BEHIND THE SCENES

How LingoFonts Is Actually Built (Including the Bugs We Found)

Most “about our tools” posts are marketing copy. This one is a record of what actually went into building and fixing LingoFonts’s generators — including the mistakes, because pretending a site was built without any is less useful to anyone than showing the real process.

Why five separate generators instead of one big list

Most competing font-generator sites run a single page with one long list mixing every style together. Early on we made the call to split LingoFonts into dedicated generators — Cursive, Calligraphy, Aesthetic, Bold Text, and Fancy Text — each with its own page, its own FAQ, and its own structured data. It’s more work to maintain five pages instead of one, but it means someone looking for cursive styles isn’t scrolling past 80 aesthetic styles to find them.

Verifying font counts against the live tool, not estimating them

Every number on the site — “32 real Google fonts,” “40 Unicode styles” — is checked against what the live generator actually outputs, not written from memory or rounded for a nicer-sounding headline. When the Cursive Generator page says 32 real fonts plus 40 Unicode styles, that’s because we counted them directly from the tool’s own rendered output, the same thing a visitor would see if they counted manually.

A real bug we found and fixed: structured data that silently wasn’t showing

During a recent SEO audit, we found that the Cursive Generator page’s schema markup (the structured data that helps it show up correctly in search results) had a working, correctly-written snippet that simply wasn’t firing. The cause turned out to be a “Smart Conditional Logic” toggle that had been accidentally switched on with zero actual conditions configured — which silently suppressed the whole snippet site-wide, with no error message anywhere to flag it.

The Bold Text Generator had a different bug: its schema snippet was set to run on a WordPress hook that fires before the page’s URL is fully resolved, so the code that checked “is this the bold text page?” never returned true. Two different pages, two different causes, both invisible until we went looking with a proper before/after check against the live page instead of trusting the admin panel at face value.

We’re mentioning this not because it’s a dramatic story, but because it’s the kind of unglamorous, specific debugging that actually goes into keeping a site’s technical SEO correct — not just set up once and assumed to keep working.

Documenting what doesn’t work, not just what does

Unicode-based “fancy text” has real, permanent limitations, and we’d rather state them plainly than let people find out the hard way:

  • Small caps has no true Unicode form for the letters Q or X — every generator, including ours, falls back to the plain capital letter for those two.
  • Most styles (italic, script, fraktur, and their bold variants) have no digit forms at all in Unicode. There’s no such thing as an “italic 5.”
  • Screen readers frequently mispronounce or skip styled Unicode text entirely, because it’s technically a different character, not a font applied to the same character. We say this directly in each generator’s FAQ rather than only in fine print.

The reference is open source

The actual Unicode code-point mappings behind these generators — including the historical reason certain letters (like italic lowercase “h”) use a completely different Unicode block than the rest of their alphabet — are published as a documented, open-source reference on GitHub. It’s free to use for anyone building a similar tool.

Update, October 2026: what changed since this was written

This post first went up in August. Since then, the site has grown and we have fixed several of our own mistakes. Here is what changed and why.

From five generators to ten

LingoFonts now has ten generators: Cursive, Calligraphy, Aesthetic, Bold, Fancy, Discord, TikTok, Twitter/X, Instagram, and Upside Down. Each new tool went through the same process described above: check the output against the live tool, test it on the platform it is named after, and write down what does not work there.

Measuring whether a tool is actually useful

Page views do not tell us whether a generator did its job. So we added an analytics event to every Copy button. That lets us see which tools people actually use, not just which pages they open. If a page gets visits but almost no copies, that tells us the styles on offer are not what people came for, and that page goes to the top of our list to improve.

Fixing pages that competed with each other

We found that some of our own pages were targeting the same search. An article about aesthetic fonts lived at a URL that sounded like the generator itself, and three separate posts all covered bold text. Pages like that confuse visitors and split their attention. We merged the overlapping bold text posts into one complete guide, gave the aesthetic article its own clearly named address, and added permanent redirects so old links still land on the right page.

Connecting each tool to its guides

Every generator now has a “Guides for This Tool” section that links to the articles explaining it, and the articles link back to the tool. If you land on a guide from search, you are one click from trying the style. If you land on a tool, you are one click from understanding its limits.

Testing claims instead of repeating them

When we wrote about how AI search engines read styled text, we did not rely on assumptions. We ran Unicode normalization (NFKC, the standard way of converting look-alike characters to plain ones) on nine text styles and published what actually happened, including the styles that do not survive. That is the standard we try to hold every article to: if we can test it, we test it before we write it.

What’s next

LingoFonts is a long-term, actively maintained project, not a one-time launch. That means continued accuracy checks on every generator, more of this kind of behind-the-scenes documentation, and new tools built with the same standard: real numbers, documented limitations, and fixes we’re willing to describe honestly.

You can see the results in the tools themselves: start with the Cursive Generator, the Calligraphy Font Generator, or the Fancy Text Generator. For the technical background, read Unicode Text vs. Real Fonts and How AI Search Engines Read Unicode Text, and our font generator FAQ guide answers common questions.

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