PromptCut

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  This is frontend of my ai also

In💡 Inspiration

Video editing is time-consuming, especially for creators, students, and marketers who just want to tell stories. Watching my friends and content creators struggle with hours of editing — from clipping footage to syncing music and adding captions — I wondered:

"What if editing could be as simple as typing a prompt?"

That's how PromptCut (formerly ReelGenie) was born — an AI tool that transforms raw footage and a short description into a ready-to-publish video inside Adobe Express. All with zero manual editing.spiration

What it does

🧠 What I Learned Building PromptCut taught me how to combine multiple fields:

Natural Language Processing (NLP) to interpret user prompts

Computer Vision for scene and silence detection

Video Editing automation with FFmpeg and MoviePy

Frontend development with React and Tailwind

Backend orchestration using FastAPI and Python

I also explored how SDKs like Adobe Express can host dynamic, AI-generated content directly within their platform.

How we built itflowchart LR

A[Upload Raw Video] --> B[User Prompt]
B --> C[Prompt Parser (NLP)]
A --> D[Scene Detector]
D --> E[Silence Remover]
C --> F[Editing Plan JSON]
E --> G[Video Chunks]
G --> H[Apply Transitions, Music, Captions]
H --> I[Final Video Rendered (FFmpeg)]
I --> J[Display in Adobe Express]

Challenges we ran into

Accomplishments that we're proud of

What we learned

What's next for PromptCut

Built With

• css
• ffmpeg
• llm
• natural-language-processing
• openai
• pyscene
• react
• tailwind