Benchmarks

Smaller files. Cleaner paths. No quality trade-off.

Every SVGFast result is rendered back to a bitmap and scored against the source image. Here's how it stacks up against popular tracers on a fixed set of real logos and illustrations.

5.2×

smaller output than VTracer across the test set

~98%

average rendered fidelity to the source

3.7

avg paths per file (vs 101 for VTracer)

$0

cost, no account, no upload required

The same avatar, compared

A Discord profile photo traced by each tool. SVGFast keeps facial detail and the status ring clean without turning the image into noisy shards.

Original Discord profile avatar
Source PNGinput

43 KB raster

Profile avatar traced by SVGFast
SVGFastbest

rendered output

Profile avatar traced by Adobe
Adobenoisy

rendered output

Profile avatar traced by Vector Magic
Vector Magicblocky

rendered output

Profile avatar traced by Vectorizer.AI
Vectorizer.AIposterized

rendered output

Output file size by tool

Smaller bar = smaller SVG on a representative icon from the benchmark corpus.

SVGFast24.2 KB
Kittl57.1 KB
Adobe68.5 KB
Vectorizer.AI103.6 KB
VTracer132.4 KB

Full corpus results

Six representative images across logos, illustrations and text. Fidelity is the rendered-back match to the source (higher is better); paths is the number of vector paths in the output.

Swipe horizontally to see all columns

ImageToolSizePathsFidelity
Reddit Snoo
flat logo
SVGFast16.2 KB199.4%
VTracer45.7 KB3498.8%
Adobe8.9 KB97.0%
Tux penguin
soft illustration
SVGFast25.8 KB297.8%
VTracer290.9 KB38897.7%
Pink Belly mascot
gradient illustration
SVGFast23.0 KB699.2%
VTracer45.9 KB1199.0%
Adobe11.6 KB98.2%
Pink Belly wordmark
text + gradient
SVGFast18.4 KB697.6%
VTracer80.7 KB7992.8%
Pink Belly name
text logo
SVGFast13.6 KB296.7%
VTracer52.8 KB1996.4%
Adobe12.7 KB93.5%
RootToRise monogram
fine-detail mark
SVGFast16.8 KB597.5%
VTracer77.4 KB7597.8%

Adobe rows embed a raster preview inside the SVG, so a path count isn't comparable. On the RootToRise mark VTracer edges fidelity by 0.3 points, but at 4.6× the file size and 15× the path count.

How we measure

Vector quality is easy to game with one cherry-picked image, so SVGFast scores every result the same way:

  1. Trace. Each tool converts the same source PNG with its default or recommended settings.
  2. Re-render. The output SVG is rasterized back to a bitmap at the source resolution.
  3. Score. That render is compared to the original to produce a fidelity score, alongside the final byte size and path count.

Numbers above come directly from the project's evaluation harness on a fixed corpus. Your results will vary with image complexity — busy photos vectorize less cleanly than logos for every tool.