People first started to localize software in the early 1980s, but it was mostly the large corporations that could afford this. The process didn’t look like today; it was basically a tech nightmare. Localization was manual and translation happened only after the product was 100% finished.

This ended when we know as a TMS was born. Today, companies of all sizes ca...

Large language models (LLMs) are literally everywhere, including in the localization industry. They’re fast and surprisingly fluent, but sometimes they’re almost good enough. We understand the hype, because they can generate fluent text in seconds, can handle multiple languages at scale, and can reduce turnaround times in ways we wouldn’t have thought. However, i...

We’re spoiled for choice nowadays with a multitude of translation management system options, but that makes the decision even harder, doesn’t it? It’s hard to pick just one when each promises to do the things you, as a global company, need, and that’s to centralize multilingual content, automate workflows, and integrate into your development, design, and marketing stacks....

Generative AI is an AI system that generates translations, rewrites, adaptations… basically what you need for localization. Its outputs feel natural and context-aware. This technology does feel different from the traditional machine translation (not that you should ditch other methods of translation). Bonus: it can also generate multiple alternatives for the same text, so...

Multilingual CMSs allow you to create, manage, and publish website content in multiple languages. Many platforms come with built-in multilingual features or plugins to manage language versions of various elements. However, as excellent as they are for managing content, they’re not always optimized for handling large-scale projects. That’s why we believe the best solution ...