NexPress - TypeScript Image Batch Processor CLI

A high-performance, multi-threaded command-line tool built with Node.js and TypeScript. It converts and compresses batches of images into efficient WebP format using worker threads for maximum speed.

Proof of Work: Reduced a 7.4MB raw image to just 0.19MB (~97% reduction)

⚡ Benchmarks

Tested on a standard machine processing a folder of 111 High-Res Images:

Metric	Result
Total Time	~4.5 seconds
Throughput	~25 images / sec
Success Rate	100%

vs. standard single-threaded scripts which typically take 4x-5x longer.

🚀 Features

• Multi-threaded Processing: Uses Node.js worker_threads to process images in parallel, utilizing all available CPU cores.
• Format Conversion: Automatically converts .jpg, .jpeg, and .png files to optimized .webp.
• Smart Path Handling: Supports both absolute system paths and paths relative to your home directory.
• Space Savings: Calculates and displays the amount of disk space saved per image in MB.
• Custom Quality: User-definable compression quality (1-100).
• Robust Error Handling: Graceful shutdowns and detailed error logging.

📦 Installation

You can use NexPress in three ways:

1. Global Installation (Recommended)

This installs the @codernex/nexpress command system-wide.

npm install -g @codernex/nexpress

2. Run Once with npx

Use it immediately without installing.

npx @codernex/nexpress --input=Desktop/photos --output=Desktop/compressed

3. Local Development / Building from Source

# Clone the repository
git clone https://github.com/codernex/nexpress
cd nexpress
# Install dependencies
npm install
# Build the project
npm run build
# Link globally for testing
npm link

🛠 Usage

If installed globally or linked, simply run nexpress:

nexpress --input=<path> --output=<path> [options]

📂 Path Flexibility

NexPress is smart about file paths. You can provide:

1. Relative Paths (from User Home): If you type Desktop/images, the tool looks in ~/Desktop/images (Linux/Mac) or C:\Users\You\Desktop\images (Windows).

nexpress --input=Desktop/raw --output=Desktop/processed

2. Absolute Paths: You can also provide the full system path.

nexpress --input=/home/user/Downloads/pics --output=/var/www/html/assets

Options

Option	Required	Description	Default
--input	✅	Source folder path (Absolute or relative to Home).	N/A
--output	✅	Destination folder path.	N/A
--quality	❌	Compression quality (1-100).	80
--help	❌	Displays the help menu.	N/A

Examples

Standard Compression (Default Quality: 80)

nexpress --input=Photos --output=CompressedPhotos

High Compression (Maximum Space Saving)

nexpress --input=Desktop/Wallpapers --output=Desktop/WebP_Small --quality=50

High Quality (Near Lossless)

nexpress --input=/mnt/data/raw --output=/mnt/data/optimized --quality=95

💻 Development

If you want to contribute or modify the code:

1. Clone and Install:

git clone https://github.com/codernex/nexpress
npm install

2. Run in Development Mode: You can run the script directly using ts-node.

# Run directly without building
npx ts-node src/index.ts --input=TestIn --output=TestOut

🏗 Architecture

The tool uses a Main Thread -> Worker Pool architecture:

1. Main Thread: Scans the input directory and creates a queue of image processing jobs.
2. Worker Threads: Each CPU core gets a worker. The main thread distributes jobs to workers dynamically.
3. Sharp: Inside the worker, the sharp library handles the actual image buffer manipulation and WebP conversion.

📝 License

This project is licensed under the MIT License.