EdgeSVG vs ImageTracerJS

EdgeSVG converts raster images into SVG vector graphics using an open-source vectorization engine. Its automatic mode categorizes an image as a logo, icon, illustration, or photo, then selects a tracing approach. Other documented modes include convert, logo, premium, auto, smart, and optimal; smart mode searches iteratively within SSIM and file-size constraints. Output scoring covers similarity, edge alignment, foreground overlap, topology, file size, and path counts. The project offers Rust, Python, Node.js, command-line, and WebAssembly interfaces under a shared response contract. Its WebAssembly engine runs in the browser without a server or uploads, according to the maker. Batch processing handles directories and can produce JSON and Markdown reports with per-image scores and summaries. CI/CD examples cover GitHub Actions, GitLab CI, Docker, and pre-commit hooks. EdgeSVG is free and published under the Apache 2.0 license, with Linux, macOS, Windows, and web support. It is neither a hosted API nor a GUI design tool.

ImageTracerJS is a JavaScript raster-image tracer that converts image data into SVG vector output. It can run in a browser by loading its JavaScript file and calling tracing functions, or in Node.js through a command-line interface. Its API returns SVG strings or tracedata for further processing. Browser-only asynchronous functions and synchronous ImageData functions are available for browsers and Node.js. Tracing can be configured through an options object or presets, including posterized, grayscale, detailed, and artistic variants. Controls cover line and spline error thresholds, path omission, corner enhancement, color sampling, palette size, layering, SVG rendering, and blur preprocessing. The command-line interface supports nearly all options, with pal and layercontainerid as exceptions. Node.js image loading requires an external library because Node.js lacks built-in canvas and DOM support. The project is also available as an Inkscape extension. ImageTracerJS is free under the Unlicense, which permits use, modification, and distribution for commercial or non-commercial purposes, with no warranty. The project notes that large images or many layers can trigger out-of-memory errors and that error handling is limited.