I want to sort YouTube videos into different categories like comedy, nature documentaries, tutorials, and similar types. The problem is that most YouTubers don’t add proper tags to their videos, which makes it really difficult to organize them automatically. I’m working on building a system where I can filter videos based on what I feel like watching at the moment. For example, sometimes I want educational content, other times I just want entertainment. Does anyone know if there are existing tools, APIs, or libraries that can analyze video content and automatically put them into categories? I’ve been searching but haven’t found a good solution yet. Any suggestions would be appreciated.
totally agree! the youtube api helps, but python’s where the magic happens. u can extract transcripts and analyze thumbnails too. using sentiment and topic detection libraries can really boost your sorting accuracy. yeah, it’s a bit of work but definitely pays off!
I’ve done something similar for my media server. YouTube’s API gives you basic metadata, but you’ll need to combine a few approaches for actual content classification. I pulled video descriptions and titles, then ran them through a text classification model - Google Cloud’s Natural Language API or Azure’s Text Analytics both work well. Here’s what I learned: descriptions give you way better classification signals than just titles. Don’t forget channel info either - most creators stick to their niche. For better accuracy, train a custom model on your specific categories. You’ll need to manually label a dataset first, which is tedious, but once it’s running it handles new videos pretty reliably.