Manual Trigger

AI-Powered Podcast Transcript Content Repurposing

Automate podcast transcript repurposing with n8n and AI, generating diverse marketing assets and saving hours of manual work.

Manual Trigger
Complex Trigger

This n8n workflow automates the transformation of a podcast episode transcript into various content formats using AI. Upon manual trigger, it takes a provided transcript, loads it, and then uses Langchain nodes with OpenAI's LLM to perform a series of analyses and content generation tasks. The workflow summarizes the podcast, conducts sentiment analysis, and extracts key takeaways. Furthermore, it leverages the LLM to create diverse marketing and communication assets, including social media posts, actionable items, a blog post, a newsletter, and an email digest. This comprehensive process streamlines content repurposing for podcasters and content creators, enabling them to quickly generate a suite of promotional and informational materials from a single transcript, saving significant manual effort and time.

19
Nodes
13
Services
3
Categories
Complex
Type

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📄 File Details

1286_Code_Manual_Automation_Triggered.json
Code
09/04/2025
Ready to Import

Just upload and configure

🔧
Production Ready

Tested and optimized

📚
Documentation

Complete setup guide

Automate podcast transcript repurposing with n8n and AI, generating diverse marketing assets and saving hours of manual work.

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Services & Integrations

Manual Trigger
Code
LLM Chain
LLM Chain
Sticky Note
Item Lists
LLM Chain
LLM Chain
LLM Chain
Gmail
LLM Chain
LLM Chain
AI Agent
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How to Use This Workflow

1

Download the Workflow

Click the "Download Workflow" button above to get the JSON file.

2

Import to n8n

In your n8n instance, go to Workflows → Import and select the JSON file.

3

Configure Credentials

Set up your Manual Trigger and other service credentials in n8n.

4

Activate & Test

Activate the workflow and test it to ensure everything works correctly.

Tags

#code
#manual-trigger
#code
#@n8n/n8n-nodes-langchain.document-json-input-loader
#complex
#code
#development
#workflow-automation
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