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AI Vectorizer vs VectorIt

AI Vectorizer

ai-vectorizer.org

VectorIt

jparkerweb.github.io

Side by side

FigureAI VectorizerVectorIt
Price from$49.90/moFree
Free planYesYes
Free trial——
Open source——
WebYes—
Windows—Yes
macOS—Yes
Linux—Yes
APIYes—
Plans published31
Spec score · Image Vectorization Software8.4 (#3)7.6 (#18)

Plans

AI Vectorizer

  • FreeFree
  • Pro — 7-Day Full Access$1.95, paid once
  • Pro$49.90 a month

AI Vectorizer pricing →

VectorIt

  • VectorItFree

VectorIt pricing →

In their own words

AI Vectorizer

AI Vectorizer converts raster images into downloadable SVG files through a browser service that requires no installation. PNG, JPEG, and WebP uploads are supported. Classic VTracer tracing is available, while Pro adds an AI mode for photos and complex artwork. An interactive preview compares the raster source with the SVG result before download. Paid tiers add SVGO optimization to clean paths and reduce redundant nodes, and Pro includes API access for programmatic conversion. The Free plan costs nothing, billed forever, and allows two Classic conversions per rolling 24 hours with a 15 MB limit and watermark on SVG exports. Free uploads and generated SVGs are deleted within 48 hours. Pro costs $49.90 a month, allowing 200 vectorizations per rolling 24 hours, 150 MB files, AI mode, API access, and no watermark. A seven-day offer costs 1.95 USD once, then $49.90/month until canceled.

Visit ai-vectorizer.org

VectorIt

VectorIt is a free, open-source desktop app for converting raster images into vector graphics. It accepts PNG, JPG, BMP, GIF, and TIFF files and exports SVG, EPS, PDF, or DXF. It can also re-rasterize vectors as PNG, BMP, or JPEG at any resolution. Presets and live controls cover colors, smoothness, corner threshold, speckle filtering, and path mode; a segmentation editor lets users paint, split, and merge regions before vectorization, with undo. Images can be pasted with Ctrl+V, and Ctrl+S re-exports with the last-used settings. For images above 20 megapixels, VectorIt downsamples for analysis and uses full resolution for export. It runs offline without internet, accounts, or telemetry, and says users’ pixels stay on their machines. The maker identifies the app as Apache-2.0 licensed and describes an installer of about 5 MB. It runs on Windows, macOS, and Linux; macOS builds are not signed or notarized and may trigger a developer verification warning on first launch.

Visit jparkerweb.github.io