Info: The vectorization result was saved to your download directory.
If you need help locating the download directory on your system, you can check the following link for more information:
Info: The vectorization result was saved to your download directory.
If you need help locating the download directory on your system, you can check the following link for more information:
Info: On some Windows computers the downloaded SVG file might be labeled as "HTML Document" instead of "SVG Document". You might want to contact the Microsoft support on how to change that, or you can open it anyways in any program with SVG file support:
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Colors:  
 

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

Contour Colors:
Threshold
Width
Detected Objects: -
 

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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Colors:  
 

Contour Colors:  
 
  
Palette:

( 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
Do you need help with your image?