HEIC to JPG Converter

This Python script efficiently converts HEIC (High-Efficiency Image Format) files to JPG format, now with parallel processing for faster conversions, enhanced user experience, and automatic preservation of EXIF metadata.

Key Improvements

• Parallel Processing: Utilizes ThreadPoolExecutor for concurrent conversion of HEIC files, improving the speed of batch conversions.
• Command-Line Interface (CLI): Interact with the script directly using command-line arguments for easier execution and fine-tuning.
• Optimized Image Processing: Leverages the pillow-heif library for efficient HEIC processing.
• Improved Error Handling: More robust error management ensures smoother execution.
• Progress Tracking: Track the conversion progress for large file sets.
• Enhanced Folder Management: Confirms user intent before potentially overwriting existing output directories.
• Quality Control: Customize the output JPG quality (1-100) with a simple command-line option.
• EXIF Metadata Preservation: Retains important metadata such as camera details, timestamps, and location information in the converted JPG files.

What this code does ?

This script allows you to seamlessly convert multiple HEIC files into JPG format with control over the quality and parallel processing options.

• Automated Output Directory: Creates a dedicated folder named "ConvertedFiles" within the HEIC directory to store the converted JPGs.
• Parallel Conversion: Process multiple files simultaneously by specifying the number of workers using the -w argument.
• Quality Control: Specify the desired JPG image quality using the -q argument.
• EXIF Metadata Preservation: Automatically extracts and includes metadata from HEIC files into the output JPGs.
• Error Handling: Skips individual files that encounter errors without halting the entire process.

Installation

1. Install the required dependency: pip install pillow pillow-heif
2. Run the Script:

python main.py <path/to/your/heic/directory>

Set JPG quality (1-100):

python main.py -q 90 <path/to/your/heic/directory>

Set the number of parallel workers:

python main.py -w 8 <path/to/your/heic/directory>

Combine quality and parallel workers:

python main.py -q 90 -w 8 <path/to/your/heic/directory>

Features

• Parallel Processing: Convert multiple HEIC files concurrently for faster performance.
• User-friendly CLI for efficient conversion.
• Optimized HEIC processing for faster performance.
• Robust error handling for a smooth user experience.
• Informative progress tracking.
• Flexible output directory management.
• Quality control for JPG output.
• EXIF Metadata Preservation: Retains critical metadata like camera details, timestamps, and location data in the converted files.

This script provides a highly efficient and flexible solution for converting HEIC images to JPG format, making it ideal for both small and large-scale conversions.