SVG Cleaner is described as 'Generally, SVG files produced by vector editors contain a lot of unused elements and attributes that just blow up their size without providing better visible quality' and is a Vector Graphic app in the photos & graphics category. There are more than 10 alternatives to SVG Cleaner for a variety of platforms, including Web-based, Mac, Windows, Linux and Self-Hosted apps. The best SVG Cleaner alternative is Inkscape, which is both free and Open Source. Other great apps like SVG Cleaner are Boxy SVG, SVG Viewer, SVG-Edit and SVGO.
Open source vector graphics editor with SVG support. Offers tablet support, non-destructive editing, and live previews. No registration needed, works offline, extensible with plugins, and provides privacy-focused, ad-free experience across multiple platforms.
Boxy SVG is a vector graphics editor simillar to Adobe Illustrator, Sketch and Inkscape. Made with and for the modern Web Platform. Can do illustrations, icons, banners, mockups, charts, buttons and more.
SVG-edit is a fast, web-based, JavaScript-driven SVG drawing editor that works in any modern browser.
AutoDraw is an intuitive drawing tool for everyone. It's a Google Experiment project that provides relevant suggestions as you draw, based on what it guesses you're drawing.
SVGOMG is SVGO's Missing GUI, aiming to expose the majority, if not all the configuration options of SVGO.
INSTAD.IO is a unique online restyler, transforming any chart or diagram into beautiful, high-resolution, hand-drawn illustrations. Breathe life into your diagrams without needing to code!.
Leanify is a lightweight lossless file minifier/optimizer. It removes unnecessary data (debug information, comments, metadata, etc.) and recompress the file to reduce file size. It will not reduce image quality at all.
Online SVG Cleaner and Minifier. Remove superfluous cruft and reduce the size of generated SVG files.
Scour is an SVG optimizer/cleaner written in Python that reduces the size of scalable vector graphics by optimizing structure and removing unnecessary data.
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