Font Subsetting Strategies: Content-Based vs Alphabetical

On a recent project, I did a deep dive into optimizing web font loading. I wanted to switch from Google Fonts to hosting the fonts ourselves in order to speed up load times and reduce external dependencies. We were using the excellent, open source font Inter. I downloaded the font files and added them to the project. But, I quickly noticed that the size of the font files I was downloading had increased drastically since switching from Google Fonts.

Modern fonts often support text in a multitude of different languages and alphabets. Inter supports 51 languages and has 2,504 characters. This is awesome, but I don’t need all of that for the site I’m building, and I don’t want my site visitors to download 317kb of font files.

Google’s font files were smaller because they were subset. I wanted to do the same thing for the locally hosted version of the font. I found an excellent open source tool called GlyphhangerFootnote 1 which would allow me to split a font into smaller pieces, but I wasn’t sure what characters I should include in my subsets. I did some research and found two main strategies…

If you know your site content ahead of time, you can create a super-targeted subset that only contains the characters used on your site. For example, if the only text on your site was “Hello World”, you could create a subset that only contained those characters: “H”, “e”, “l”, “o”, “W”, “r”, and “d”.

Your site probably has more text than “Hello World,” but it probably has a lot less than 2,504 characters. For example, all of Alice in Wonderland only contains 75 unique characters!

!()*,-.03:;?ABCDEFGHIJKLMNOPQRSTUVWXYZ[]_abcdefghijklmnopqrstuvwxyzù—‘’“”Code language: CSS (css)

After subsetting Inter to the 75 characters in Alice in Wonderland, the file size drops from 317kb to 33kb. That’s almost one tenth the size of the original, and reduces the size of fonts loaded by 284kb!

If you want to subset based on content, you first need to determine what content is on your site. Luckily, there are a couple of prebuilt tools that can help:

• Glyphhanger (mentioned above) can scan your website and find the specific characters used by each font.
• Unicode Range Interchange allows you to paste in your site content and see a list of unique characters.

I won’t go too in-depth on this since you can view the links above for more instructions, but here’s an example of how to subset a font based on site content with Glyphhanger:

glyphhanger ./my-site.html --subset=Inter.var.woff2 --family='Inter, sans-serif'
Code language: Bash (bash)

Subsetting based on content allows you to make the smallest subset possible! But there’s a major downside: if your site has dynamic content there’s no good way to subset ahead of time. Even if your site is static, every time you make content changes you’ll need to re-subset your font. You can set up a build task to automate this for static sitesFootnote 2 , but for dynamic sites you’ll need to look for other options.

Luckily, there’s another approach for font subsetting that works well with dynamic content…

The strategy outlined above creates a single subset that’s as small as possible. For dynamic sites, it often makes sense to create a number of small subsets and let the browser pick and choose the ones it needs. That way, you’re providing the entire font but visitors only download the chunks that are used on the page.

This is possible because of the awesome unicode-range CSS feature. This allows you to specify that a certain font file contains certain characters. Then, the browser can check whether the page contains those characters and determine whether to download the file or not.

It’s very common to subset fonts by alphabet. For example, you could have one font file that contains the Latin alphabet, another that contains the Cyrillic alphabet, and another that contains the Greek alphabet.

You may think that your site only contains Latin characters. And you might be right! But once you’re creating a single subset, it’s not much more work to create the others.

Skipping this step now may set you up for problems in the future. If your site allows user accounts or has users fill out forms, you should definitely provide these additional alphabets. Your site visitors’ names or form input may require these characters.

We can take this strategy a step further and split large alphabets into even smaller subsets. For example, a base subset could contain commonly used letters from that alphabet and an extended subset could contain rarer letters that are less likely to be used on a page. On most pages, the browser is likely to only download the base subset, but the extended subset is there if it’s needed.

This is how Google Fonts subsets Inter. If you view Google’s CSS file for Inter, you’ll see that it contains 7 different alphabet-based subsets: Cyrillic, Cyrillic Extended, Greek, Greek Extended, Latin, Latin Extended, and Vietnamese.Footnote 3

First, we’ll need to figure out the appropriate unicode ranges for different alphabets. A unicode range tells the browser which characters a font file includes. I based my subsets off of Google Fonts but there are a number of other resources you can consult.Footnote 4

Once you’ve determined your alphabets and their unicode ranges, you can use Glyphhanger to generate your subsets. I put together a Node script to automate this process.

