Why Was Youtube Comments Search Created?

A few days ago, I was watching the Google Gemini series launch event on YouTube. I was particularly interested in Project Mariner and wanted to see how others were reacting to it. However, I found that the video had over 600 comments, making it nearly impossible to read them all. I tried searching within the comments but was surprised to discover that YouTube doesn't offer a comment search feature!

This sparked the idea to build a simple tool to help anyone with a need to search through YouTube comments. A few days later, the Youtube Comments Search web tool was born.

What Features Does Youtube Comments Search Currently Offer?

Due to time constraints, the current version of Youtube Comments Search provides only two core features:

Searching YouTube video comments.
Downloading all comments from a video.

I’m actively working to make these features more user-friendly. The tool is completely free to use, and I hope you find it helpful.

If you have any feature suggestions or ideas, feel free to reach out to me at erlichliu@gmail.com.

What Features Will Youtube Comments Search Have in the Future?

Smarter Search Capabilities

In the future, Youtube Comments Search will leverage AI to enable more intelligent search functionalities. For instance, when you create a product introduction video, you’d naturally want to gain insights from the comments to better understand user feedback. However, as the number of comments grows, extracting meaningful insights becomes increasingly difficult.

I envision a feature where, if you search for "user needs," the tool will highlight user demands expressed through the comments—going beyond basic keyword matching to deliver actionable insights.

A Global Perspective on User Sentiments

After putting a lot of effort into creating a great video, you’re rewarded with views, likes, and positive feedback. However, some viewers may also express dissatisfaction. But how can you gauge the overall sentiment of your audience through their comments?

When there are only a few comments, understanding user attitudes is easy. But as the number of comments grows into the hundreds or thousands, objectively measuring user sentiment becomes challenging.

I hope to develop a feature that uses AI to generate a sentiment map, helping creators better understand their audience’s emotions through their comments.

In addition to these, many more features are on the horizon. I just wanted to share this vision with you. Thank you for your attention and support.

If you have any questions or requests, feel free to contact me at erlichliu@gmail.com.