Info: The vectorization result was saved to your download directory.
FAQ: How to locate downloaded vectorization files?
STEP ①
Clipart Detail Level
Photo Detail Level
Sketch Detail Level
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  • Input Options:
  • Color Palettes
  • Objects
  • Background
STEP ②
Colors:  
 

Enhance the recognition of fine lines and edges in the image, ideal for detailed illustrations.

Contour Colors:
Threshold
Width
Detected Objects: -
 
  • Quality Enhancement
STEP ③
anti-aliasing
Anti-aliasing
single shapes
Noise Reduction
combine shapes
Upscaling
  
 
blur filter
Gaussian Blur
step removal filter
Downscaling
 
Text Background


filled paths
Filled Layers
Color filled vector elements
stroked paths
Stroked Layers
Color bordered vector elements
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ZIP Paint-By-Numbers .zip ZIP Diamond Painting .zip
SVG v1.0default SVG v1.1 SVG v1.2 P/S ZIP minimized splitted ~15KB, GT
EPS PDF DXF splines DXF lines XML vector drawable Android
STL no color (standard) .zip STL color (non-standard) .zip
GCODE

Pixel based file types (eg. PNG) are only intended for special use cases, because vectorizing an image and then saving it in a pixel based format is not reasonable for the most cases.

PNG PNG sharp edges PNG high resolution PNG high resolution sharp edges
Info: Some file formats are not compatible with the current image configuration! For example some file formats do not support more than 32 colors. (or paint-by-numbers or 15KB minimization was enabled).
 
STEP ④
  • Output Options:
  • Color Groups
 
   
Colors:  
 
 
  
 
Contour Colors:  
 
Palette:
  • Vectorization
  • Output Size
( Default: 0 )
( Default: 0 )
%
×
roundness
Roundness
min. area
Minimum Area

contour blur
Blur
layer overlap
Overlap
circles
Circle Detection
Quick Start Tutorial
Step ①: Choose the Right Model:
First, select a model that best matches the type of your input image. There are four categories:
  • Photo (many colors): Ideal for high-detail, color-rich images.
  • Clipart (few colors): Best for images with limited colors and simpler designs.
  • Sketch (only gray-scale): Suited for gray-scale images with varying shades of gray.
  • Drawing (black/white): Perfect for black and white images, like line drawings or monochrome graphics.
Step ②: Select a Color Palette:

Choose one of the available color palettes that best matches your image. A palette with fewer colors often yields a clearer vector output. If none of the pre-defined palettes suit your image, you have the option to create a custom color palette. This allows for a more precise and tailored vector conversion that reflects the true colors of your image.

Step ③: Enhance Image Quality:
If your input image has noise or is of low resolution, enhance its quality by selecting one of the available options:
  • Noise Reduction: This helps in smoothing out the noise in the image, making it cleaner for a more accurate vector conversion.
  • Upscaling: Use this for low-resolution images. It increases the image's size and clarity, making it more suitable for a detailed vector conversion. If you image already has a high quality and more upscaling is not offered, you can consider using the "Image Crop" to select a small part of your image which then can be upscaled.
Step ④: Select Output Colors:
Select the color which should be used for the vector image generation. Less output colors usually result in clearer vector images, especially if there are many small output color circles which represent small color areas.
  • You can drag & drop the color circles to change the order or the grouping of the color layers.
  • Each color circle has a check box which allows to disable the color, often useful to remove a background color to generate a vector image with a transparent background.
For more information on how to use this service effectively: https://youtu.be/H-ihpItoTBA
Image: mask-mouth-guard-corona-virus-5042605.png
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