Vectorizer

Deep Vector Engine: Building on our 15 years of experience in the field, we have created deep learning networks and classical algorithms that together form the core functionality of Vectorizer.AI. We have trained the AI networks that underpin this service from scratch, and based on our own proprietary dataset.

Vector Graph: Our proprietary computational geometry framework lets us make automated edits and localized optimizations that are simply not possible with conventional vector image representations.

Full Shape Fitting: Going beyond simple Bezier curves, we fit complex whole geometric shapes where possible to get a perfect fit and unmatched consistency. We support fully parameterized circles, ellipses, rounded rectangles, and stars, all with optionally rounded corners and arbitrary rotation angles.

Curve Support: In addition to whole geometric shapes, vector shapes can be built from straight lines, circular arcs, elliptical arcs, and quadratic and cubic Bezier curves. When modeling generalized curves, most vector graphics software apps try to simplify things to contain only cubic Bezier curves, a convenient but limited approximation. Vectorizer.AI supports the full range of curve types and uses them where appropriate.

Clean Corners: Shape outlines often consist of straight or smoothly varying sections separated from one another by discrete corners. We analyze, model, and optimize every corner in the Vector Graph to craft results that are more natural than other vectorizers.

High Performance: Nobody likes to wait. We respect your time, so we make sure we are fully utilizing state of the art GPUs for deep learning, and run carefully tuned and massively parallel classical algorithms on multi-core CPUs to bring you the best vectors in the industry ASAP.

Symmetry Modelling: Symmetry is everwhere in nature and especially in design. We detect and model mirror and rotational symmetries in your image to produce more accurate and more consistent results.

Adaptive Simplification: Not all boundaries between shapes in raster images are equally well supported by the pixel data. Faint and indistinct boundaries are automatically simplified to reduce their complexity in the output, leading to more pleasing results.

Palette Control: Our system automatically detects the number of palette colors present in your input image. But if we get it wrong, or if you simply prefer a different number of colors, you can adjust the palette size to your liking.

Sub-Pixel Precision: We tease out features that are less than a pixel wide, and place boundaries according to the anti-aliasing pixel values. Details matter.

Fully Automatic: No user input is required to produce the result.

Image Types: While originally designed for logos and other rasterized vector art, the algorithm also works really well on scans or photos of sketches and other drawn artwork, as well as photographs.

Pre-Crop: Since we have a maximum allowable resolution, we let you make the most of it by cropping out the portion of your bitmap that you wish to vectorize. Only the cropped area counts against your resolution limit, letting you maximize the quality of the result.

Full Color & Transparancy: We support full 32-bit color, including the alpha channel, which was incorporated as a first-class concept right from the start. Partially transparent areas and anti-aliasing are all fully supported.

Export Choices: We support SVG, PDF, EPS, DXF, and PNG as output formats. SVG is the most flexible and widely supported format, and is the default. Our full-featured export options allow you to control how shapes are drawn, how they are grouped, and a number of other format-specific options.