Automated YouTube video to blog post conversion with Gemini AI transcription
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 10 nodes and runs when an HTTP POST request hits its webhook URL. Along the way it connects Google Gemini Chat Model and Google Gemini.
How it runs
Trigger: When an HTTP POST request hits its webhook URL.
- Get Time (Edit Fields (Set)): sets 1 field: now_unix
- Download the Youtube Audio (Execute Command): runs a shell command on the n8n host
- Read Output MP3 Binary (Read/Write Files from Disk): reads a file from disk
- Transcribe a recording (Google Gemini): work with audio
- AI Agent: runs an AI agent, with model: Google Gemini Chat Model; output parser: Structured Output Parser
- Add Video Url to Output (Edit Fields (Set)): sets 2 fields: videoUrl, fulltext
- Respond The Blog Post (Respond to Webhook): sends the response back to the webhook caller
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (9)
- AI Agent
@n8n/n8n-nodes-langchain.agent - Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Execute Command
n8n-nodes-base.executeCommand - Read/Write Files from Disk
n8n-nodes-base.readWriteFile - Respond to Webhook
n8n-nodes-base.respondToWebhook - Webhook
n8n-nodes-base.webhook - Google Gemini
@n8n/n8n-nodes-langchain.googleGemini - Edit Fields (Set)
n8n-nodes-base.set
From the author
This workflow automatically turns any YouTube video into a structured blog post with Gemini AI. By sending a simple POST request with a YouTube URL to a webhook, it downloads the video’s audio, transcribes the content, and generates a blog-ready article with…