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Image to SVG Path - Online Trace Bitmap to Vector

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PNG, JPG, GIF, WebP, BMP β€” Max 10MB

Preview Click or drop to replace
Trace Settings
Threshold 128
More dark areasMore light areas
Simplify Path 2.0
More detailSmoother
Color Layers 1 (Mono)
Single colorMulti-color
Min Area Filter 0 px
Keep allRemove noise
- paths - points - KB

Upload an image to see the SVG trace result

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// SVG code will appear here after tracing...
Frequently Asked Questions
What is Image to SVG Path conversion?
Image to SVG Path conversion (also called bitmap tracing or vectorization) is the process of transforming a raster image (made of pixels like PNG, JPG) into vector SVG paths. The tool analyzes pixel boundaries using contour detection algorithms like Marching Squares to generate smooth, scalable vector outlines that can be resized infinitely without losing quality.
What's the difference between bitmap and vector graphics?
Bitmap (Raster): Composed of a fixed grid of colored pixels. Enlarging causes blurriness and pixelation. Formats: PNG, JPG, GIF, BMP.
Vector: Composed of mathematical paths (lines, curves, polygons). Can be scaled to any size without quality loss. Formats: SVG, EPS, AI, PDF. SVG paths are ideal for logos, icons, illustrations, and cutting/engraving machines.
Why convert PNG or JPG to SVG?
Converting bitmap images to SVG offers several advantages: infinite scalability for responsive web design and print, smaller file sizes for simple graphics, editability in vector software like Illustrator or Inkscape, compatibility with CNC machines, laser cutters, vinyl cutters, and crisp rendering on high-DPI/Retina displays. SVG is also text-based, making it SEO-friendly and easily animated with CSS or JavaScript.
What image formats are supported?
This tool supports PNG, JPEG, GIF, WebP, and BMP formats. For best results, use images with clear contrast between foreground and background. High-contrast images like logos, icons, silhouettes, and line art produce the cleanest vector traces. Photos with gradients may require adjusting the threshold and color layers.
How does the Threshold setting work?
The threshold determines which pixels become part of the traced shape versus the background. Pixels with brightness above the threshold become white (background), while pixels below become black (traced area). A lower threshold (e.g., 60) traces fewer dark pixels β€” useful for high-contrast images. A higher threshold (e.g., 200) captures more mid-tones. Adjust this to isolate the subject from the background.
Can I trace colored images to multi-color SVG?
Yes! Use the Color Layers slider to set how many distinct colors to extract (1–8). The tool uses color quantization (k-means clustering) to reduce the image to the specified number of colors, then traces each color layer independently. This produces a layered SVG with separate paths for each color β€” perfect for logos and flat-design illustrations. Single-layer mode is faster and ideal for silhouettes.
What does the Simplify Path slider do?
The Simplify Path control applies the Ramer-Douglas-Peucker algorithm to reduce the number of points in traced paths while preserving the overall shape. A higher value creates smoother, more abstract curves with fewer anchor points (smaller file size). A lower value retains more detail and closely follows pixel edges. Find the sweet spot between fidelity and file size for your use case.
What is the Min Area Filter?
The Min Area Filter removes traced regions smaller than the specified pixel area. This is excellent for noise reduction β€” it eliminates tiny specks and artifacts that often appear when tracing photos or compressed images. Set it to 10–50 to clean up scattered dots while keeping meaningful shapes intact. A value of 0 keeps everything.
Is my image uploaded to any server?
No. All processing happens entirely in your browser using the HTML5 Canvas API and JavaScript. Your image never leaves your device. No data is sent to any server. This ensures complete privacy and fast processing. You can use this tool offline once the page is loaded.
What algorithm is used for tracing?
This tool uses the Marching Squares algorithm β€” a classic computer graphics technique that examines each 2Γ—2 block of pixels to determine where the boundary between foreground and background lies. It generates clean, continuous contour paths. The paths are then simplified using Ramer-Douglas-Peucker and connected into proper SVG path strings. For multi-color mode, k-means clustering quantizes colors first, then each color layer is traced separately.
How can I use the generated SVG?
The SVG code can be:
β€’ Copied and pasted directly into HTML files or web projects
β€’ Downloaded as an .svg file and opened in vector editors (Illustrator, Inkscape, Figma)
β€’ Used with CSS animations for animated icons
β€’ Sent to laser engravers, vinyl cutters, or CNC routers
β€’ Embedded in React/Vue components as inline SVG
β€’ Used as clip-path or mask in CSS for creative effects
Why does my traced SVG look jagged or pixelated?
Jagged edges usually mean the Simplify Path value is too low, causing the trace to follow every pixel boundary precisely. Try increasing the simplify value to 2–5 for smoother curves. Also, ensure your source image has sufficient resolution β€” very small images (< 200px) have fewer pixels to work with. For photos, increasing the threshold can help separate the subject more cleanly.