What is Continuous Localization?

Continuous localization applies the logic of continuous integration to translation: instead of batching localization into a phase before each release, translation runs constantly alongside development. New keys flow to translators as soon as they are merged, translations flow back as soon as they are done, and no release waits on a localization freeze.

The batch model fails in the same way infrequent deployments fail: work piles up, the handoff becomes an event, context is lost by the time translators see the strings, and the localized release trails the source release. Continuous localization keeps batches small, so each translation task arrives while the feature is fresh and coverage stays near complete at all times.

It requires tooling by definition, automated key sync, a platform where translators work independently of developer schedules, and ideally runtime delivery of finished translations. Teams usually pair it with machine translation for instant first-pass coverage, with human review upgrading strings behind the scenes.