Generate YouTube chapter timestamps with GPT and SupaData transcripts

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Important notice

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

1. Workflow Overview

YouTube Chapter Auto Description with AI This n8n template automatically adds structured timestamp chapters to your latest YouTube video’s description using your RSS feed, SupaData for transcript e...

Best for

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

Tools used

n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.rssfeedreadtrigger, n8n-nodes-base.airtable, n8n-nodes-base.if, n8n-nodes-base.set, n8n-nodes-base.httprequest, n8n-nodes-base.code

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: Generate YouTube chapter timestamps with GPT and SupaData transcripts
Workflow name: Generate YouTube chapter timestamps with GPT and SupaData transcripts

YouTube Chapter Auto-Description with AI

This n8n template automatically adds structured timestamp chapters to your latest YouTube video’s description using your RSS feed, SupaData for transcript extraction, and an AI tool for chapter generation.

Ideal for creators who want every video to include chapter markers without doing it manually.

Good to Know

SupaData extracts full transcripts from YouTube videos via URL.
The AI chapter generator converts long transcripts into formatted timestamps with short titles.
This workflow edits the existing video description and appends the chapters to the bottom.

How It Works

The RSS Feed Trigger detects new uploads from your YouTube channel.
The workflow checks Airtable to prevent duplicate processing.
Transcript is fetched using SupaData API.
The total video duration is extracted from the transcript.
AI is prompted to generate well-formatted chapter timestamps.
The existing description is fetched from YouTube.
The chapters are appended and pushed back via the YouTube API.

How to Use

Start with the Manual Trigger to test the setup.
Replace it with the RSS Trigger once you're ready for automation.
Chapters are added only if the video hasn't been processed before.

Requirements

YouTube OAuth2 credentials in n8n
SupaData API Key
Airtable account (for optional deduplication logic)

Customizing This Workflow

Change the chapter format, or instruct the AI to use emojis, bold titles, or include sections like "sponsor" or "Q&A".
Replace the RSS Trigger with a webhook if using a different publishing process.

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 - Sticky Note

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

Block 2 - Sticky Note1

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

Block 3 - Sticky Note2

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

Block 4 - Sticky Note3

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

Block 5 - Sticky Note4

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

Block 6 - Sticky Note5

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

Block 7 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 8 - Sticky Note7

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

Block 9 - Get New YouTube Video

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

Block 10 - Check Airtable

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

Block 11 - Is New Video?

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.2

Block 12 - Save to Airtable

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

Block 13 - Format Video ID

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 14 - Fetch Transcript

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

Block 15 - Prepare Transcript + Duration

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

Block 16 - AI: Generate Chapters

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2.2

Block 17 - Fetch Current Description

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

Block 18 - Update Description

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

3. Summary Table

Workflow	Generate YouTube chapter timestamps with GPT and SupaData transcripts
Complexity	advanced
Nodes	18
Categories	Content Creation, AI Summarization
Author	Chris Jadama
Published	11 Nov 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/10719/10719.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 AI Summarization workflows

Frequently asked questions

What does Generate YouTube chapter timestamps with GPT and SupaData transcripts 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, AI Summarization use case.

Chris Jadama

3 workflows

Nodes

n8n-nodes-base.stickynote @n8n/n8n-nodes-langchain.lmchatopenai n8n-nodes-base.rssfeedreadtrigger n8n-nodes-base.airtable n8n-nodes-base.if n8n-nodes-base.set n8n-nodes-base.httprequest n8n-nodes-base.code

Complexity

advanced

Published 11 Nov 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/10719/10719.json

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Generate YouTube chapter timestamps with GPT and SupaData transcripts

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

YouTube Chapter Auto-Description with AI

Good to Know

How It Works

How to Use

Requirements

Customizing This Workflow

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Sticky Note

Block 2 - Sticky Note1

Block 3 - Sticky Note2

Block 4 - Sticky Note3

Block 5 - Sticky Note4

Block 6 - Sticky Note5

Block 7 - OpenAI Chat Model

Block 8 - Sticky Note7

Block 9 - Get New YouTube Video

Block 10 - Check Airtable

Block 11 - Is New Video?

Block 12 - Save to Airtable

Block 13 - Format Video ID

Block 14 - Fetch Transcript

Block 15 - Prepare Transcript + Duration

Block 16 - AI: Generate Chapters

Block 17 - Fetch Current Description

Block 18 - Update Description

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