HEIC to JPG Converter

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

Key Features

• 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.
• Recursive Directory Support: Search and convert HEIC files in subdirectories with a single command.
• Custom Output Directory: Specify a custom location for your converted files.
• Resize Option: Automatically resize images during conversion.
• Delete Originals: Option to automatically remove original HEIC files after successful conversion.
• 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/HEIF files into JPG format with control over the quality, parallel processing options, and more advanced features.

• Automated Output Directory: Creates a dedicated folder (default: "ConvertedFiles") to store the converted JPGs.
• Parallel Conversion: Process multiple files simultaneously by specifying the number of workers.
• Directory Structure Preservation: Maintains folder hierarchy when using recursive mode.
• Quality Control: Specify the desired JPG image quality.
• 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.
• Performance Statistics: Provides detailed information about conversion times and success rates.

Installation

• Install the required dependencies:

pip install pillow pillow-heif

• Run the Script:

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

Usage Examples

Basic usage:

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

Process files recursively in subdirectories:

python main.py -r /path/to/your/heic/directory

Resize images during conversion:

python main.py --resize 1920x1080 /path/to/your/heic/directory

Specify a custom output directory:

python main.py -o /custom/output/path /path/to/your/heic/directory

Delete original HEIC files after conversion:

python main.py -d /path/to/your/heic/directory

Combine multiple options:

python main.py -q 90 -w 8 -r --resize 1920x1080 -o /custom/output/path /path/to/your/heic/directory

Command-Line Options

| Option | Description | |--------|-------------| | -q, --quality | Output JPG image quality (1-100). Default is 90. | | -w, --workers | Number of parallel workers for conversion. Default is 4. | | -o, --output | Custom output directory. Default is 'ConvertedFiles' in the source directory. | | -r, --recursive | Search for HEIC files in subdirectories. | | --resize | Resize images (format: WIDTHxHEIGHT, e.g., 1920x1080) | | -d, --delete-originals | Delete original HEIC files after successful conversion. | | -v, --verbose | Enable verbose logging. |

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.