Yes, I think that's one of the use cases for my project. If you're a YouTube creator, you've already invested a lot of care and energy into making your videos. If you could easily convert those videos in a fully automated way to written documents, complete direct transcripts, and other content like quizzes, then you can add those to your website and it should help you rank higher with search engines.
Once you have the complete direct transcripts and the optimized written documents, I think you could just use regular text search on that and it would work well-- something like Elastic or Algolia for a hosted option would work great. Even a prolific YouTuber probably isn't going to have more than a couple thousand pages worth of text to search through. But yeah, I guess you could also build semantic search on top of that.
I don't think speaker identification is that important for most videos-- they tend to just have a single narrator/speaker. In any case, the written documents that my tool creates just sort of ignores that aspect and turns it into more expository writing that conveys the same information. It's also hard to make a fully automated tool that does speaker identification where you know the identity of the speaker and it's not just Speaker1, Speaker2.
Thanks for your feedback! You should try submitting a video, it gives you free credits just for signing up so you can try it with a few videos.
I have been experimenting with making content libraries searchable. I found out that it is relatively easy to build one using a RAG solution (llamaindex or LangChain) and a Vector Database.
-Meera@VideoToBe.com