Awesome Open Source
Awesome Open Source

@funboxteam/optimizt

Optimizt avatar: OK sign with Mona Lisa picture between the fingers

npm

Optimizt is a CLI tool that helps you prepare images during frontend development.

It can compress PNG, JPEG, GIF and SVG lossy and lossless and create AVIF and WebP versions for raster images.

По-русски

Rationale

As frontend developers we have to care about pictures: compress PNG & JPEG, remove useless parts of SVG, create AVIF and WebP for modern browsers, etc. One day we got tired of using a bunch of apps for that, and created one tool that does everything we want.

Usage

Install the tool:

npm i -g @funboxteam/optimizt

Optimize!

optimizt path/to/picture.jpg

Command line flags

  • --avif — create AVIF versions for the passed paths instead of compressing them.
  • --webp — create WebP versions for the passed paths instead of compressing them.
  • --force — force create AVIF and WebP even if output file size increased or file already exists.
  • -l, --lossless — optimize losslessly instead of lossily (WebP and AVIF only).
  • -v, --verbose — show additional info, e.g. skipped files.
  • -V, --version — show tool version.
  • -h, --help — show help.

Examples

# one image optimization
optimizt path/to/picture.jpg

# list of images optimization losslessly
optimizt --lossless path/to/picture.jpg path/to/another/picture.png

# recursive AVIF creation in the passed directory
optimizt --avif path/to/directory

# recursive WebP creation in the passed directory
optimizt --webp path/to/directory

# recursive JPEG optimization in the current directory
find . -iname \*.jpg -exec optimizt {} +

Differences between “lossy” and “lossless”

JPEG

In lossy mode jpegoptim is used with flags: --strip-all, --all-progressive, --max=80.

Lossless mode uses Guetzli encoder with --quality 90 flag.

Guetzli aims for excellent compression density at high visual quality.

If you re-optimize the same file in lossless mode, the file size may decrease, but the visual quality will also degrade.

PNG

For both modes pngquant (lossy compressor) is used with flags: --speed 1, --strip.

GIF

For both modes gifsicle utility is used.

Following flags is used in lossy mode: -O3, --lossy=100.

In lossless mode no additional flags is used.

WebP & AVIF

For both modes sharp module is used.

In lossless mode an “lossless” option is used:

Integrations

External Tool in WebStorm, PhpStorm, etc

Add an External Tool

Open Preferences → Tools → External Tools and add a new tool with these options:

  • Program: path to the exec file (usually simply optimizt)
  • Arguments: desired ones, but use $FilePath$ to pass Optimizt the path of the selected file or directory
  • Working Directory: $ContentRoot$
  • Synchronize files after execution: ✔️

Set other options at your discretion. For example:

As you see on the screenshot above, you may add several “external tools” with the different options passed.

How to use

Run the tool through the context menu on a file or directory:

Shortcuts

To add shortcuts for the added tool go to Preferences → Keymap → External Tools:

Tasks in Visual Studio Code

Add Task

Run >Tasks: Open User Tasks from the Command Palette.

In an open file, add new tasks to the tasks array, for example:

{
  // See https://go.microsoft.com/fwlink/?LinkId=733558
  // for the documentation about the tasks.json format
  "version": "2.0.0",
  "tasks": [
    {
      "label": "optimizt: Optimize Image",
      "type": "shell",
      "command": "optimizt",
      "args": [
        "--verbose",
        {
          "value": "${file}",
          "quoting": "strong"
        }
      ],
      "presentation": {
        "echo": false,
        "showReuseMessage": false,
        "clear": true
      }
    },
    {
      "label": "optimizt: Optimize Image (lossless)",
      "type": "shell",
      "command": "optimizt",
      "args": [
        "--lossless",
        "--verbose",
        {
          "value": "${file}",
          "quoting": "strong"
        }
      ],
      "presentation": {
        "echo": false,
        "showReuseMessage": false,
        "clear": true
      }
    },
    {
      "label": "optimizt: Create WebP",
      "type": "shell",
      "command": "optimizt",
      "args": [
        "--webp",
        "--verbose",
        {
          "value": "${file}",
          "quoting": "strong"
        }
      ],
      "presentation": {
        "echo": false,
        "showReuseMessage": false,
        "clear": true
      }
    },
    {
      "label": "optimizt: Create WebP (lossless)",
      "type": "shell",
      "command": "optimizt",
      "args": [
        "--webp",
        "--lossless",
        "--verbose",
        {
          "value": "${file}",
          "quoting": "strong"
        }
      ],
      "presentation": {
        "echo": false,
        "showReuseMessage": false,
        "clear": true
      }
    }
  ]
}

How to use

  1. Open the file for processing using Optimizt, it should be in the active tab.
  2. Run >Tasks: Run Task from the Command Palette.
  3. Select the required task.

