Image Compression Compared: Formats, Quality Settings, and File Size Realities | GoToolstack
Compare JPEG, WebP, and PNG compression realities. Real measurements from browser Canvas encoding, quality loss trade-offs, and transparency limitations.
Convert PNG, JPG, and WebP logos, icons, and drawings into genuine scalable SVG vector paths.
Raster to SVG Vectorizer transforms pixel-based bitmap graphics (PNG, JPG, WebP, GIF, BMP) into true, infinitely scalable vector paths (Scalable Vector Graphics) directly inside your web browser. Powered by the high-performance VTracer Rust WebAssembly engine, it reconstructs crisp mathematical contours and cubic Bézier splines without embedding fake base64 raster blobs or communicating with cloud servers.
Unlike simple image-tracing utilities that wrap pixel images into <image> tags or produce jagged pixel steps, the VTracer engine executes hierarchical color clustering, pixel speckle filtering, contour boundary tracing, and iterative curve fitting into smooth Bézier splines. The workspace provides dedicated profiles for Color Logos & Artwork (color clustering with palette quantization), Monochrome / Silhouettes (high-contrast single-path vector masks), and Detailed Photos.
Concrete Scenario: A graphic designer receives a low-resolution 300x300 pixel PNG logo with blurred anti-aliased edges and needs an ultra-sharp vector graphic for large-format billboard printing or SVG icon integration. Loading the PNG into the Vectorizer, selecting the 'Color Logo' profile with spline smoothing and a 1.5 simplification tolerance generates 14 clean <path> elements with exact brand hex colors in 35 milliseconds. The resulting 4.2 KB SVG scales to 4K and billboard resolutions with razor-sharp fidelity and zero pixelation.
Realistic Photo Boundary: Vectorizing photorealistic scenes creates tens of thousands of complex path segments, resulting in large SVG byte weights that exceed raster JPEG/WebP formats. True vectorization is intended and optimized for logos, icons, stamps, calligraphy, line art, diagrams, and graphic illustrations.
Contour Path = BézierFit(DouglasPeucker(MarchingSquares(ColorCluster(Pixels))), Tolerance)
Hierarchical color clustering segments pixels into tonal regions; boundary loops are traced, simplified with tolerance thresholds, and fitted into smooth cubic Bézier curves.
<image> tags. Every shape is an authentic vector element that scales infinitely without losing sharpness.