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Tech riderRev. 20 Sept 2026

EdgeSVG

Ch 047.0of 24 Image Vectorization Software
  1. 1Runs onLinux, Mac, Web, Windows
  2. 2CostsNot stated by the maker
  3. 3Batch conversionYes
  4. 4Tracing modesfull-color
  5. 5Available platformsweb+desktop
  6. 6Vector output formatsSVG
5 lines stated Written from the maker's own pages: raphaelmansuy.github.io
Visit site Alternatives
The EdgeSVG homepage

Overview

EdgeSVG is ranked #4 of 24 in image vectorization software on Specifiction. It runs on Linux, macOS, Web, Windows.

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

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