Shortcuts

You can add shortcuts for a specific task by run >Preferences: Open Keyboard Shortcuts (JSON) from the Command Palette.

An example of adding a hotkey to run the "optimizt: Optimize Image (lossless)" task:

// Place your key bindings in this file to override the defaults
[
  {
    "key": "ctrl+l",
    "command": "workbench.action.tasks.runTask",
    "args": "optimizt: Optimize Image (lossless)"
  }
]

Plugin for Sublime Text 3

You’ll find the user settings directory in one of the following paths:

  • macOS: ~/Library/Application Support/Sublime Text 3/Packages/User
  • Linux: ~/.config/sublime-text-3/Packages/User
  • Windows: %APPDATA%\Sublime Text 3\Packages\User

Add plugin

Inside the settings directory create a file optimizt.py with the following content:

import os
import sublime
import sublime_plugin

optimizt = "~/.nodenv/shims/optimizt"

class OptimiztCommand(sublime_plugin.WindowCommand):
  def run(self, paths=[], options=""):
    if len(paths) < 1:
      return

    safe_paths = ["\"" + i + "\"" for i in paths]
    shell_cmd = optimizt + " " + options + " " + " ".join(safe_paths)
    cwd = os.path.dirname(paths[0])

    self.window.run_command("exec", {
      "shell_cmd": shell_cmd,
      "working_dir": cwd
    })

Specify path to executable inside optimizt variable, this path can be obtained by running command -v optimizt (on *nix) or where optimizt (on Windows).

Integrate the plugin into the sidebar context menu

Inside the settings directory create a file Side Bar.sublime-menu with the following content:

[
    {
        "caption": "Optimizt",
        "children": [
          {
              "caption": "Optimize Images",
              "command": "optimizt",
              "args": {
                "paths": [],
                "options": "--verbose"
              }
          },
          {
              "caption": "Optimize Images (lossless)",
              "command": "optimizt",
              "args": {
                "paths": [],
                "options": "--lossless --verbose"
              }
          },
          {
              "caption": "Create WebP",
              "command": "optimizt",
              "args": {
                "paths": [],
                "options": "--webp --verbose"
              }
          },
          {
              "caption": "Create WebP (lossless)",
              "command": "optimizt",
              "args": {
                "paths": [],
                "options": "--webp --lossless --verbose"
              }
          }
        ]
    }
]

How to use

Run the tool through the context menu on a file or directory:

Workflow for GitHub Actions

Create optimizt.yml file in the .github/workflows directory of your repository.

Insert the following code into optimizt.yml:

name: optimizt

on:
  # Triggers the workflow on push events but only for the “main” branch
  # and only when there's JPEG/PNG in the commmit
  push:
    branches:
      - main
    paths:
      - "**.jpe?g"
      - "**.png"
  
  # Allows you to run this workflow manually from the Actions tab
  workflow_dispatch:

jobs:
  convert:
    runs-on: ubuntu-latest

    steps:
      # Install Node.js to avoid EACCESS errors upon install packages
      - uses: actions/[email protected]
        with:
          node-version: 14

      - name: Install Optimizt
        run: npm install --global @funboxteam/optimizt

      - uses: actions/[email protected]
        with:
          persist-credentials: false # otherwise, the token used is the GITHUB_TOKEN, instead of your personal token
          fetch-depth: 0 # get all commits (only the last one fetched by default)

      - name: Run Optimizt
        run: optimizt --verbose --force --avif --webp .

      - name: Commit changes
        run: |
          git add -A
          git config --local user.email "[email protected]"
          git config --local user.name "github-actions[bot]"
          git diff --quiet && git diff --staged --quiet \
            || git commit -am "Create WebP & AVIF versions"

      - name: Push changes
        uses: ad-m/[email protected]
        with:
          github_token: ${{ secrets.GITHUB_TOKEN }}
          branch: ${{ github.ref }}

This workflow will find all JPEG and PNG files in pushed commits and add the AVIF and WebP versions via a new commit.

More examples you can find in the workflows directory.

Troubleshooting

“spawn jpegoptim ENOENT”, “spawn guetzli ENOENT”, etc

Make sure that the ignore-scripts option is not active.

See #9.

“Cannot find libjpeg”, “pkg-config: command not found”, “fatal error: 'png.h' file not found”, etc

Some operating systems may lack of required libraries and utils, so you need to install them.

Example (on macOS via Homebrew):

brew install pkg-config jpeg libpng

“npm ERR! Cannot find libjpeg or you have too old version (v6 or later required)”

If this error occurs during installation and you have a Mac on an Apple M1 chip, then try installing with the following command:

CPPFLAGS="-I /opt/homebrew/Cellar/jpeg/9d/include" LDFLAGS="-L /opt/homebrew/Cellar/jpeg/9d/lib" npm i -g @funboxteam/optimizt

See #30.

Credits

Cute picture for the project was made by Igor Garybaldi.

Sponsored by FunBox


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