Table of Contents
- Why vectorize PNG images into SVGs
- How to convert PNG to SVG
- Conclusion
Converting any image into an SVG is not like a normal file conversion. You can't just save a PNG into an SVG file like when swapping between JPG and PNG. You will need to convert the raster image into a vector graphic, a process known as vectorization. To understand the conversion, let's talk about what an SVG really is.
SVG stands for Scalable Vector Graphic. Vector graphics are shapes build with vectors - anchor points and angles. Each shape has one color, shade, and transparency unless a filter is applied. This is why vector graphics are both smooth and tend to look a little less textured than the detail-fuzz created by pixels. To vectorize an image is to convert the colors and shapes in the image into shaded vector-shapes of the vector graphic. These shapes reform the image in both layered effects and independent form. Because this is such a drastic change in rendering technology, the quality of the vectorized graphic depends on the quality of the tool you use and the number of scans your take.
Why vectorize PNG images into SVGs
Why vectorized an image? For a graphic artist, there are many advantages to turning your PNG images into vector graphics. SVGs are perfectly scalable, both as individual SVG assets or exported back to bitmap graphic types like PNG and JPG.
If you are working on an SVG project, PNG assets can be added smoothly by vectorizing the image. You can also salvage low-quality PNG images or quickly grab a complex outline by vectorizing the shapes.
You may need lightweight and scalable assets for your websites and programs. Converting a PNG to an SVG will make it load faster and scale more smoothly both larger and smaller without losing detail.
How to convert PNG to SVG
Choose your vector-capable image software
The first step is to find a program capable of vectorization. There are online tools for this, but generally the quality of your output vector will depend on the quality of your tool. It's best to choose an advanced graphic design program, like CorelDRAW, that is capable of SVG editing and exporting.
Import your PNG file
Grab your PNG and upload it into your graphics program. Center your PNG in the editor and be sure the image is selected before seeking your vectorization tool.
Remove the background
If your PNG has a background that you don't want included, be sure to remove it. You can do this with a photo editor or with a smart select and delete tool.
Select the Bitmap Tracing or Vectorization feature
Bitmap tracing is the method used by vector editing programs like CorelDRAW. Our smart tracing tool is called PowerTRACE. This will trace over every color and shade variation in your PNG, defining the vector shapes that make up the image. Find your tracing tool with the PNG selected.
Tune the settings
Bitmap tracing can be done with a few variables. The number of scans, for example, determines the number of color-layers that are used to recreate the image. You can also choose factors like smoothing to reduce unnecessary vectors in the image.
Vectorize
Hit the button and watch the scans do their thing. You will find yourself with a new image made from many-layered vector objects.
Grabbing an SVG outline
If your goal was a simple vector outline shape instead of a detailed or layered vector graphic, lower the scans and grab the outermost layer, or use two or three selected layers to create a simpler vector graphic to work with.
Export as an SVG
Last but not least, export your file. Some graphic programs save directly to an SVG. If not, choose to Export your file (or a selected section of your file) and export it to a new SVG image.
Conclusion
With a little practice, converting PNGs to SVGs will become second nature. Be sure to experiment with tools and settings to find a vectorization that works best for you purposes and needed quality level.
Need to Download CorelDRAW?
Download a Free 15-Day Trial Now!
As a graphics design expert with demonstrable knowledge in image vectorization, I can provide valuable insights into the concepts discussed in the article you shared. Image vectorization, particularly converting PNG images into SVGs, is a crucial process in graphic design. Let me break down the key concepts mentioned in the article:
1. What is SVG (Scalable Vector Graphic)?
- SVG stands for Scalable Vector Graphic.
- Vector graphics are created using vectors, which are anchor points and angles.
- Each shape in vector graphics has one color, shade, and transparency (unless a filter is applied).
- Vector graphics appear smooth and less textured compared to pixel-based images.
2. Why Vectorize PNG Images into SVGs?
- Vectorizing is the process of converting raster images (like PNG) into vector graphics.
- Advantages for graphic artists include scalability and the ability to export to other graphic formats.
- SVG assets can be seamlessly added to SVG projects, enhancing flexibility.
- Vectorization allows salvaging low-quality PNG images and capturing complex outlines.
3. How to Convert PNG to SVG:
- Choose vector-capable image software (e.g., CorelDRAW) for quality vectorization.
- Import the PNG file into the graphics program.
- Center the PNG in the editor and ensure it's selected before using the vectorization tool.
- Remove unwanted background if necessary.
- Use Bitmap Tracing or Vectorization feature (e.g., PowerTRACE) to trace over color and shade variations.
- Adjust settings such as the number of scans and smoothing for desired results.
- Execute the vectorization process and obtain a new image made from layered vector objects.
- Optionally, grab a simple vector outline shape or export the file as an SVG.
4. Conclusion:
- Practice is key to mastering the conversion of PNGs to SVGs.
- Experiment with different tools and settings to achieve the desired vectorization for specific purposes and quality levels.
In summary, vectorizing PNG images into SVGs offers advantages in scalability, flexibility, and overall graphic quality. Choosing the right tools and practicing with various settings will contribute to achieving optimal results in image vectorization.
