If you’re trying to research YouTube videos of talks and podcasts at scale, it would be handy to be able to pull transcripts into a database and use AI to summarise them.
This tutorial is inspired by Jordan Mix of Late Checkout, who uses a similar process to build a growing database of business ideas that get talked about during episodes of his partner Greg Isenberg’s podcast, Startup Ideas.
You could also use this same workflow to:
- Track industry trends by pulling transcripts from conferences or interviews with experts.
- Build a knowledge base from educational YouTube content for learning and reference.
- Monitor competitor mentions across various video content.
- Create a database of customer feedback from product reviews on YouTube.
- Collect content for a social media content library by summarising videos for easy repurposing.
In this tutorial you will learn how to:
- Set up a database in Notion database where we will store parsed YouTube transcripts.
- Set up a Zapier automation to manage the process.
- Build an app in Replit to retrieve YouTube video transcripts.
- Use Notion’s built-in AI to summarise video transcripts.
You’ll need:
Let’s see how it’s done.