[Official] Brute force image optimization.


Keywords
image, optimization, compression, image-compression, image-optimization, javascript, nodejs, page-speed, typescript, web-performance
License
MPL-2.0
Install
npm install imager-io@0.1.2

Documentation

Imager for JavaScript

Features

Brute Force Image Optimization

Optimizes the compression using ML based metrics in a trial ’n error sorta manner.

This is a tool that can competitively optimize (e.g.) extremely noisy, high resolution images; at the expense of increased encoding time and CPU overhead. This is a tradeoff that should be suitable for over 90% of online content, where site performance matters.

It's pretty easy too.

$ npm install --save imager-io

Using the JavaScript non-blocking API:

const {ImageBuffer} = require("imager-io");
ImageBuffer
	.open("source-image.jpeg")
	.then(buffer => buffer.opt())
	.then(buffer => buffer.save("result.jpeg"))
	.then(() => console.log("done"));

Compression Benchmarks

source        : ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 39.00M (4 images)
kraken.io     : ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 24M
jpegmini.com  : ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 16M
compression.ai: ▇▇▇▇▇▇▇▇ 8.90M
imager        : ▇▇▇▇ 4.20M

Supported Input Image Formats

Format Decoding
PNG All supported color types
JPEG Baseline and progressive
GIF Yes
BMP Yes
ICO Yes
TIFF Baseline(no fax support) + LZW + PackBits
WebP Lossy(Luma channel only)
PNM PBM, PGM, PPM, standard PAM

Essentially supports any image decodable by image-rs.

Supported Output Image Formats

These are your optimization targets (for lack of a better name). It’s a bit higher level, since e.g. rate control is automatically handled.

Format Encoding
JPEG progressive

Webpack

It’s possible and pretty easy to use Webpack and Imager already, here is an example.

Feedback, Requests, Bugs, Confusion & Performance Issues

Just use the GitHub issue tracker for this project.

Other Miscellaneous

Self Contained

Our npm releases contain prebuilt native node libraries (i.e. the rust code). With eventual plans for WASM support.

Articles


Copyright 2019 Colbyn Wadman