Transform YouTube transcripts to content assets with AI and Google Sheets

Open on n8n.io

$20/month : Unlimited workflows

2500 executions/month

Try free

THE #1 IN WEB SCRAPING

Scrape any website without limits

Try free

HOSTINGER

Early Deal
DISCOUNT 20%

Self-hosted n8n

Unlimited workflows - from $4.99/mo

Try free

#1 hub for scraping, AI & automation

6000+ actors - $5 credits/mo

Try free

Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Transform YouTube Transcripts to Content Assets with AI, Youtube transcript.io and Google Sheets For content creators, marketers, and video strategists who want to transform YouTube competitors' vi...

Best for

Content Creation automation workflows
Multimodal AI automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.stickynote, n8n-nodes-base.code, n8n-nodes-base.httprequest, n8n-nodes-base.googlesheets, n8n-nodes-base.googlesheetstrigger, @n8n/n8n-nodes-langchain.lmchatopenrouter, n8n-nodes-base.respondtowebhook, n8n-nodes-base.webhook

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Gerald Denor.

Original n8n.io source

1.1 Workflow description

Title: Transform YouTube transcripts to content assets with AI and Google Sheets
Workflow name: Transform YouTube transcripts to content assets with AI and Google Sheets

Transform YouTube Transcripts to Content Assets with AI, Youtube-transcript.io and Google Sheets

For content creators, marketers, and video strategists who want to transform YouTube competitors' video transcripts into production-ready content assets using AI-powered automation.

Overview

This template demonstrates two approaches to YouTube transcript extraction and AI content generation: automated Google Sheets monitoring for batch processing, and direct webhook API calls for on-demand extraction. The workflow includes intelligent parsing, metadata extraction, and AI-powered content transformation.

Key Features

Dual Workflow Architecture

Google Sheets integration for automated monitoring and batch processing
Webhook endpoint for real-time API access and instant responses
Both paths share core extraction logic while serving different use cases

Smart YouTube Parsing

Extracts video IDs from multiple URL formats (youtube.com, youtu.be, embed)
Regex-based parsing handles edge cases reliably
Graceful error handling for invalid URLs

Rich Metadata Extraction

Video title, channel name, and publish date
Duration and category information
Transcript text with full timestamp data
Fallback handling for videos without transcripts

AI Content Generation

Transforms raw transcripts into structured content assets
Generates Veo3-optimized scripts (8-second scene format)
Creates SEO-optimized titles, thumbnail concepts, tags, descriptions
Includes virality optimization suggestions (hooks, CTAs)
Uses OpenRouter for flexible LLM selection

Structured Output Parsing

Custom code nodes parse AI responses into consistent formats
Organized by content type (Script, Titles, Thumbnails, Tags, etc.)
Ready for direct insertion into Google Sheets or API responses

Technical Implementation

Nodes Used

Google Sheets (Trigger & Operations)
Webhook (Trigger & Response)
HTTP Request (YouTube Transcript API)
Code (JavaScript for parsing)
LangChain LLM Chain (Content generation)
OpenRouter Chat Model

External Dependencies

YouTube Transcript API (youtube-transcript.io or similar)
Google Sheets API credentials
OpenRouter API access

Use Cases

Content Repurposing: Transform successful videos into new content formats
Competitive Analysis: Batch analyze competitor video strategies
Research & Documentation: Build searchable transcript databases
Accessibility: Generate captions and text alternatives
SEO Analysis: Extract and analyze video content at scale
Content Strategy: Develop data-driven video concepts

Setup Requirements

YouTube Transcript API credentials
Google Sheets with specified column structure (for automated workflow)
OpenRouter API key for AI content generation
n8n instance (cloud or self-hosted)

Customization Options

The workflow is designed for easy extension:

Swap AI providers by changing the LangChain model node
Modify prompt engineering in the Chain LLM nodes
Add additional parsing logic in Code nodes
Connect to databases, CMS, or other storage solutions
Integrate text analysis, summarization, or translation steps
Add notification systems for workflow completion

Need Help?

