Today, I would like to introduce a video content analysis tool based on DeepSeek API and AI IDE, which allows you to easily analyze YouTube content.

Instant Access to Core: Project Introduction and Function Demonstration (0:00)

Are you still manually sifting through lengthy video comments, struggling to find genuine audience feedback? Are you still racking your brain to summarize video highlights and extract key information? This tool will completely free your hands! It canautomatically analyze video subtitles and comments, providingintelligent content summaries, allowing you to quickly grasp the core content of the video and audience sentiments.

Simply enter the YouTube video link to obtain:

• Summary of Video Subtitle Content: Extract key information from the video and quickly understand the video topic.
• Summary of Comment Content: Analyze audience feedback and understand user opinions and suggestions regarding the video.
• Details of Comment Content: Gain insights into each comment, including likes, publication time, etc., so you don’t miss any details.
• Details of Subtitle Content: View complete subtitle content for deeper text analysis.

What’s even more exciting is that this tool not only supportssingle video analysis but also supportssubtitle dialogue and batch processing functions.

• Subtitle Dialogue: You can ask questions based on the video subtitle content, and the AI will respond based on the subtitle content, enabling deeper interaction and information mining. For example, you can ask, “What advantages are mentioned in the video?” and the AI will provide answers based on the subtitle content.
• Batch Processing: Enter the YouTube channel ID to obtain recent video subtitle summaries, comment summaries, and other information with one click, greatly improving analysis efficiency, especially suitable for channel operators.

Open Source Support: Project Code Open Source Introduction (3:31)

This tool has been open-sourced on GitHub! Project address:https://github.com/nicekate/AI-youtube-insight

In the open-source project, you can find the complete code and detailed documentation, making it easy for you to customize and further develop according to your needs.

Data Treasure: YouTube Data API Usage Guide (4:13)

The core of this tool is the YouTube Data API, which provides rich interfaces that allow you to access various data on the YouTube platform. In the video, I also detail how to obtain the YouTube Data API key and demonstrate how to use the API to obtain video comments and other data.

Through the YouTube Data API, you can not only obtain comment data but also access video view counts, likes, favorites, publication times, channel information, and more, providing comprehensive data support for your content creation and operations.

Project Architecture and Code Structure Detailed Explanation (5:48)

To help everyone understand and use it, I have provided a detailed explanation of the overall architecture and code structure of the project, including the functions of each module and their inter-calling relationships.

By understanding the project architecture and code structure, you can better grasp the operational principles of the tool and modify and extend it according to your needs.

AI Assistance: AI Generated Code Review Points and Efficient Usage Tips (6:50)

To use AI more efficiently, you can refer to the following points:

Integration: Rules and Steps for Developing Applications with AI (8:58)

The rules and steps for developing applications with AI are as follows:

1. Requirement Analysis: Clarify what functions your application needs to achieve and what effects to reach.
2. Architecture Design: Design the overall architecture of the application, including the functions of each module and data flow.
3. Writing Prompts: Based on requirements and architecture design, write clear and specific prompts to guide AI in generating code.
4. Code Review and Testing: Review and test the code generated by AI to ensure code quality and functional correctness.
5. Iterative Optimization: Continuously iterate and optimize the application’s functions and performance based on testing results and user feedback.

Resources:

https://github.com/nicekate/AI-youtube-insight