First, we’ll define our alphabets up front:

const alphabets = [
  {
    name: "cyrillic-ext",
    unicodeRange:
      "U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F",
  },
  {
    name: "cyrillic",
    unicodeRange: "U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116",
  },
  { name: "greek-ext", unicodeRange: "U+1F00-1FFF" },
  { name: "greek", unicodeRange: "U+0370-03FF" },
  {
    name: "vietnamese",
    unicodeRange:
      "U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+1EA0-1EF9, U+20AB",
  },
  {
    name: "latin-ext",
    unicodeRange:
      "U+0100-024F, U+0259, U+1E00-1EFF, U+2020, U+20A0-20AB, U+20AD-20CF, U+2113, U+2C60-2C7F, U+A720-A7FF",
  },
  {
    name: "latin",
    unicodeRange:
      "U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+2000-206F, U+2074, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD",
  },
];
Code language: JavaScript (javascript)

Then, we can iterate over our alphabets and create subsets. This script will create new subsets in a subsets subdirectory. You’ll likely need to tweak it to make it work with your font files.

import { spawn } from "child_process";
import path from "path";
import { renameSync } from "fs";
import { fileURLToPath } from "url";

// Set up dirname to make it easier to place our files
// @see https://leveluptutorials.com/posts/how-to-use-__dirname-with-esm
const __filename = fileURLToPath(import.meta.url);
const __dirname = path.dirname(__filename);

for (const alphabet of alphabets) {
  // We want to wait for each subset to finish before starting
  // the next one (this is required for some file renaming
  // done below)
  await new Promise((resolve) => {
    const glyphhangerProcess = spawn(
      "glyphhanger",
      [
        // Spaces in the whitelist breaks the CLI script
        `--whitelist=${alphabet.unicodeRange.replaceAll(" ", "")}`,
        `--subset=Inter-var.woff2`,
        "--output=subsets",
        "--formats=woff2",
      ],
      { stdio: "inherit" }
    );

    glyphhangerProcess.on("close", () => {
      // I couldn't figure out a way to change the output
      // file name in glyphhanger. Instead we manually change
      // it after the file is generated
      const oldPath = path.join(
        __dirname,
        `subsets/Inter-${font.name}-subset.woff2`
      );
      const newPath = path.join(
        __dirname,
        `subsets/Inter-${font.name}-${subset.name}.woff2`
      );
      renameSync(oldPath, newPath);

      resolve();
    });
  });
}
Code language: JavaScript (javascript)

Finally, we can create a CSS file that loads the subsets with the correct unicode ranges. Again, you’ll probably want to tweak this.

import path from "path";
import { writeFile } from "fs";
import { fileURLToPath } from "url";

const cssCode = "";

// Set up dirname to make it easier to place our files
// @see https://leveluptutorials.com/posts/how-to-use-__dirname-with-esm
const __filename = fileURLToPath(import.meta.url);
const __dirname = path.dirname(__filename);

// Create our font face rules
// This would need to be modified for other weights and styles
alphabets.forEach((alphabet) => {
  cssCode += `
    @font-face {
      font-display: swap;
      font-family: 'Inter';
      font-style: normal;
      font-weight: 400;
      src: url('subsets/Inter-var-${alphabet.name}.woff2') format('woff2');
      unicode-range: ${alphabet.unicodeRange};
    }
  `;
});

// Determine where to save our file
const cssPath = path.join(__dirname, "inter.css");

// Write our CSS file
writeFile(
  cssPath,
  `
/* Stop: this is a generated file. Do not edit directly. */
${cssCode}
  `.trim(),
  {},
  () => {
    console.log("CSS file written to:", cssPath);
  }
);
Code language: JavaScript (javascript)

As you can see, this can be trickier than creating a single subset, but it allows us to serve the entire font, support dynamic content, and only have site visitors download the parts they need.

Subsetting can have a big impact on font loading performance, but the ideal strategy varies depending on the type of site you’re building.

Subsetting is just one technique to improve the performance of web fonts. I highly recommend Zach Leatherman’s definitive article on the subject if you’re looking for other ways to improve your font loading performance.