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PNG to SVG Converter

Professional-grade raster-to-vector converter. Transform bitmaps into scalable SVG paths using algorithmic quantization and edge tracing. Ideal for logos, CNC, and design.

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Category Image Converters
Configuration
Optimization
Ignore areas smaller than this.
Higher = smoother, fewer points.

Drag & Drop Image or Click to Browse

Supports PNG, JPG, BMP (Max 5MB)
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About

This tool utilizes advanced computational geometry algorithms to transmute rasterized pixel data (bitmaps) into mathematical vector paths. Unlike standard converters that simply embed the image as a Base64 string, this engine performs true topological reconstruction.

Accuracy in vectorization is bounded by the Nyquist-Shannon sampling theorem; low-resolution inputs yield staircase artifacts. To mitigate this, our pipeline employs a multi-stage process: Preprocessing (Denoising) → Quantization (Color clustering) → Edge Tracing (Moore-Neighbor algorithm) → Path Simplification (Ramer-Douglas-Peucker). This ensures the final SVG output is lightweight, scalable to ∞, and compatible with CNC/Laser cutters.

vectorizer svg-converter bitmap-trace graphic-design path-optimization

Formulas

The core reduction relies on the Ramer-Douglas-Peucker algorithm to decimate redundant points along a curve while maintaining the shape's topology within a user-defined tolerance ε.

{
Keep P if dist(P, AB) > εDiscard P otherwise

Color distance for quantization uses Euclidean separation in RGB space to cluster pixels:

d = √(R2−R1)2 + (G2−G1)2 + (B2−B1)2

SVG Path construction utilizes Cubic Bezier curves where necessary, defined as:

B(t) = (1−t)3P0 + 3(1−t)2tP1 + 3(1−t)t2P2 + t3P3

Reference Data

FeatureRaster (PNG/JPG)Vector (SVG)Conversion Logic
Data Structure2D Grid of Pixels (Arrays)Mathematical Curves (XML)Pixel Grouping → Geometric Fit
ScalabilityLossy (Pixelation at >100%)Lossless (Infinite zoom)f(t) vs Fixed Matrix
File SizeProportional to Resolution (w × h)Proportional to Complexity (Nodes)Node Reduction Optimization
EditabilityPixel ManipulationPath/Anchor Point ManipulationComponent Extraction
Machine ReadableNo (Optical extraction required)Yes (Coordinate Geometry)G-Code / Plotter Ready
TransparencyAlpha Channel (0-255)Fill-Opacity AttributeMapped to CSS properties

Frequently Asked Questions

This is a limitation of vectorization. Photos have millions of color variations. To create vector paths, the tool must group similar colors (quantization) and smooth the edges. Lowering the "Simplification" and increasing "Color Count" adds detail but increases file size.
Yes. Select the "Black & White" preset for the cleanest cut lines. The output SVG contains valid path data compatible with LightBurn, AutoCAD, and other CNC software.
Increase the "Path Simplification" slider. This increases the epsilon tolerance in the Douglas-Peucker algorithm, removing minor points along lines that don't significantly contribute to the shape.
Yes. The algorithm detects fully transparent pixels (alpha = 0) and excludes them from path generation, creating a transparent background in the final SVG.