Bulk Image Processor Pro - User Guide Thank you for purchasing Bulk Image Processor Pro. This is a powerful, lightweight Python-based desktop utility designed to resize and watermark large batches of images simultaneously with a modern, clean graphical interface. 1. System Requirements Python 3.8 or higher installed on your system. Windows 10/11, macOS, or Linux. Internet connection (only for the initial setup to install libraries). 2.
Installation & Setup Follow these quick steps to get the application running on your computer: Step 1: Open your terminal or command prompt Navigate to the project folder where app.py and requirements.txt are located: cd path/to/BulkImageProcessor Step 2: Install required libraries Run the following command to automatically install all dependencies securely: pip install -r requirements.txt Step 3: Launch the application Run the main script to open the desktop application interface: python app.py 3.
How to Use the Application Source Folder: Click "Browse" to select the directory containing the images you want to process. Save Folder: Click "Browse" to choose where you want your newly processed images to be saved. Configure Resizing: Check the box to enable resizing, and input your desired target width and height in pixels. Configure Watermark: Check the box to enable a text watermark, and type your custom copyright or brand text.
Process: Click the "Start Bulk Processing" button. The progress bar will update in real-time. Supported Formats: The software safely detects and processes .jpg, .jpeg, .png, .bmp, and .webp file extensions automatically. 4. Support & Customisation For support, feature requests, or custom branding modifications, please reach out via our official profile page on SellAnyCode.
Features
High-Speed Multi-Threading for frozen-free processing.
Modern CustomTkinter Graphical User Interface (GUI).
Supports native Light and Dark operating system modes.
Smart Batch Resizing with crisp Lanczos filter optimization.
Custom text watermarking with automated font resizing.
Automatic handling of transparent PNG/WebP files.
100% clean, fully commented Python codebase.
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