EdgeSVG

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Score6.7

Rank#7 of 24

Free planNo

Runs onLinux, macOS, Web, Windows

Summary

EdgeSVG is a free, open-source tool for converting raster images into SVG vector graphics. Its automatic mode classifies images as logos, icons, illustrations, or photos and selects a tracing approach. Other documented modes include convert, logo, premium, smart, and optimal, covering different image types and quality requirements. Smart mode searches iteratively within SSIM and file-size constraints. Output scoring includes SSIM, edge similarity, foreground IoU, topology, file size, and path counts. The project provides Rust, Python, Node.js, command-line, and WebAssembly interfaces under a shared SDK contract. Its WebAssembly engine runs in the browser without a server or uploads, according to the maker, keeping image data on the device. Batch processing can handle directories and produce JSON or Markdown reports with per-image scores and summaries. CI/CD examples cover GitHub Actions, GitLab CI, Docker, and pre-commit hooks. EdgeSVG is published under the Apache 2.0 license and has pre-built Python wheels for macOS arm64 and x64, Linux x64 and arm64, and Windows x64. The project describes itself as neither a GUI design tool nor a hosted API.

Who it is for

It suits developers and teams incorporating raster-to-SVG conversion into design, asset automation, web, or build pipelines. It is not positioned as a hosted API or GUI design tool.

What is good

Automatic mode selects a tracing strategy by image type.
Batch processing produces scored JSON or Markdown reports.
Browser WebAssembly conversion runs without uploads.
Interfaces include Rust, Python, Node.js, CLI, and WebAssembly.

What to know first

Not a GUI design tool.
Not a hosted API.

Verdict

EdgeSVG offers conversion modes, quality scoring, and interfaces suited to automated asset workflows. Its project explicitly does not provide a hosted API or GUI design tool.

Compared on image vectorization software

Free plan: Yesraphaelmansuy.github.io
Batch conversion: Yesraphaelmansuy.github.io
Tracing modes: full-colorraphaelmansuy.github.io
Available platforms: web+desktopraphaelmansuy.github.io
Vector output formats: SVGraphaelmansuy.github.io

Facts

Purpose: EdgeSVG converts raster images into SVGs through an open-source vectorization engine.raphaelmansuy.github.io · 2 Oct 2026
Quality scoring: It scores vectorized output with metrics including SSIM, edge similarity, foreground IoU, topology, file size, and path counts.raphaelmansuy.github.io · 2 Oct 2026
Automatic mode: Auto mode classifies images as logos, icons, illustrations, or photos and selects a tracing strategy.raphaelmansuy.github.io · 2 Oct 2026
Conversion modes: Documented modes include auto, logo, premium, and smart, with smart mode searching iteratively under SSIM and file-size constraints.raphaelmansuy.github.io · 2 Oct 2026
SDKs and CLI: The project provides Rust, CLI, Python, Node.js, and WebAssembly surfaces with a shared SDK contract.github.com · 2 Oct 2026
Browser privacy: The maker says the WebAssembly engine runs in the browser without a server or uploads, so image data stays on the device.raphaelmansuy.github.io · 2 Oct 2026
Dependencies: The maker describes EdgeSVG as a pure Rust engine with no GPU, ONNX, or Python ML runtime requirements.raphaelmansuy.github.io · 2 Oct 2026
Integrations: The CI/CD guide provides examples for GitHub Actions, GitLab CI, Docker, and pre-commit hooks.raphaelmansuy.github.io · 2 Oct 2026
Batch processing: Its benchmark command can process directories and produce JSON and Markdown reports with per-image scores and summaries.raphaelmansuy.github.io · 2 Oct 2026
Target users: The maker describes use cases including design pipelines, asset automation, web applications, and build pipelines.raphaelmansuy.github.io · 2 Oct 2026
Not a hosted service: The project README says EdgeSVG is not a GUI design tool or hosted API.github.com · 2 Oct 2026
License: The project is published under the Apache 2.0 license.github.com · 2 Oct 2026
Platform support: The Python quick start lists pre-built wheels for macOS arm64 and x64, Linux x64 and arm64, and Windows x64.raphaelmansuy.github.io · 2 Oct 2026
SDKs: EdgeSVG provides Python, Node.js, Rust, CLI, and WebAssembly interfaces with a shared response contract.raphaelmansuy.github.io · 3 Oct 2026
Automation: The CI/CD guide documents GitHub Actions and GitLab CI workflows, JSON output, and configurable quality thresholds.raphaelmansuy.github.io · 3 Oct 2026
Use cases: The maker describes logo and icon conversion, build pipelines, in-browser conversion, batch asset processing, and design export workflows.raphaelmansuy.github.io · 3 Oct 2026
Supported Python platforms: The Python quick start lists pre-built wheels for macOS arm64 and x64, Linux x64 and arm64, and Windows x64.raphaelmansuy.github.io · 3 Oct 2026
Maker: The site copyright names Raphael Mansuy.raphaelmansuy.github.io · 3 Oct 2026