🎬 SNAPPIE: Smart Video Trimmer

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🧩 Overview

Smart Video Trimmer is a desktop GUI tool built with Tkinter, OpenCV, and MoviePy that allows you to:

• Load and preview any video file
• Set start and end frames interactively
• Play, pause, and stop video playback
• Preview selected trim segment
• Export the trimmed clip to HD (720×1080)
• Automatically log all trims in a CSV file

Perfect for editors, data scientists, and AI researchers handling video datasets.

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🛠️ Features

• 🎥 Frame-accurate trimming
• 🕹️ Full playback controls (Play / Pause / Stop)
• 🪄 In-app preview before saving
• 💾 Automatic trim log (logs/output.csv)
• 🧱 Modular, object-oriented architecture
• 📦 Easily packaged into .exe using PyInstaller

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⚙️ Installation

git clone https://github.com/MainakVerse/Snappie.git
cd Snappie
pip install -r requirements.txt

🚀 Usage

🚀 Usage

or build an .exe (Windows):

pyinstaller --onefile --noconsole --name "Snappie" main.py

📂 Folder Structure

video_trimmer/
├── main.py
├── gui.py
├── trimmer.py
├── utils.py
├── requirements.txt
├── logs/
│   └── output.csv
└── README.md

🧰 Requirements

opencv-python>=4.9.0
Pillow>=10.0.0
moviepy>=1.0.3
tkintertable>=1.3.3
numpy>=1.26.0
imageio[ffmpeg]>=2.34.0

Install all dependencies

pip install -r requirements.txt

🌟 Contributing

Pull requests are welcome! If you’d like to enhance features (e.g., thumbnails, filters, FFmpeg optimizations), please open an issue first to discuss your ideas.

Made with ❤️ by Mainak