I Built an SVG Toolkit Because I Needed to Parse SVG Properly
SVG looks simple.
It is just XML.
It is just paths and shapes.
It is just vectors.
Until you actually try to manipulate it.
I built ilovesvg.com because I kept running into real SVG parsing problems while working on projects. Not theoretical ones. Practical, annoying edge cases.
I needed reliable SVG tooling. So I built it.
The Problem: SVG Is Simple Until It Isn’t
The moment you try to do anything beyond display an SVG, things get complicated:
- viewBox does not match width and height
- Inline styles override attributes
- Paths contain transforms
- Colors are defined in multiple places
- Stroke widths behave differently under scaling
- Files contain unnecessary metadata
- Embedded raster images bloat file size
If you want to resize, recolor, clean, minify, convert, or extract dimensions correctly, you cannot treat SVG as just a static file. You have to parse it deliberately.
That is what pushed me to build proper tooling instead of relying on snippets.
The Core Idea
ilovesvg.com is not just a converter site.
It is a collection of focused SVG utilities built around one idea:
If you are going to manipulate SVG, you need predictable parsing and clear transformations.
Each tool solves one specific problem cleanly.
SVG → Raster and PDF
Sometimes you need vectors.
Sometimes you need a PNG for social, a JPG for legacy systems, or a PDF for print.
So I built dedicated routes for:
- SVG to PNG
- SVG to JPG
- SVG to WebP
- SVG to PDF
The goal was consistent rendering, not hoping a browser interprets it the way you expect.
SVG Utilities I Personally Needed
These came directly from real use cases.
Background editor
Many SVGs are transparent. Sometimes you need a white background. Sometimes you need a specific hex color.
Resize and scale editor
Scaling correctly means respecting viewBox, transforms, and stroke behavior.
Recolor
Changing fill and stroke values across nested groups requires structured parsing.
Minifier and cleaner
Removing metadata and unnecessary attributes without breaking structure.
Stroke width editor
Scaling strokes intentionally instead of accidentally.
Flip and rotate
Applying transformations without corrupting geometry.
Dimensions inspector
Understanding intrinsic width, height, and viewBox quickly.
File size inspector
Seeing what is actually contributing to weight.
Accessibility and contrast checker
SVG icons still need accessible contrast and structure.
These are not flashy features. They are practical.
SVG vs IMG and Embed Code
When should you inline SVG?
When should you use an <img> tag?
How should you embed for performance and styling flexibility?
That became its own route because the answer depends on how you plan to use the graphic.
Base64 Support
If you have ever embedded SVG in CSS or HTML directly, you have dealt with Base64 encoding.
So I added:
- SVG to Base64
- Base64 to SVG
Predictable in, predictable out.
Raster → SVG
Vectorization is another rabbit hole.
I added routes for:
- PNG to SVG
- JPG to SVG
- WebP to SVG
- Logo to SVG
- Icon to SVG
- Sketch, scan, and drawing to SVG
- Image and photo outline extraction
These are controlled transformations designed for specific use cases.
The important part was handling structure consistently instead of just wrapping an image inside an SVG tag.
What Building This Taught Me About SVG
- viewBox is everything.
- Scaling without understanding stroke behavior causes visual bugs.
- Inline styles complicate transformations.
- Many SVG files contain unnecessary junk.
- Clean parsing matters more than clever UI.
SVG is powerful because it is structured. But that structure only helps you if you respect it.
Why Build Instead of Use Existing Tools?
Because I wanted control over parsing behavior.
When you rely on black box tools, you cannot predict:
- What gets stripped
- What gets preserved
- What gets rewritten
- How transforms are applied
Building my own forced me to define rules explicitly.
That clarity carries over into every project where I manipulate SVG.
The Bigger Pattern
I tend to build tools around topics I want to understand deeply.
MorseWords helped me understand parsing and boundaries.
ilovesvg helped me understand SVG as a structured language, not just a file format.
Building small, focused utilities is one of the fastest ways to understand something technical at a deeper level.
If you work with SVG regularly, what has been your biggest pain point?
Parsing? Scaling? Cleaning? Converting?
You can check out the toolkit here:
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