FFmpeg Pro Toolkit (Mr. Alvin Rocks) A powerful, Python-based GUI application for advanced FFmpeg media processing. Easily batch convert, trim, scale, and manipulate video and audio files with full drag-and-drop support and hardware acceleration.
📚 Table of Contents Features
Prerequisites and Installation
Usage
Contributing
Note: If you prefer not to use a compiled .exe file and are comfortable with Python, simply download the FFMPEG UI.py file from the code repository and run it directly!
🌟 Features 🗂️ Drag-and-Drop Batch Processing: Powered by tkinterdnd2, instantly load multiple media files by dragging them directly into the application window for bulk processing.
🔄 Format Shifting: Seamlessly convert media to popular formats including .mp4, .mkv, .mov, .avi, .flv, and .webm.
🎵 Advanced Audio Extraction: Extract audio to MP3 format. Includes options to keep the original video frame as Album Art or inject your own custom image cover (-id3v2_version 3).
🖼️ Audio-to-Video Creation: Merge an audio file with a static image to generate an MP4 video (perfect for podcasts or music uploads).
🎞️ Optimized GIF & Thumbnail Creation: Generate high-quality GIFs with optimal palette generation (palettegen & paletteuse) or extract high-quality JPG thumbnails from specific timestamps.
🚀 Hardware Acceleration: Built-in support for AMD AMF (h264_amf) encoding for blazing-fast rendering speeds, with automatic fallback to standard libx264.
✂️ Precision Trimming: Use the HH:MM:SS input boxes to specify exact start and end times to trim your media without leaving the app.
📺 Video Filters: Instantly scale your video resolution (1080p, 720p, 480p) or apply a Grayscale (Black & White) filter.
📊 Live Progress & Logging: Parses FFmpeg data in real-time to display an accurate progress bar and percentage, alongside a detailed scrolling log window.
🎨 Dynamic Animated UI: Features a sleek dark mode interface with a custom "breathing" rainbow header and progress UI.
⚙️ Prerequisites To run or develop the FFmpeg Pro Toolkit, ensure your system meets the following requirements:
✅ System Requirements Operating System: Windows, macOS, or Linux
Python Version: 3.7 or higher
FFmpeg: Must be installed and added to your system's PATH.
📥 Installation 🛠️ Core Dependencies FFmpeg: The core multimedia framework required to process the files.
Installation: Download from the FFmpeg official website. Make sure to add the bin folder to your system's Environment Variables (PATH).
Python Libraries:
tkinter: Standard GUI toolkit (usually bundled with Python).
tkinterdnd2: Required for the drag-and-drop functionality.
Installation: Run pip install tkinterdnd2 in your terminal or command prompt.
🧰 Development Tools (Optional) PyInstaller: If you wish to convert this Python script into a standalone .exe file.
Installation: Run pip install pyinstaller.
🚀 Usage Running the Application Ensure FFmpeg is installed and accessible via your command line.
Navigate to the folder containing the script.
Run the application via terminal: python "FFMPEG UI.py"
Processing Media Files Load Files: Drag and drop your video/audio files directly into the "DROP MEDIA FILE(S) HERE" zone, or click "Browse Files".
Select Action: Choose your desired operation from the Left Column:
Convert to MP4 (Optional: check the box to use a static image for Audio-to-MP4).
Format Shift (Select MKV, MOV, AVI, etc., from the dropdown).
Extract Audio (Optional: check boxes to map Album Art).
Create GIF or Extract Thumbnail.
Apply Edits (Optional): In the Right Column, you can:
Enable AMD AMF Hardware Acceleration.
Change resolution or apply a Grayscale filter.
Set Start and End times to trim the media.
Execute: Click the green ▶ RUN BATCH PROCESS button.
Output The application processes files in the exact same directory as your original input files.
Modified files are saved with intuitive suffixes (e.g., _processed.mp4, _audio.mp3, _animated.gif, _thumbnail.jpg) so your original files are never overwritten.
🤝 Contributing Contributions are welcome! Please fork the repository, make your improvements (e.g., adding NVIDIA NVENC support, more video filters, etc.), and submit a pull request.