LinkedIn: Gerald Akhidenor
Work with me: dominixai.com
My websites: jobmonkey.dev and mediacraftai.com
Email: [email protected]

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Main Template Explanation

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 2 - Sheets Workflow Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 3 - Webhook Workflow Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 4 - Extract YouTube Video ID (Sheets)

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 5 - Fetch Video Transcript Data (Sheets)

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 6 - Parse Transcript Text (Sheets)

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 7 - Save Transcript to Sheet

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.6

Block 8 - Monitor Google Sheet for URLs

Type / Role: n8n-nodes-base.googleSheetsTrigger - googleSheetsTrigger
Config choices: Version 1

Block 9 - OpenRouter Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenRouter - lmChatOpenRouter
Config choices: Version 1

Block 10 - Return Transcript Response

Type / Role: n8n-nodes-base.respondToWebhook - respondToWebhook
Config choices: Version 1.4

Block 11 - Webhook Trigger (Direct Input)

Type / Role: n8n-nodes-base.webhook - webhook
Config choices: Version 2.1

Block 12 - Save New Script to Sheet

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.6

Block 13 - OpenRouter Chat Model1

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenRouter - lmChatOpenRouter
Config choices: Version 1

Block 14 - Rewrite The Transcript (webhook)

Type / Role: @n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices: Version 1.7

Block 15 - Rewrite The Transcript (sheets)

Type / Role: @n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices: Version 1.7

Block 16 - Extract YouTube Video ID (Sheets)2

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 17 - Fetch Video Transcript Data (Webhook)

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 18 - Parse Transcript Text (Webhook)

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 19 - Parse AI Output Into Headings(sheets)

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 20 - Parse AI Output Into Headings (webhook)

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 21 - Save New Script to Sheet(webhook)

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.6

Block 22 - Save Transcript to Sheet(webhook)

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.6

Block 23 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

3. Summary Table

Workflow	Transform YouTube transcripts to content assets with AI and Google Sheets
Complexity	advanced
Nodes	23
Categories	Content Creation, Multimodal AI
Author	Gerald Denor
Published	03 Oct 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/9213/9213.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Content Creation workflows Multimodal AI workflows

Frequently asked questions

What does Transform YouTube transcripts to content assets with AI and Google Sheets do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Content Creation, Multimodal AI use case.

Gerald Denor

16 workflows

Nodes

n8n-nodes-base.stickynote n8n-nodes-base.code n8n-nodes-base.httprequest n8n-nodes-base.googlesheets n8n-nodes-base.googlesheetstrigger @n8n/n8n-nodes-langchain.lmchatopenrouter n8n-nodes-base.respondtowebhook n8n-nodes-base.webhook

Complexity

advanced

Published 03 Oct 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/9213/9213.json

Share Your Workflow

Have a useful automation to share? Publish it and help the community.

Submit Your Template How to Submit

Related Workflows

Send daily LinkedIn post drafts with Tavily, Groq Llama 3.3 and Gmail

## Quick overview This workflow runs daily at 8 AM to rotate through a topic list, research it with Tavily web search, generate a LinkedIn post and image prompt with Groq (Llama 3.3 70B), create a Pollinations.ai image URL, and email you the post with the image attached via Gmail. ## How it works 1. Runs every day at 8:00 AM on a schedule. 2. Selects today’s topic from a rotating list based on the day of the year. 3. Searches the web with Tavily to fetch up-to-date results for the selected topic. 4. Uses a Groq-hosted Llama model to write a LinkedIn post and a matching image prompt grounded in the Tavily results. 5. Builds a Pollinations.ai image generation URL from the image prompt and downloads the generated image file. 6. Emails the post text with the image attached via Gmail, and sends a text-only fallback email if image generation or download fails. ## Setup 1. Add a Groq API credential to the Groq Chat Model node. 2. Create a Tavily API key and configure HTTP Header Auth with `Authorization: Bearer <YOUR_TAVILY_KEY>` for the Tavily Search request. 3. Connect a Gmail OAuth2 credential and update the recipient email address in both Gmail send steps. 4. Edit the topic list in the topic-selection code step if you want different rotating themes. ## Requirements - Groq API key (free tier available) - Tavily API key (free tier — 1,000 searches/month) - Gmail account (OAuth2) ## Customization - Edit the topic list inside the "Pick Today's Topic" code node to change what subjects the post rotates through. - Change the Groq model in the "Groq Chat Model" node if you want a different LLM (e.g. a smaller/faster or larger Groq model). - Adjust the schedule trigger if you want a different posting time, or swap the Gmail "send to" address to deliver the draft to someone else for review. ## Additional info This workflow emails you a draft for manual review before posting — it does not post to LinkedIn automatically. If image generation fails, a text-only fallback email is sent instead so you never miss the post text.

