Why I Grok Fonts
Created 2026/10 – Alfred Reibenschuh – some parts have been rewritten or translated by Copilot and ChatGPT in the english language.
The Journey
To truly understand a font, you cannot merely look at its letterforms on a crisp screen. You have to know what happens beneath the surface: how vector curves translate into raw bytes, how glyph grids align to physical hardware, and how mathematical instructions survive the journey across platforms, languages, and decades. My relationship with digital typography is not an aesthetic hobby—it is a lifelong, hands-on relationship with the lower-level plumbing of text renderers.
It all began in the 1980s. Working with early personal computers as a kid, I was introduced to a world where every single pixel had to be accounted for. Screen resolutions were humble, and getting a computer to display anything beyond basic system text was an exercise in technical curiosity.
By the 1990s, desktop publishing (DTP) had arrived, and I found myself in the thick of it. Setting up DTP software across an array of operating systems and configuring them to work reliably with a dizzying variety of printers was character-building work. This was the era of PostScript drivers, font metrics files, missing glyph mappings, and hardware rasterizers. If a printer failed to render a kerning pair or substituted a system fallback, I had to figure out why. You couldn't just "install a font"—you had to align the software stack, the print engine, and sometimes the physical ink on paper.
When the 2000s arrived, I took that mechanical understanding to the code level by writing a PDF output creation library in Perl. Constructing low-level PDF file structures, handling PostScript operators, embedding Type 1 and TrueType fonts, and calculating output metrics demystified fonts entirely. They were no longer mere design assets; they were structured tables of vector paths, encoding maps, and hinting instructions translated into output streams.
Technology evolved, and so did my tools. In the 2010s, I reimplemented that PDF generation library in Java, refining its object model, and then some. A decade later, in the 2020s, I translated those core concepts once again—this time rebuilding the library in Go to leverage modern concepts and lessons learned. Rebuilding the same fundamental PDF creation mechanics across three distinct programming paradigms over twenty years forces you to master most nuances of the format.
Today, after four decades of wrestling with glyph tables, horizontal metrics, CID maps, and PDF stream structures, reading raw data structures in hexdumps feels as natural to me as reading my native tongue. I "grok" fonts because I haven't just used them—I've parsed them, structured their headers, outputted their curves, and written the underlying libraries that stream them to life.