Guides on localization, translation workflows, and building products for a global audience.
Finding good translators is only half the job. Structuring roles, permissions, and review responsibility is what actually keeps quality high.
Most localization problems aren't translation quality issues — they're process gaps that show up the same way across almost every team.
Open-sourcing your localization work can bring in volunteer translators — but it's not the right call for every product. Here's how to decide.
Treat translations like code: pull the latest strings automatically, fail the build on missing keys, and stop shipping half-translated releases.
The moment you have more than one translator, terminology drift becomes a real risk. A shared glossary is the cheapest fix.
Every platform wants strings in a different shape. Here's what each major translation file format is for and when you'll actually run into it.
AI translation is fast and cheap, but it isn't a replacement for human review. Here's a practical framework for deciding where each one fits.
A practical, four-stage workflow — from string extraction to review — that scales from a two-person side project to a multi-language product team.
The two terms get used interchangeably, but they describe different scopes of work — and mixing them up leads to under-scoped projects.
Localization is more than translating strings. Here's what actually goes into shipping a product that feels native in every market you support.