To make custom web font works in SVG files, we actually convert every letter from text into SVG path instead of embedding the whole font file inside it. If you use those SVG files with dynamic sizing, remember to check it's visual appearence in different resolution before shipping your works. While SVG is scalable-vector-based and should be responsive-ready, sometimes there are still unwanted aliasing/jagged edges or not-aligned shapes, due to number rounding / precision issues when rendering. Consider using CSS property " will-change" to prevent redundant re-rendering when you use those downloaded SVG files, just like we've done in our stylish text gallery. This is especially true when using complicated SVG filters, and almost all filters here are complicated. Rendering SVG can be more CPU-intensive than rendering raster images like PNG or JPG. For a detail list of browser support for SVG filter, check Can I Use "SVG filter" for more information.
Generally speaking modern browsers like latest versions Chrome, Firefox and Safari should be able to render them correctly, but you should check if you need to support browsers like IE9. Just like there are some CSS attributes that are not well-supported by all modern browsers, there might be difference between implementations of browsers to the SVG filter we use, specially of the old browsers like Internet Explorer.
Since SVG is well-prepared for everyone to use in HTML5 era, you will still want to know about its limitation so you can choose which one to use between SVG and PNG more wisely. WordArt.For every fancy text effect, we provide both SVG and PNG format for you to download. Want to go further than word clouds? Try out this sentiment analyzer, also created by MonkeyLearn. You’ll find plenty of customization options, too.Ĭhange fonts, color schemes, word quantity, and theme, then download your high-definition word art in PNG and SVG formats, and download your raw data (frequency and relevance scores) in a CSV file. MonkeyLearn’s word cloud generator also reduces words to their root form, a process known as stemming, and determines which words are most relevant by measuring how rare, descriptive, and how long a word is – instead of just measuring word frequency.
Take a look at this tag cloud, above, and notice phrases like “nice staff”, “friendly staff”, providing you with deeper insights about the hotel staff. It automatically detects collocations (words that often go together) in sentences, paragraphs, and documents, offering more context than word clouds with just single words. MonkeyLearn's WordCloud Generator is completely free, and equipped with artificial intelligence (AI) to deliver more accurate and unique results than other word cloud tools.
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