How to Extract Key Points from YouTube Videos with AI

Have you ever felt frustrated with YouTube videos that are unnecessarily long? Maybe you just want the ingredients from a cooking video or need to find a specific item in a video game. Perhaps you’re too busy to sit through a three-hour marketing video and just want the key points. Well, today we’re going to solve that problem.

Try Flow on real video

Enter URL of any YouTube video, which contains captions and let the magic for us:

Creating Youtube Key Point extractor using AI Agents

An AI agent is an entity or system capable of perceiving its environment, processing that information, and taking actions to achieve specific goals or tasks. In this guide, we will use AI Agent to connect to Youtube Search tool and extract data from Youtube Link.

Power of Tool calling agent

Using FlowHunt, we’ll create a chatbot that extracts the essential content from YouTube videos and presents it to you in text format. The best part? You don’t even need to provide a specific link. Just mention a keyword, and our chatbot will automatically search for the top videos on that topic and use them as the source material.

How to make the Flow?

• Navigate to the “Flows” Tab: Click on the “Flows” tab to start a new project.
• Create a New Flow: Provide a name and a detailed description to keep track of its purpose.

• Add the Input and outputs: Use the Input Component and Output Component to define the ending point and starting point of the flow.

• Add Tool-Calling Agent: For this task, we’ll utilize the tool-calling agent, which is necessary for using the YouTube search tool.

• Add Optional features: There are optional features we can add to our agent to make it even better. One of these is the chat history component, which allows the chatbot to remember past conversations. This helps improve responses, especially if you weren’t satisfied with an answer or asked for something similar. Another optional component is the LLM component. While the tool-calling agent already comes prebuilt with GPT-4, this component lets us change the LLM model if needed.

• Add Youtube Search and URL Retriever tool: Next, we add our tools. We’ll include the YouTube search component so the LLM can find relevant videos based on your keywords. Additionally, we’ll add the URL retriever, which extracts the content from the video using its URL.

Guiding the Agent’s Thought Process

Now we can connect everything together. But we’re not done yet. Since the agent can think, we need to guide its thought process. We’ll do this by providing a specific prompt in the system message compartment. Once we’ve done that, we can start generating extracted content. Our prompt for this Flow:

you are a YouTube video content extractor. extract the content using youtube search tool to find the video and the URL retriever to extract the content. **make sure to present these content as in depth and detailed as possible** 

Example: Extracting Marketing Tips from Simon Squibb’s Videos

For example, I can ask the chatbot to give me marketing tips from Simon Squibb’s videos. As you can see, it will generate the most important tips from his videos on marketing.

You can fine-tune this process to generate detailed essays about the video or even extract the full transcript. But for now, this is the example we’ll use.

Conclusion

This Flow is a powerful tool that streamlines the process of extracting key points from YouTube videos, saving you time and effort. Whether you’re a professional seeking to distill complex information into actionable insights or a casual user looking for quick takeaways, FlowHunt can cater to your needs with its customizable and versatile features. By integrating advanced tools  and guiding the agent’s thought process, FlowHunt not only extracts content efficiently but also enhances your overall learning experience.