Remige - Forked Version of libSquoosh: Advanced Image Compression Framework for Superior File Size Reduction
Remige is an advanced image compression framework, built as a fork of libSquoosh. By integrating Squoosh's powerful image codecs directly into JavaScript applications, Remige offers unparalleled compression performance and file size reduction. Designed for compatibility with the latest Node.js versions, Remige enhances image processing with modern features and optimized efficiency, making it the go-to solution for developers seeking top-tier image optimization.
- Node.js Compatibility: Supports the latest Node.js versions, ensuring modern development compatibility.
- Direct Codec Integration: Integrates Squoosh's image codecs directly within JavaScript applications.
- Optimized Performance: Tailored for optimal performance in current development practices.
-
ImagePool for Efficiency: Efficiently manages parallel image processing through
ImagePool
. - Auto Optimizer: Includes an experimental auto optimizer for streamlined image compression.
- Web Development: Use Remige for compressing images in web applications, ensuring faster load times.
- Node.js Applications: Integrate Remige into Node.js projects for high-performance image processing.
-
Batch Processing: Manage and process large batches of images efficiently with
ImagePool
. - Image Preprocessing: Resize and preprocess images before encoding for various formats.
- Automated Workflows: Use Remige in CI/CD pipelines for automatic image optimization.
Every star on this repository is a sign of encouragement, a vote of confidence, and a reminder that our work is making a difference. If this project has brought value to you, even in the smallest way, please consider showing your support by giving it a star. ⭐
"Star" button located at the top-right of the page, near the repository name.
Your star isn’t just a digital icon—it’s a beacon that tells us we're on the right path, that our efforts are appreciated, and that this work matters. It fuels our passion and drives us to keep improving, building, and sharing.
If you believe in what we’re doing, please share this project with others who might find it helpful. Together, we can create something truly meaningful.
Thank you for being part of this journey. Your support means the world to us. 🌍💖
- Step 1: Install Remige in your local project with:
$ npm install remige
-
Step 2: To use Remige, import
ImagePool
and set up your image processing pipeline:
import { ImagePool } from "remige";
import { cpus } from "os";
const imagePool = new ImagePool(cpus().length);
Ensure to only create one ImagePool
instance to avoid memory issues during parallel image processing.
All API remains same as @squoosh/lib
Ingest images using imagePool.ingestImage()
, accepting ArrayBuffer
from fs.readFile()
or fetch()
.
import fs from "fs/promises";
const file = await fs.readFile("./path/to/image.png");
const image = imagePool.ingestImage(file);
Preprocess and encode images to various formats:
const preprocessOptions = {
resize: {
width: 100,
height: 50,
},
};
await image.preprocess(preprocessOptions);
const encodeOptions = {
mozjpeg: {}, // default settings
jxl: {
quality: 90,
},
};
const result = await image.encode(encodeOptions);
Close the ImagePool
pipeline to prevent ingesting and encoding new images:
await imagePool.close();
Write encoded images to the file system:
const rawEncodedImage = image.encodedWith.mozjpeg.binary;
await fs.writeFile("/path/to/new/image.jpg", rawEncodedImage);
Extract decoded and encoded image information:
console.log(await image.decoded);
console.log(image.encodedWith.jxl);
Remige includes an experimental auto optimizer:
const encodeOptions = {
mozjpeg: "auto",
};
Identical Images but Different Size: Magic of Remige
This project is licensed under the Apache License 2.0.
We’re always open to contributions and fixing issues—your help makes this project better for everyone.
If you encounter any errors or issues, please don’t hesitate to raise an issue. This ensures we can address problems quickly and improve the project.
For those who want to contribute, we kindly ask you to review our Contribution Guidelines before getting started. This helps ensure that all contributions align with the project's direction and comply with our existing license.
We deeply appreciate everyone who contributes or raises issues—your efforts are crucial to building a stronger community. Together, we can create something truly impactful.
Thank you for being part of this journey!
For any questions, please reach out via hello@darsan.in or LinkedIn.
Remige is a forked version of libSquoosh, originally developed and maintained by the GoogleChromeLabs. We credit the Squoosh team for their foundational work and contributions to image compression technology.
- image compression
- Node.js library
- JavaScript codecs
- image optimization
- Squoosh fork
- modern development
- parallel processing
- image encoding
- image resizing
- web development
- batch processing
- auto optimizer
- Node.js integration
- CI/CD pipelines
- performance enhancement
- image preprocessing
- high-performance tools
- open-source projects
- image processing pipeline
- memory management