Locize bridges the gap between raw AI speed and professional quality. Use your own LLM providers (OpenAI, Gemini, Mistral, etc.) to maintain data ownership while automating your localization loop.
Unlike other platforms that lock you into their proprietary (and often marked-up) AI services, Locize gives you the choice.
Maintain your existing enterprise agreements with OpenAI or Azure. No middle-man markups.
Translations are processed using your provider's privacy settings. Your data isn't used to train our models.
AI localization is the practice of adapting content to the cultural and linguistic context of your audience. It goes beyond direct translation — aiming to preserve meaning, intent, tone, and UI fit.
In Locize, AI is integrated into your existing translation workflow so teams can generate drafts faster, then review and refine with confidence.
A practical, step-by-step workflow you can apply to websites, apps, games, and product UI.
Add your OpenAI, Gemini, Mistral, or other provider key so you keep data ownership and can choose the model you prefer.
Pick the model that fits your quality, latency, and budget needs. For UI localization, results are often close to publish-ready — with review.
AI is only as good as the info it receives. Locize automatically feeds your project glossary and key-level descriptions into the prompt, ensuring the AI knows that 'Drive' is a noun (storage) and not a verb (driving).
Keep terminology consistent by continuing to use Locize’s glossary and translation memory features.
Translate single segments, run bulk actions, or automate via the automatic translation workflow.
Rephrase, shorten, or generate variants to match UI constraints and tone — then let translators review and finalize.
Keep up with fast product iteration without making localization a release blocker.
Quick answers about AI localization in Locize.