explicitly shown in the provided JSON, the presence of "Text Classifier" and the directory name suggest a Hugging Face API key or similar credentials might be needed for text classification.
  • Google Gemini Credentials: Credentials for accessing the Google Gemini Chat Model (likely an API key).
  • Internet Access: To fetch BBC News articles and interact with AI services.

Setup/Usage

  1. Import the Workflow: Import the provided JSON into your n8n instance.
  2. Configure Credentials:
    • Set up your Hugging Face credentials (if required by the Text Classifier node).
    • Configure your Google Gemini Chat Model credentials in the respective node.
  3. Execute the Workflow: Click the "Execute workflow" button in the "Manual Trigger" node to run the workflow.
  4. Review Output: The final "Aggregate" node will contain the classified articles with their generated podcast summaries. You can then extend the workflow to convert these summaries into audio using a Text-to-Speech service (not included in this specific JSON).

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