🎬 Narrating over a video using multimodal AI
⚡ 9,818 views · 🎬 Content Creation & Video
Description
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
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
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.
🔗 Nodes Used
Edit Image, HTTP Request, Google Drive, Basic LLM Chain, OpenAI Chat Model, Convert to File
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File