Vectorizer.AI vs VTracer

Vectorizer.AI turns raster images into editable vector graphics for uses including logos, illustrations, print, web, CAD, and CNC. It accepts PNG, JPG, GIF, BMP, and WebP files, and can export SVG, EPS, DXF, PDF, or a cleaned-up PNG. Its conversion process pairs in-house deep-learning models trained on a proprietary dataset with geometric methods for shape fitting, corner cleanup, and symmetry modeling. Users can upload, convert, and preview images without commitment; production results from example images are available to download free. Web App uploads are capped at 3 megapixels and 30 megabytes, with cropping to fit the resolution limit. Developers can connect through SDKs, a CLI, HTTP endpoints, or OpenAPI. API access starts at $9.99 a month for 50 credits, with one credit covering one image; the Web App is $9.99 a month and has no API access. Unused API credits roll over up to five times the monthly allowance. The product is available on web, Linux, macOS, and Windows.

VTracer turns raster images such as JPG and PNG into compact SVG vector graphics. It handles graphics and photographs, with support for high-resolution scans as well as low-resolution pixel art. Its color-processing pipeline can retain colors or constrain output to a fixed palette or maximum color count. Users can choose a web app, desktop app, or command-line tool; developers can also use a Rust library, Python native extension, or Node.js WebAssembly package. The web app accepts images by drag-and-drop, paste, or file selection, with clustering and curve-fitting controls. Desktop features include an A/B comparator, curve inspector, curve simplification, seam-free cutout, watershed clustering, adaptive black-and-white thresholding, and fixed palettes. The command-line tool supports presets, clustering options, curve-fitting modes, and output optimization. The Node.js package decodes PNG, JPEG, GIF, BMP, and WebP; other formats can be separately decoded and supplied as raw RGBA pixels. VTracer is free and open source under the MIT license, with desktop downloads for Windows, macOS, and Linux.