Error: selected "Algorithm" does not support STL generation.
The blur parameter defines the smoothing factor around each color patch.
Select a filter to reduce the number of colors in an image
Configure the layers (areas of same colors) for the output vector image:
The mins parameter defines the size of speckles which will be ignored during vectorization.
For small input images with fine features, like text or small shapes, sometimes the vectorized output does not show all required image features.
With the help of artificial intelligence (AI), the input image can be upscaled before vectorization to help the vectorization algorithms to detect the vector shapes better.
Upscaling AI is optimized for low color count clipart style images.
Input images including pixel noise, for example from JPEG compression artifacts sometimes produce to complicated vector outputs, because the noisy pixels are also detected as
relevant vector shapes.
With the help of artificial intelligence (AI), input pixel noise can be reduced in different levels from low to highest.
Select the smallest amount of colors suitable for your image for best performance and smaller output vector file (SVG).
Number of colors in vector output.
enable crowd source and your image will be also edited by other users of www.vectorizer.io and you will see their edits in the "variants" section.
Threshold defines the factor which is used to automatically merge similar colors in the layers list.