Convert Figma logo to code with AI

jakearchibald logosvgomg

Web GUI for SVGO

5,756
476
5,756
111

Top Related Projects

20,817

⚙️ Node.js tool for optimizing SVG files

4,220

Progressive <svg> pie, donut, bar and line charts

12,644

Reproducing images with geometric primitives.

Simple raster image tracer and vectorizer written in JavaScript.

18,532

Stand-alone parallax scrolling library for mobile (Android + iOS) and desktop. No jQuery. Just plain JavaScript (and some love).

Quick Overview

SVGOMG is a web-based GUI for SVGO, a powerful SVG optimization tool. It allows users to easily optimize SVG files, reducing their size while maintaining visual quality. SVGOMG provides a user-friendly interface for configuring SVGO options and instantly previewing the results.

Pros

  • Easy-to-use web interface for SVG optimization
  • Real-time preview of optimization results
  • Extensive configuration options for fine-tuning the optimization process
  • Supports drag-and-drop file input and direct URL loading

Cons

  • Limited to web browser usage, no command-line interface
  • Depends on client-side processing, which may be slower for large files
  • Lacks batch processing capabilities for multiple files
  • May not be suitable for integration into automated workflows

Getting Started

To use SVGOMG, simply visit the official website at https://jakearchibald.github.io/svgomg/. From there, you can:

  1. Drag and drop an SVG file onto the page
  2. Paste SVG code directly into the input area
  3. Load an SVG file from a URL

Once your SVG is loaded, you can adjust the optimization settings using the sidebar controls. The preview will update in real-time, allowing you to see the effects of your changes. When satisfied with the results, you can download the optimized SVG or copy its code.

For developers interested in contributing to the project or running it locally:

  1. Clone the repository:
    git clone https://github.com/jakearchibald/svgomg.git
    
  2. Install dependencies:
    cd svgomg
    npm install
    
  3. Start the development server:
    npm start
    

This will launch a local version of SVGOMG that you can access in your web browser.

Competitor Comparisons

20,817

⚙️ Node.js tool for optimizing SVG files

Pros of SVGO

  • More comprehensive and customizable optimization options
  • Command-line interface for easy integration into build processes
  • Actively maintained with frequent updates and contributions

Cons of SVGO

  • Requires more technical knowledge to set up and use effectively
  • No built-in visual interface for immediate results
  • May require additional configuration for specific use cases

Code Comparison

SVGO (Node.js usage):

const svgo = require('svgo');
const result = svgo.optimize(svgString, {
  plugins: ['removeDoctype', 'removeXMLProcInst']
});
console.log(result.data);

SVGOMG (Browser usage):

// No direct code comparison available as SVGOMG is a web-based tool
// Users interact with the interface to optimize SVGs

SVGOMG provides a user-friendly web interface for quick SVG optimization, making it accessible to non-technical users. It offers instant visual feedback and allows for easy tweaking of optimization settings.

SVGO, on the other hand, is a more powerful and flexible tool that can be integrated into development workflows. It provides greater control over the optimization process but requires more setup and technical knowledge to use effectively.

Both tools serve different use cases and can be valuable depending on the user's needs and technical expertise.

4,220

Progressive <svg> pie, donut, bar and line charts

Pros of Peity

  • Lightweight and focused on generating small, inline SVG charts
  • Easy to use with minimal setup required
  • Supports multiple chart types (line, bar, pie, donut)

Cons of Peity

  • Limited customization options compared to SVGOMG
  • Not designed for optimizing existing SVG files
  • Less actively maintained (last update in 2018)

Code Comparison

Peity:

$('.pie').peity('pie')
$('.donut').peity('donut')
$('.line').peity('line')
$('.bar').peity('bar')

SVGOMG:

import { optimize } from 'svgo';

const result = optimize(svgString, {
  plugins: ['removeDoctype', 'removeXMLProcInst', 'removeComments']
});

Summary

Peity is a simple library for creating small, inline SVG charts, while SVGOMG is a powerful tool for optimizing and cleaning up existing SVG files. Peity is easier to use for quick chart generation, but SVGOMG offers more advanced features for SVG optimization and manipulation. The choice between the two depends on the specific use case and requirements of the project.

