I have tried to use ChatGPT and Google's Gemini to make SVG from simple logos bitmaps but its still a daunting task for them, so I guess tools like this one will still be needed for a while.
I use this often when I need to work with individual path commands, it’s a great tool!
Same! My use case is 2d splines for use in openSCAD, stuff that eventually arrives at my doorstep from a 3d printing service. I just love the ability to overlay reference bitmaps, super valuable for the parts I've been making.
Before stumbling upon this tool, I've spent a lot of time tweaking SVP paths in "mostly manual" files in other projects, it's a recurring theme for me. I was delegating the more interesting paths to Inkscape or similar, but keeping the basic structure handwritten. This tool would have made my life so much easier!
I keep trying to generate SVG using LLMS when I feel mermaidjs does not work. There has to be a better option here? I just want slightly more control than mermaidjs sometimes, but it seems its the de-facto default we are stuck with.
For this looking to vectorize raster image: Corel Draw is a good tool I used to use.
albeit, it is heavy tool that comes with lots of feats.
Nice! I like how it highlights the commands when you hover over them, allowing you to see what they actually do.
Gemini-cli made very good laser cutter methinks. Inkscape drove me nuts. From shape to GCODE directly. SVG considered superfluous.
https://github.com/timonoko/laser-cutting-contoursVery cool! I wish more editors would exist as web services, easily solving the cross-platformity that way.
This isn't a web service. It's a browser-based tool that runs entirely on your device. It's published as a static site on GitHub Pages, and ("but"?) everything it's doing is all happening fully in-browser.
It is a web service. It is just a simple one that doesn't need to execute any stuff on backend/server.
That makes it a document not a service.
Save the file and run it at will, just like any other local app.
The app runs in an interpreter which is a browser instead of python and a load of libraries, which is no distinction at all.
I think you are right.
I'm in the opposite camp. Give me some local tool that does disappear when the maintainer moves to the next thing.
Well and I can eat the cake as well, make it some native app that has proper performance.
What is the problem with this app's performance?
> Give me some local tool that does disappear when the maintainer moves to the next thing.
This is open source, so whether or not it's a web app should make no difference here
It is a local tool. You have what you say you want already.
It just uses a browser as the interpreter environment and super effortless one-click instantaneous install process.
But it is local, it's just a web service.
Useful! I like that it does not produce crude floating point numbers, but keeps the clean integers.
I wonder how easy it would be to add a "Save as NAPLPS" option.
Does it support converting between line segments and bezier curves smoothly?
Yes
We need a way to define precision of the grid.
What do you mean? You can change the interval for the tick mark labels.
cool stuff, the favicon could even replicate the current svg state
I tried it in Firefox and Chrome, but changing the SVG shape did not change the favicon displayed on the tab. I don't think I understand what you meant.
PS: This submission of mine is at least a day old, but it now shows as posted about 3 hours ago; I presume this is because it is from the second-chance pool.
I think they meant it as a feature suggestion (given that it should be easy to implement since SVG files can be used as favicons).
yes indeed
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If you search for ‘vectorization AI’ there are a handful of specialized tools and apis that can do it. It worked well for a handful of logos I wanted to convert. Nano banana generated the raster logos, and these other tools vectorized them
I haven't seen one that worked properly—can you list a couple examples? Some of the ones that say they're "AI" are just VTracer / Potrace and don't give nice control points.
I liked the results of vectorizer.ai and recraft.ai
Input image is important too. When working with the generalist LLM on the raster art, give it context that you are making a logo, direct it to use strokes and fills and minimal color palette, readable at small sizes, etc.
vectorizer.ai is amazing. It's worked great for like over 10 years (back when it had a name like vector magic or something). I'm super curious how it's implemented
Even inkscape can do this
But only gives useful results some of the time. But I don't know if "vectorization AI" is already better.
Others have mentioned SVG AI tools... I've tried 3-4 over the previous days and eventually ended up with svgai.org (after I've used Google Gemini for bitmap).
You can instruct it to make edits, or say "Use SVG gradients for the windows" and so on and you can further iterate on the SVG.
It can be frustrating at times, but the end result was worth it for me.
Though for some images I've done 2-3 roundtrips manual editing, Nano Banana, svgai.org ...
The advantage is that it produces sane output paths that I can edit easily for final manual touches in Inkscape.
Some of the other "AI" tools are often just simply algorithms for bitmap->vector and the paths/curves they produce are harder to work with, and also give a specific feel to the vector art..
It seems like the problem of pushing pixels around in an exact way and iterating on visual design is a problem that needs very specialized tools, regardless whether there is LLM support.
Yes, these AI tools are good at drawing JPGs or PNGs, but not so good at generating SVGs. I searched for several image-to-SVG tools, and the best one was this Adobe tool: https://www.adobe.com/express/feature/image/convert/svg. After converting to SVG, I used Figma to fine-tune it.
Free idea: turn this into an MCP server. Give the agent the ability to virtually "hover" a path and see which part of the final render it corresponds to
If anyone sees this, I tried it and unfortunately am not getting better results on the pelican-on-bicycle test. I think the vision models just aren't good enough yet (I tried Claude and Gemini)
I can share the code if there's interest.
You can get pretty decent initial results if you explicitly tell them to first make a detailed description with exact coordinates and then feed the description back into them to build the SVG.
Try Claude code. I have built so many. Entire pitch decks for my startup. It is the best. Tell it to use animation libraries gsap framer motion etc to build svg.
SVG is often relatively complex and dense.
A dedicated or fine tuned model for just SVGs would be pretty wild.
The problem isn't really SVG but the more complex problem of looking at a, possibly noisy, image with continuous color variations and identifying the cutoff point where you contain one part in a border and a different part in another border. That can be judgement call that is made better if you actually understand what is represented but harder if you are working at the pixel level.