Content AutomationLive
AI YouTube Shorts Generator
Manually finding and cutting engaging moments from long-form video into short-form content is time-consuming and doesn't scale.
Trigger
User supplies a full-length source video file.
Step-by-Step Workflow
- User supplies a full-length video
- Whisper AI transcribes the audio
- System detects key/high-interest scenes
- MoviePy/FFmpeg cuts and reformats selected scenes to vertical video
- Captions are generated and overlaid on the clip
- Short-form clips are exported
Inputs
- Source video file
Processing Steps
- Transcribe audio (Whisper AI)
- Detect key scenes (OpenCV)
- Cut and reformat to vertical video (MoviePy/FFmpeg)
- Generate and overlay captions
Outputs
- Multiple short-form vertical video clips ready for upload
Security Considerations
- All processing runs locally - no video content is uploaded to a third party
- Users are responsible for rights/licensing of source video content
Limitations
- Scene-detection quality varies with video content
- Processing time scales with video length and local hardware
Future Improvements
- Automatic thumbnail generation
- Direct upload/publish integration
- Improve scene selection using engagement-prediction signals