Technology that mimics human intelligence to support, enhance, or automate parts of the localization process.
Artificial intelligence refers to systems that can learn from data, identify patterns, and make decisions with minimal human input. It spans technologies like machine learning, natural language processing (NLP), and computer vision, tools already shaping how content is created, translated, and adapted.
In localization, AI helps automate routine steps, assist with content evaluation, and support teams handling large-scale multilingual projects.
Rather than replacing translators (which is one of the main concerns in the industry), AI helps in performing essential tasks quickly, such as pre-analyzing content, suggesting translations, flagging inconsistencies, and streamlining visual or functional adjustments across languages. When integrated well, it makes localization workflows more efficient without compromising quality or nuance.
For teams managing large volumes of content across multiple languages, AI offers speed, structure, and flexibility. It helps reduce bottlenecks, allows for quicker iterations, and frees up time for tasks that need human judgment, like adapting tone, interpreting context, or localizing for niche audiences. Used effectively, it sharpens both the pace and precision of localization.
More information about Localazy AI here. Check out our content on artificial intelligence on the blog!