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Updated Workflow #1668

Creating a Podcast Digest Automation with n8n and OpenAI

Discover how this n8n workflow automates podcast episode summarization, topic extraction, and insightful question generation using OpenAI models, saving hours of manual work while enriching your podcast engagement experience.

Creating a Podcast Digest Automation with n8n and OpenAI
CONNECTS
manualTrigger, Code, documentJsonInputLoader, textSplitterRecursiveCharacterTextSplitter, chainSummarization, chainLlm, outputParserStructured, itemLists, agent, toolWikipedia, Gmail
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The canvas, and the 11 nodes behind it.

Preview of the Creating a Podcast Digest Automation with n8n and OpenAI workflow canvas in n8n
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What runs inside this workflow

Creating a Podcast Digest Automation with n8n and OpenAI is built from these n8n nodes: manualTrigger, Code, documentJsonInputLoader, textSplitterRecursiveCharacterTextSplitter, chainSummarization, chainLlm, outputParserStructured, itemLists, agent, toolWikipedia, Gmail.

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    What This Workflow Does

    This workflow automates turning podcast transcripts into easy-to-read email digests. It saves time by summarizing long texts, finding main topics, and making questions for listeners. The final digest is sent by Gmail as a nice HTML email.


    This solves the problem of spending many hours manually editing podcast transcripts and making listener questions. The result is a ready-to-send summary email that improves audience engagement and cuts down mistakes.



    Who Should Use This Workflow

    This is for podcasters or content creators who get long transcripts and want quick summaries.


    It is useful for anyone wanting to automate content processing and email sharing without spending extra time writing summaries or discussion points.



    Tools and Services Used


    Workflow Inputs, Process, and Output

    Inputs

    • Podcast episode transcript text entered manually or triggered.

    Processing Steps

    • The transcript text is converted into JSON for AI processing.

    • The text splits into 6000-character chunks with 1000-character overlap to handle API limits.

    • OpenAI models create a summary from the chunks.

    • GPT-4 extracts main topics and related questions from the summary.

    • Structured output parser ensures topics and questions are in correct JSON format.

    • The topics split out to research each using the Wikipedia node.

    • Further explanations for topics are generated using OpenAI GPT-3.5 in a multi-turn conversation.

    • All results merge and convert to HTML format for email presentation.

    • The formatted digest is sent through Gmail with OAuth2 authentication.

    Output

    • Professional HTML email containing a summary, topic explanations, and engaging questions.


    Beginner Step-by-Step: How To Use This Workflow In n8n

    Importing and Setup

    1. Download the provided workflow file using the Download button on this page.

    2. Open the n8n editor where workflows are managed.

    3. Use the Import from File option to load the downloaded workflow file.

    Configure Credentials and Inputs

    1. Add your OpenAI API Key credentials in n8n's credentials section.

    2. Set up Gmail OAuth2 credentials for the Gmail node to send emails.

    3. If necessary, edit recipient email addresses, distribution list, or other IDs in relevant nodes.

    4. If a transcript is preset in a Code node, replace it with your actual transcript text.

    Testing and Activation

    1. Run the workflow manually using the manualTrigger node to check it works correctly.

    2. Verify the summary email is received and formatted as expected.

    3. When ready, activate the workflow to run in production.

    For users wanting control or scalability, consider self-host n8n to run workflows on a server.



    Customization Ideas

    • Change manual trigger to a webhook for automatic transcript uploads.

    • Adjust character chunk sizes in the recursive text splitter node to handle longer or shorter texts.

    • Swap GPT-3.5 with GPT-4 models or change settings like temperature for creative versus factual outputs.

    • Modify email formatting or recipients in the Gmail node to fit branding needs.

    • Add nodes to pull topic data from other APIs besides Wikipedia for deeper research.


    Common Failures and Troubleshooting

    Issue: Transcript text too long for a single OpenAI API call.
    Cause: Token and character limits on API.
    Fix: Make sure the recursive character text splitter node splits the transcript into chunks with overlap.


    Issue: Gmail OAuth2 authentication fails.
    Cause: Expired or invalid Gmail credentials.
    Fix: Refresh or update Gmail OAuth2 credentials in n8n credentials manager.



    Summary of Workflow Impact

    ✓ Saves 3-5 hours by automating podcast transcript processing.
    ✓ Reduces mistakes made by manual editing.
    ✓ Produces polished email digests with summaries, topics, and questions.
    ✓ Sends content automatically via Gmail.
    ✓ Can be customized for various podcast formats or other transcription types.


    Frequently Asked Questions

    Can the Gmail node be replaced with other email services?

    Yes, the Gmail node can be replaced by SMTP, Outlook, or SendGrid nodes if the proper credentials are provided.

    How does the workflow handle very long transcripts?

    The workflow uses a recursive character text splitter node that breaks transcripts into smaller chunks with overlap to stay within OpenAI API limits.

    Is there a way to make the workflow start automatically when a transcript is available?

    Yes, the manual trigger can be replaced by a webhook node to receive transcripts automatically.

    What happens if the OpenAI API key is invalid or lacks quota?

    OpenAI calls will fail and stop the workflow. The user must update or fix the API key and ensure sufficient quota in n8n credentials.

    Vikash Kumar
    WRITTEN BY
    Vikash Kumar
    Founder, BULDRR AI
    Building AI agents, n8n workflows and end-to-end automation for 30+ Brands across India, the US, Europe, Dubai & Australia. 7+ years of Experience saving founders real hours every week - no code required.

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