Vectorizer

Vectorizer.AI is a tool designed to facilitate the smooth conversion of pixel-based (raster) PNG and JPG images into scalable vector graphics (SVGs) fully automatically. Built on a foundation of deep learning and classical algorithms, this tool analyzes, processes, and transforms your image from a grid of pixels to geometrical shapes. These resulting vector images can be expanded to any resolution without losing quality, allowing for a wider range of applications, including printing, cutting, embroidering and more.A core feature of Vectorizer.AI is its deep vector engine that employs artificial intelligence networks to create thorough and precise vector conversions. It also utilizes a unique computational geometry framework, the Vector Graph, which enables automated edits and localized optimizations that are challenging to achieve with conventional vector image representations. Rather than limiting its functioning to simple Bezier curves, it fits complex geometric shapes where applicable to provide an ideal fit and unmatched consistency. It supports various types of curves and uses them as needed, providing results that are more natural than those from other vectorizers. High performance is ensured through the full utilization of state-of-the-art GPUs for deep learning, and efficient, parallel classical algorithms conducted on multi-core CPUs.Vectorizer.AI takes care of features that are less than a pixel wide and places boundaries according to the anti-aliasing pixel values. Fully automatic, it doesnt require user input to produce results, working effectively on scanner images, photos of sketches, drawn artwork, and photographs. It also supports full 32-bit color, including the alpha channel, and allows for a wide range of export options, including SVG, PDF, EPS, DXF, and PNG formats.

Tags: Image Processing, Deep Learning, Vector Conversion, Raster to Vector, Scalable Vector Graphics, Image Transformation

Category: image to svg

Pricing: free

Vectorizer
image to svg

Vectorizer

Vectorizer. AI is a tool designed to facilitate the smooth conversion of pixel-based (raster) PNG and JPG images into scalable vector graphics (SVGs) fully automatically.

Built on a foundation of deep learning and classical algorithms, this tool analyzes, processes, and transforms your image from a grid of pixels to geometrical shapes.

View more details in the About section below...

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Vectorizer. AI is a tool designed to facilitate the smooth conversion of pixel-based (raster) PNG and JPG images into scalable vector graphics (SVGs) fully automatically.

Built on a foundation of deep learning and classical algorithms, this tool analyzes, processes, and transforms your image from a grid of pixels to geometrical shapes.

These resulting vector images can be expanded to any resolution without losing quality, allowing for a wider range of applications, including printing, cutting, embroidering and more.

A core feature of Vectorizer.

AI is its deep vector engine that employs artificial intelligence networks to create thorough and precise vector conversions.

It also utilizes a unique computational geometry framework, the Vector Graph, which enables automated edits and localized optimizations that are challenging to achieve with conventional vector image representations.

Rather than limiting its functioning to simple Bezier curves, it fits complex geometric shapes where applicable to provide an ideal fit and unmatched consistency.

It supports various types of curves and uses them as needed, providing results that are more natural than those from other vectorizers.

High performance is ensured through the full utilization of state-of-the-art GPUs for deep learning, and efficient, parallel classical algorithms conducted on multi-core CPUs.

Vectorizer.

AI takes care of features that are less than a pixel wide and places boundaries according to the anti-aliasing pixel values.

Fully automatic, it doesnt require user input to produce results, working effectively on scanner images, photos of sketches, drawn artwork, and photographs.

It also supports full 32-bit color, including the alpha channel, and allows for a wide range of export options, including SVG, PDF, EPS, DXF, and PNG formats.

Key Benefits

Converts JPEG
PNG to SVG
Uses multi
core CPUs
Uses powerful GPUs
Analyzed images retain clarity
Images can be upscaled
Good for printing
cutting
embroidering
Preview before download
Multiple download formats: SVG
PDF
EPS
DXF

Use Cases

Image Processing
Deep Learning
Vector Conversion
Raster to Vector
Scalable Vector Graphics
Image Transformation

Highlights

Converts JPEG
PNG to SVG
Uses multi
core CPUs

Tags

Image Processing
Deep Learning
Vector Conversion
Raster to Vector
Scalable Vector Graphics
Image Transformation