How I Automated Video Editing with AI (gpt-o3-mini-high) EASY
📌 Free AI n8n guides in my Skool community 👇👇
https://www.skool.com/the-ai-forge/about
In this video, I test OpenAI’s new gpt-o3-mini-high model to automate my a part of my video editing process. This could be a nice tool for editors to speed up their process. I did it all without writing a single line of code since I wanted to show the possibilities in app creation that you could have while using this model.
I walk through the four main tasks: generating a Python script, fixing outdated code, adding debugging logs, and optimizing AI-driven editing to remove duplicates and improve flow. I also analyze the AI’s performance, reducing a 28-minute raw video down to just 8 minutes. If you’re interested in AI-powered automation for video editing, this experiment showcases the potential of large language models.
timestamps:
00:00 - Intro
00:17 - 4 Tasks
01:30 - The chat with gpt-o3-mini-high
03:00 - Improving Debugging with JSON Logs
03:30 - AI Adjustments Based on Specific Code Functions
03:54 - Breaking Down the Main Process in the Code
04:26 - Using AI to Detect and Transcribe Video Segments
05:00 - AI-Driven Text Cleaning and Repetition Removal
06:00 - Adjusting AI’s Segmentation for Better Results
07:00 - Testing the Model on a Full-Length Video
08:56 - Like & Subscribe !
