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vtracer/README.md
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Chris Tsang 57d768e37e Update README CLI docs for the 1.0 command app
Replace the 0.6.x help block with the current options (kebab-case flags,
positional input/output, filter-speckle 0..=128), document the new
capabilities (positional args, seam-free mosaic cutout, fixed palette /
auto-quantize, output optimization levels), and refresh the usage examples.
2026-07-24 11:39:14 +01:00

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VTracer

Raster to Vector Graphics Converter

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Introduction

visioncortex VTracer is an open source software to convert raster images (like jpg & png) into vector graphics (svg). It can vectorize graphics and photographs and trace the curves to output compact vector files.

Comparing to Potrace which only accept binarized inputs (Black & White pixmap), VTracer has an image processing pipeline which can handle colored high resolution scans. tl;dr: Potrace uses a O(n^2) fitting algorithm, whereas vtracer is entirely O(n).

Comparing to Adobe Illustrator's Image Trace, VTracer's output is much more compact (less shapes) as we adopt a stacking strategy and avoid producing shapes with holes.

VTracer is originally designed for processing high resolution scans of historic blueprints up to gigapixels. At the same time, VTracer can also handle low resolution pixel art, simulating image-rendering: pixelated for retro game artworks.

Technical descriptions of the tracing algorithm and clustering algorithm.

Desktop App (coming soon)

screenshot

screenshot

Cmd App

Input and output can be given as positional arguments or as named flags:

vtracer input.jpg output.svg
# equivalent to:
vtracer --input input.jpg --output output.svg

Full options (flag names are kebab-case, e.g. --filter-speckle):

Usage: vtracer [OPTIONS] [INPUT] [OUTPUT]

Arguments:
  [INPUT]   Input raster image (positional; or use --input)
  [OUTPUT]  Output SVG (positional; or use --output)

Options:
  -i, --input <INPUT>                        Path to the input raster image
  -o, --output <OUTPUT>                      Path to the output SVG
      --preset <PRESET>                      Start from a preset: bw, poster, photo
      --colormode <COLORMODE>                Color image `color` (default) or binary image `bw`
      --hierarchical <HIERARCHICAL>          Clustering: `stacked` (default) or `cutout` (seam-free mosaic)
  -m, --mode <MODE>                          Curve-fitting mode: `pixel`, `polygon`, `spline`
  -f, --filter-speckle <FILTER_SPECKLE>      Discard patches smaller than X px in size (0..=128)
  -p, --color-precision <COLOR_PRECISION>    Significant bits per RGB channel (1..=8)
  -g, --gradient-step <GRADIENT_STEP>        Color difference between gradient layers (0..=255)
  -c, --corner-threshold <CORNER_THRESHOLD>  Minimum momentary angle (degrees) to be a corner (0..=180)
  -l, --segment-length <SEGMENT_LENGTH>      Subdivide until all segments are shorter than this (3.5..=10)
  -s, --splice-threshold <SPLICE_THRESHOLD>  Minimum angle displacement (degrees) to splice a spline (0..=180)
      --path-precision <PATH_PRECISION>      Decimal places to use in path coordinates
      --palette <PALETTE>                    Fixed palette: comma-separated hex colors, e.g. '#112233,#445566'
      --palette-file <PALETTE_FILE>          Fixed palette from a file (hex colors, comma/newline separated)
      --max-colors <MAX_COLORS>              Auto-quantize to at most N colors
      --optimize <OPTIMIZE>                  Output optimization: 0 = off, 1 = quantize+simplify, 2 = + shorthands
  -h, --help                                 Print help
  -V, --version                              Print version

New in 1.0

  • Positional argumentsvtracer in.png out.svg.
  • --hierarchical cutout is now a true seam-free mosaic (a gapless tessellation with shared boundaries), replacing the old re-clustered cutout.
  • --palette / --palette-file — snap colors to a fixed palette (nearest in OKLab); --max-colors auto-quantizes the palette.
  • --optimize — output size passes (coordinate quantization, redundant- point removal, relative/shorthand path encoding).

Downloads

You can download pre-built binaries from Releases.

You can also install the program from source from crates.io/vtracer:

cargo install vtracer-cli

You are strongly advised to not download from any other third-party sources

Usage

# simplest form
./vtracer input.jpg output.svg

# black & white line art
./vtracer input.jpg output.svg --preset bw

# seam-free mosaic (gapless tessellation)
./vtracer input.jpg output.svg --hierarchical cutout

# constrain to a fixed palette
./vtracer input.jpg output.svg --palette '#1b1b1b,#e0c088,#5a7d3c,#8fb0d0'

Rust Library

You can install vtracer as a Rust library.

cargo add vtracer

Python Library

Since 0.6, vtracer is also packaged as Python native extensions, thanks to the awesome pyo3 project.

pip install vtracer

Citations

VTracer has since been cited by a few academic papers in computer graphics / vision research. Please kindly let us know if you have cited our work: