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Vecto

What it is

Vecto traces raster images into editable SVG files, with uses including logos, icons, illustrations, scans, and photos. It accepts PNG, JPG, BMP, and GIF images, preserves transparency, and provides a live side-by-side preview with synced zoom. Its connected-mosaic approach fits shared boundaries once to avoid gaps or overlaps. The tracer can preserve straight edges as lines and circles as exact arcs, while sub-pixel placement locates boundaries between pixels. Photo tracing can produce posterized vector art with a chosen number of colors; the maker recommends using a high-resolution source. Finished SVGs can be exported or copied to the clipboard for use in design and cutting tools. Vecto also offers command-line tools for tracing, batch jobs, and benchmarking on Linux and macOS. The maker says tracing happens on the user's computer, images are not uploaded, and the app works offline without an account. Vecto is open source under the MIT license. The graphical app is Windows-only, while Linux and macOS downloads are command-line tools. A free build is available, and the Microsoft Store version costs $7.99 once.

For and against

For

  • Accepts PNG, JPG, BMP, and GIF
  • Preserves transparency in images
  • Supports batch conversion from the command line
  • Works offline without an account
  • Free MIT-licensed build is available

Against

  • Graphical app is Windows-only
  • Microsoft Store version costs $7.99 once

The verdict

Vecto offers image tracing with attention to edges, transparency, and local processing. Choose it with the platform distinction in mind: graphical use is limited to Windows, while Linux and macOS have command-line tools.

Who it suits

Vecto suits people who need editable SVGs from raster artwork, especially Windows users who prefer a graphical app. Linux and macOS users can use its command-line tools for tracing and batch jobs.

Plans and prices

Free open-source build

Free

No trial clock · no watermark · MIT license

Microsoft Store

$7.99one-time

Windows 10 / 11 · one-click install · automatic updates

Every plan, in full

On the record

CLI
The command-line tool supports tracing, batch jobs and benchmarking on Linux and macOS.danielmevit.github.io · read 30 Sep 2026
Deterministic output
The maker says the same input produces a byte-identical SVG each time.danielmevit.github.io · read 30 Sep 2026
Export and integrations
Users can export SVG or copy it to the clipboard for use in Figma, Adobe Illustrator, Inkscape, Affinity or cutting software.danielmevit.github.io · read 30 Sep 2026
Gap-free output
It traces the image as a connected mosaic, fitting each shared boundary once so shapes do not have gaps or overlaps.danielmevit.github.io · read 30 Sep 2026
Geometry
The tracer can represent straight edges as true straight lines and circles as mathematically exact arcs.danielmevit.github.io · read 30 Sep 2026
Input and preview
The app accepts PNG, JPG, BMP and GIF, preserves transparency, and shows a live side-by-side preview with synced zoom.danielmevit.github.io · read 30 Sep 2026
License
Vecto is open source under the MIT license, and the maker says users can download it free or build it themselves.danielmevit.github.io · read 30 Sep 2026
Photo tracing
Photos can be converted into stylized posterized vector art using a chosen number of colors; the maker recommends using the highest-resolution source image available.danielmevit.github.io · read 30 Sep 2026
Platform limits
The graphical app is Windows-only; Linux and macOS downloads are command-line tools, and a cross-platform app is on the roadmap.danielmevit.github.io · read 30 Sep 2026
Privacy
Tracing runs on the user's computer; the maker says images are not uploaded and the app works offline without an account.danielmevit.github.io · read 30 Sep 2026
Purpose
Vecto traces PNG and JPG images, including logos, icons, illustrations and scans, into editable SVG files.danielmevit.github.io · read 30 Sep 2026
Sub-pixel precision
Vecto uses anti-aliasing to place boundaries between pixels rather than snapping them to the pixel grid.danielmevit.github.io · read 30 Sep 2026

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