AI (Artificial Intelligence)

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.

✅ What is AI used for in localization? #️⃣

  • Running pre-translation QA to catch formatting, syntax, or content gaps.
  • Offering tone and terminology suggestions based on past projects or brand voice.
  • Detecting layout issues in UIs with varying text lengths or reading directions.
  • Adapting imagery to fit cultural expectations in different regions.
  • Generating voiceovers and subtitles for training videos or marketing assets.

🔵 How AI fits into localization workflows #️⃣

  • Works within TMS platforms or multi-agent systems to automate repetitive steps.
  • Lightens the load on linguists by pre-processing content or suggesting edits.
  • Improves consistency across terminology, memory, and style guidelines.
  • Surfaces cultural or usability concerns early in the process.
  • Requires human oversight (AI is a tool, not a decision-maker).

🌐 Why it matters #️⃣

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!

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