12,644

Reproducing images with geometric primitives.

Pros of Primitive

  • Creates artistic, low-poly representations of images
  • Supports multiple output formats (SVG, PNG, GIF)
  • Offers command-line interface for batch processing

Cons of Primitive

  • Limited to geometric shape-based image recreation
  • May not preserve fine details in complex images
  • Slower processing time for high-quality outputs

Code Comparison

SVGOMG (JavaScript):

const svgo = new SVGO(options);
const result = await svgo.optimize(svgString);

Primitive (Go):

model := primitive.NewModel(input.Image, output.Width, output.Height, bg)
for i := 0; i < numShapes; i++ {
    model.Step(shapeType, alpha, repeat)
}

Key Differences

  • SVGOMG focuses on optimizing existing SVG files, while Primitive generates new representations of raster images
  • SVGOMG is web-based, whereas Primitive is primarily a command-line tool
  • SVGOMG preserves original image structure, while Primitive creates abstract interpretations

Use Cases

SVGOMG:

  • Reducing file size of existing SVG assets
  • Cleaning up and standardizing SVG code
  • Quick online optimization for web graphics

Primitive:

  • Creating artistic renditions of photographs
  • Generating unique visual assets for design projects
  • Producing low-poly style illustrations

Simple raster image tracer and vectorizer written in JavaScript.

Pros of imagetracerjs

  • Supports tracing raster images to vector graphics
  • Provides more flexibility in tracing options and parameters
  • Can be used as both a Node.js module and in browser environments

Cons of imagetracerjs

  • Less user-friendly interface compared to SVGOMG's web-based tool
  • May require more technical knowledge to use effectively
  • Limited to tracing functionality, while SVGOMG offers broader SVG optimization

Code Comparison

imagetracerjs:

const ImageTracer = require('imagetracerjs');
ImageTracer.imageToSVG('image.png', function(svgstr) {
  console.log(svgstr);
});

SVGOMG:

// No direct code comparison available as SVGOMG is primarily a web-based tool
// Usage typically involves uploading an SVG file through the web interface

imagetracerjs focuses on converting raster images to vector graphics, offering programmatic control over the tracing process. SVGOMG, on the other hand, is a web-based tool primarily designed for optimizing existing SVG files, providing a user-friendly interface for various SVG-related tasks. While imagetracerjs offers more flexibility for developers, SVGOMG is generally easier to use for quick SVG optimizations without requiring coding knowledge.

18,532

Stand-alone parallax scrolling library for mobile (Android + iOS) and desktop. No jQuery. Just plain JavaScript (and some love).

Pros of skrollr

  • Lightweight and easy to implement for parallax scrolling effects
  • Supports mobile devices and responsive design
  • Allows for complex animations without relying on JavaScript callbacks

Cons of skrollr

  • Limited to scroll-based animations, less versatile for general SVG optimization
  • Requires more manual configuration for each animated element
  • May impact performance on pages with many animated elements

Code Comparison

skrollr:

<div data-0="background-color:rgb(0,0,255);" data-500="background-color:rgb(255,0,0);">
    This element will gradually change from blue to red as you scroll from 0 to 500 pixels
</div>

SVGOMG:

// No direct code comparison available as SVGOMG is primarily a GUI tool for SVG optimization
// It doesn't require embedding code in HTML like skrollr does

Summary

While skrollr excels in creating scroll-based animations and parallax effects, SVGOMG focuses on optimizing SVG files. skrollr offers more flexibility for interactive web experiences but may impact performance with complex animations. SVGOMG, on the other hand, is specifically designed for reducing SVG file sizes and improving their efficiency, making it more suitable for static graphic optimization rather than dynamic animations.

Convert Figma logo designs to code with AI

Visual Copilot

Introducing Visual Copilot: A new AI model to turn Figma designs to high quality code using your components.

Try Visual Copilot

README

SVGOMG!

SVGOMG is SVGO's Missing GUI, aiming to expose the majority, if not all the configuration options of SVGO.

Feature requests

Check out the issues to see what's planned, or suggest ideas of your own!

Running locally

Install dependencies:

npm install

Run dev server:

npm run dev