VideoCutterAI 🎬🤖

VideoCutterAI is an AI-powered web tool that automatically finds and generates highlight clips from your videos. Upload a video, and let the app transcribe, analyze, and create beautiful highlight reels with AI-generated visuals and subtitles.

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Features

• 🎥 Automatic Video Transcription using OpenAI Whisper
• 🧠 Highlight Detection with Google Gemini AI
• ✂️ Clip Generation with smooth transitions
• 🖼️ AI-generated Visuals for each highlight
• 📝 Burned-in Subtitles for accessibility
• 💾 Downloadable Highlight Clips
• 🦾 Modern Flask Web App

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Royal & Modern UI

The interface is clean, modern, and inspired by royal blue and gold themes for a premium feel.

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Quickstart 🚀

1. Clone the repo:

   git clone https://github.com/yourusername/videocutterAI.git
   cd videocutterAI

2. Install dependencies:

   pip install -r requirements.txt

3. Set up environment variables:
   • Copy .env.example to .env and add your API keys:
     • GOOGLE_API_KEY (for Gemini)
     • FLASK_SECRET_KEY (any random string)
4. Run the app:

   python app.py

5. Open in browser:
   • Go to http://localhost:5000

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Environment Variables

Create a .env file in the root directory:

GOOGLE_API_KEY=your_google_gemini_api_key
FLASK_SECRET_KEY=your_flask_secret_key

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Project Structure

├── app.py                # Flask app
├── video_processor.py    # AI video processing logic
├── requirements.txt      # Python dependencies
├── templates/            # HTML templates
├── static/               # CSS/JS/Images
├── uploads/              # Uploaded videos
├── clips/                # Generated highlight clips
├── transcripts/          # Video transcripts
├── .env.example          # Example environment file
├── .gitignore            # Git ignore rules

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Credits & Inspiration

• Unsplash for royalty-free images
• OpenAI Whisper
• Google Gemini
• ffmpeg-python

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License

MIT License. See LICENSE for details.