How to Use Python and ChatGPT API to Summarize YouTube Videos

I often have a problem of wanting to post many YouTube videos on my blogs, but struggle with how much time it takes to put the posts together. One of the best uses of generative AI is the ability to quickly and easily a way to summarize videos. The cool thing is taking APIs and automating blogging YouTube videos.  There is a good article on how to loop through a playlist, and blog each video with a video summary. The article uses OpenAI's ChatGPT and I have managed a script, but the problem is that you have to pay for using the API. So I found out that there is a long list of models that allow you to summarize a YouTube video easily. But I want to batch it 

Here are some generative AI platforms that offer APIs for summarizing YouTube videos and can be called from a Python script:

1. NoteGPT: Provides an API for generating summaries of YouTube videos.

2. Stack AI: Uses anthropic models to summarize YouTube videos.

3. : An AI tool that generates text summaries of YouTube videos.

4. : Offers transcription and summarization services for YouTube videos.

5. Krisp: Provides a free YouTube summarizer tool that generates concise summaries.

6. Eightify Merlin: Known for summarizing lengthy YouTube videos.

7. Glasp: Another tool for summarizing YouTube videos.

8. You-tldr: Simplifies YouTube video summarization with a user-friendly interface.

9. Notta: Best for generating transcriptions and summaries.

10. WordTune: Summarizes lengthy YouTube videos effectively.

As an example, NoteGPT, has a lot of functions and applications but I could not get the API to work for my code. It would not generate a summary, but would work regardless if the video has captions or Transcripts or nothing. Summarize.Tech does not work on video if the video does not have a transcript enabled. In the coming days I eill try to test Fireflies.ai and Notta.