Automatic Youtube Chapters with AI and Deepseek V3
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In this tutorial, I show you how to automate the creation of YouTube chapters using AI, all powered by tools like Make.com, Airtable, and the DeepSeek V3 model via OpenRouter. This automation is perfect for content creators, marketers, or agencies looking to save time and boost SEO effortlessly.
For this workflow, I’ve used a few key modules to make everything run seamlessly. One of the easiest and most effective modules for retrieving YouTube transcripts is from DumplingAI - https://www.dumplingai.com - it simplifies the process and ensures accurate data extraction.
Here’s what you’ll learn in this video:
• How to extract YouTube transcripts automatically.
• How to use AI (DeepSeek V3) to generate structured chapters with timestamps.
• How to update YouTube descriptions with these chapters in just seconds.
• How to save all data, including titles, thumbnails, and chapters, in Airtable for future use.
Tools and Services I Used:
1. Make.com – For building the automation workflow.
2. Dumpling AI – To retrieve YouTube transcripts. - https://www.dumplingai.com
3. OpenRouter (DeepSeek V3) – For creating AI-generated chapters.
4. Airtable – For organizing and storing the data.
Why This Automation Is Game-Changing:
This process eliminates the need to manually create chapters for your YouTube videos, saving you hours of effort while improving your video’s discoverability and viewer engagement. If you run an agency, this is a fantastic value-added service you can offer your clients.
Join the Automation Tribe to download this automation, learn more, and discover other tools that will help you automate your business.
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00:00 Introduction to YouTube Chapter Automation
00:55 How the Automation Works
02:09 Extracting Video Data and Generating Chapters
03:12 Setting Up the Airtable Base
06:07 Configuring the YouTube API Key
08:11 Building the Automation Step-by-Step
10:25 Finalizing the Automation with YouTube Updates
11:22 Accessing the Automation in the Community 📌 📌 📌 The host I recommend: https://dub.sh/n8n-host