Trace Pixels To Vectors in Full Color, Fully Automatically, Using AI
(Free while in beta)
... to Vectors1
Trace Pixels ...
... to Vectors1
Convert your JPEG and PNG bitmaps to SVG vectors quickly and easily with Vectorizer.AI!
Just pick an image and it's converted for you fully automatically.
Works great on blurry and noisy images that typically pose vectorization challenges.
Be sure to download your result before closing the browser window.
1 Actual example. This bitmap does indeed produce this vector result.
Is this vectorizer any good?
It does quite well in general, and especially on small-ish, blurry, noisy and otherwise degraded images that vectorizers normally choke on.
It should beat basically everything else out there, except Vector Magic, which still does better on e.g. large clean images and has a lot more options. The results also have quite a different "feel" to them, so personal preference will vary. Try both!
Have an image it works poorly on? Email it to us and we'll do our best to handle it better in the future: email@example.com
What are the white lines in the downloaded results?
The shapes we (and any reasonable vectorizer) generate touch but don't overlap. This is usually what you want when working with them, e.g. cutting, embroidering, or otherwise using the vector shapes.
However, when rendering touching vector shapes to screen, the typical rendering method effectively leaves little gaps, causing the white lines.
In our online previewer we have worked around this by first stroking all the shapes, and then filling them. This works for most images, but notably not for ones with transparency.
We currently support JPEG, PNG, BMP and GIF as input, and produce SVG as output.
More output formats and options coming soon!
The max image pixel size is 2 megapixels. The max image file size is 30 megabytes.
We support full ARGB input, so both full and partial transparency work well. Unfortunately the previewer's white-line mitigation messes them up a bit, but the downloaded results should still be good.
How does it work?
We have developed a proprietary algorithm that blends Deep Learning, classical Machine Learning, and hand-crafted computer vision algorithms to bring you the best possible vectorization results.
With the main framework now in place, we are looking forward to refining it further, pushing the envelope in bitmap to vector conversion.