Concept · 2025
Video Editor AI
An editing assistant for travel vlogs. It transcribes raw footage, surfaces audio-led moments worth keeping, and produces a clip-by-clip brief that tells the editor where natural audio beats voice-over.
ConceptAI agentsVideoTranscription
The problem
Editing travel footage is slow.
The bottleneck isn’t the cut — it’s finding which clips are worth keeping. Hours of footage hides minutes of moments that actually carry the story.
The approach
Find the audio-led moments. Hand the editor a brief.
- Transcribe everything. Every clip is transcribed with timestamps so the editor can search the trip the way they’d search a document.
- Surface what matters. Banter, crowd noise, reactions, and other audio-led moments get flagged with timestamp ranges and a one-line reason.
- Produce a brief. Final output is a clip-by-clip editing brief labelling each clip as Use / Optional / B-roll / Skip — with explicit guidance on where natural audio should stay and where voice-over fits.
Status
Concept stage. In active development. No public demo yet.
Stack
- Python
- Whisper
- LLM orchestration
- Final Cut Pro pipeline
- FFmpeg
- PDF brief output