View

Generate VEO3 videos from form ideas with ChatGPT, fal.ai, Drive and Gmail

## Quick overview This workflow collects a video idea via an n8n Form, uses OpenAI to turn it into an optimized prompt, generates an 8-second VEO3 video with native audio via fal.ai, saves the MP4 to Google Drive, and emails the Drive link via Gmail. ## How it works 1. Receives a submission from an n8n Form with the requester’s email, a plain-English video idea, and a selected style. 2. Uses OpenAI (via an AI Agent) to convert the idea and style into a structured VEO3 title and detailed prompt returned as JSON. 3. Cleans and parses the AI JSON, creates a filename-safe title, and sets the generation parameters to 16:9 and 8 seconds. 4. Submits the prompt to fal.ai’s queue endpoint for the fal-ai/veo3 model and gets a request ID. 5. Polls fal.ai every 30 seconds until the job status returns COMPLETED. 6. Retrieves the final MP4 URL from fal.ai, downloads the video, uploads it to Google Drive, and emails the Google Drive web link to the requester via Gmail. ## Setup 1. Create a fal.ai account, generate an API key, and replace `YOUR_FAL_AI_API_KEY` in the fal.ai HTTP request headers. 2. Add an OpenAI API credential in the OpenAI Chat Model node and select the model you want to use. 3. Connect Google Drive OAuth2 and replace `YOUR_GDRIVE_FOLDER_ID` with the target folder ID where videos should be saved. 4. Connect Gmail OAuth2 for sending emails, then activate the workflow and use the Form URL (path `veo3-video-generator`) to submit requests.

View

Generate presentation decks from prompts with Encelade

## Quick overview This workflow starts a presentation generation job in Encelade from a prompt and outline hints, polls Encelade for completion, and outputs the finished deck link (or stops with an error if generation fails). ## How it works 1. Starts when you manually execute the workflow in n8n. 2. Sends the topic, slide count, audience, tone, theme settings, and outline hints to Encelade to generate a 6-slide presentation. 3. Waits 20 seconds and then checks the Encelade session status using the returned session ID. 4. If the session phase is not finished, it keeps waiting and rechecking until the phase changes. 5. When the phase is "done", it returns the generated deck link and project PID. 6. When the phase is "failed", it stops the workflow and raises an error with the failure details. ## Setup 1. Install and configure Encelade credentials in n8n for the Encelade node. 2. Update the generation inputs (topic, page count, outline hints, audience/tone, theme mode, and media provider) to match the deck you want to create. 3. Ensure the workflow has enough time to complete by adjusting the 20-second wait interval if your Encelade generations typically take longer.

View

Need Custom Automation?

Get help designing a custom n8n workflow that connects your stack and fits your process.

Transform YouTube transcripts to content assets with AI and Google Sheets

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Transform YouTube Transcripts to Content Assets with AI, Youtube-transcript.io and Google Sheets

Overview

Key Features

Technical Implementation

Use Cases

Setup Requirements

Customization Options

Need Help?

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Main Template Explanation

Block 2 - Sheets Workflow Note

Block 3 - Webhook Workflow Note

Block 4 - Extract YouTube Video ID (Sheets)

Block 5 - Fetch Video Transcript Data (Sheets)

Block 6 - Parse Transcript Text (Sheets)

Block 7 - Save Transcript to Sheet

Block 8 - Monitor Google Sheet for URLs

Block 9 - OpenRouter Chat Model

Block 10 - Return Transcript Response

Block 11 - Webhook Trigger (Direct Input)

Block 12 - Save New Script to Sheet

Block 13 - OpenRouter Chat Model1

Block 14 - Rewrite The Transcript (webhook)

Block 15 - Rewrite The Transcript (sheets)

Block 16 - Extract YouTube Video ID (Sheets)2

Block 17 - Fetch Video Transcript Data (Webhook)

Block 18 - Parse Transcript Text (Webhook)

Block 19 - Parse AI Output Into Headings(sheets)

Block 20 - Parse AI Output Into Headings (webhook)

Block 21 - Save New Script to Sheet(webhook)

Block 22 - Save Transcript to Sheet(webhook)

Block 23 - Sticky Note1

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions