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Language AI & Translation System for your business
Discover how leaders in tech companies speed up translations, reduce errors, and accelerate global product delivery.
What is translation vs localization? Key Differences Explained
Translation and localization are often used interchangeably, but they’re not the same. While translation converts words from one language to another, localization adapts the entire experience to fit local culture, tone, and context. In this guide, we’ll unpack what each means, why both matter for global businesses, and how to approach them strategically.
What is a CAT tool? Computer-Assisted Translation explained
Computer-Assisted Translation (CAT) tools are the quiet engines behind modern multilingual communication. This guide breaks down what they are, how they work, and why teams of all sizes rely on them to translate faster, stay consistent, and collaborate effortlessly.
What is translation glossary management and why it matters
Translation glossary management ensures consistent terminology across products, documentation and multilingual experiences. This guide explains what it is, how it works and why it matters for both human and AI translation workflows.
What is Translation Memory (TM) and how it improves accuracy
A Translation Memory (TM) is a linguistic database that stores previously translated sentences, phrases or paragraphs and reuses them across projects. By matching new content against existing segments, TMs improve consistency, save time and reduce costs. This guide explains how TMs work, their benefits and limitations, and how TextUnited helps you leverage TM alongside AI translation.
What is Language Quality Assurance (LQA) in translation?
Good translation isn’t enough, it’s LQA that makes it sound human. Explore how Language Quality Assurance blends AI and empathy to protect brand voice across languages.