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AI Vectorizer vs Front-End SVGConverter

AI Vectorizer

ai-vectorizer.org

Front-End SVGConverter

github.com

Side by side

FigureAI VectorizerFront-End SVGConverter
Price from$49.90/moFree
Free planYesYes
Free trial——
Open source——
WebYesYes
APIYes—
Plans published31
Spec score · Image Vectorization Software8.4 (#3)7.7 (#15)

Plans

AI Vectorizer

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

AI Vectorizer pricing →

Front-End SVGConverter

  • FreeFree

Front-End SVGConverter 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

Front-End SVGConverter

Front-End SVGConverter is a free web application that turns raster images into SVG vector graphics in a browser. It accepts JPG, PNG, GIF, BMP, and WebP files, with monochrome Line Art and filled Silhouette conversion modes. A live preview shows parameter changes while you work. Image controls cover brightness, contrast, brilliance, shadows, and source-image inversion. Vector controls include edge threshold, curve smoothing, line thickness, color inversion, and edge sensitivity. An adjustable Gaussian blur can reduce noise before processing. Converted files can be downloaded as optimized SVGs with transparent backgrounds. Batch processing includes retracing and ZIP download controls. Processing occurs in the browser without a backend server. The responsive mobile interface supports adaptive downsampling and an optional detailed render setting. Large images may take longer, especially on mobile. The project uses vanilla JavaScript, HTML5 Canvas, and Potrace, and is MIT licensed.

Visit github.com