Narrating over a video using multimodal AI

This n8n template takes a video and extracts frames from it which are used with a multimodal LLM to generate a script. The script is then passed to the same multimodal LLM to generate a voiceover clip.

This template was inspired by [Processing and narrating a video with GPT's visual capabilities and the TTS API](https://cookbook.openai.com/examples/gptwithvisionforvideounderstanding)

How it works Video is downloaded using the HTTP node. Python code node is used to extract the frames using OpenCV. Loop node is used o batch the frames for the LLM to generate partial scripts. All partial scripts are combined to form the full script which is then sent to OpenAI to generate audio from it. The finished voiceover clip is uploaded to Google Drive.

Sample the finished product here: [https://drive.google.com/file/d/1-XCoii0leGB2MffBMPpCZoxboVyeyeIX/view?usp=sharing](https://drive.google.com/file/d/1-XCoii0leGB2MffBMPpCZoxboVyeyeIX/view?usp=sharing)

Requirements

OpenAI for LLM Ideally, a mid-range (16GB RAM) machine for acceptable performance!

Customising this workflow

For larger videos, consider splitting into smaller clips for better performance Use a multimodal LLM which supports fully video such as Google's Gemini.