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LANGKIT GUIDES

Human Translation vs AI Translation for Apps

Choose a workflow based on the risk of each message, not an all-or-nothing rule.

Compare speed, cost, terminology control and review requirements for multilingual product teams.

Where AI helps

AI translation can create fast first drafts and handle routine UI strings. It works best when messages have context, terminology guidance, and checks for placeholders.

Where human review helps

Product promises, financial text, consent, accessibility labels, legal disclaimers and culturally sensitive copy often need human evaluation. A fluent sentence can still mislead users.

Combine both

Generate drafts and collect human alternatives in a review queue. Keep approved translations separate from unpublished proposals. Reviewers should see the source snapshot and any recent changes.

Measure quality

Track acceptance, revisions, missing translations and confirmed defects. Do not confuse AI provider output volume with successful localized product delivery.

Common questions

Can AI drafts be accepted automatically?

The collaborative draft flow does not automatically approve or publish suggestions.

Who pays for AI drafts?

The owner account pays for granted AI usage according to its subscription and token balance.

Before relying on this in production

Confirm support for your resource syntax and test exported translations in your application. Documentation describes supported workflows, not a guarantee of lossless conversion for every specialized format.