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AI translation grounded in your glossary, memory, and QA

LingoHub sits between your repo and the model. Grounding, QA, and review are the product. The model is the engine you choose.

Use your glossary, style guide, translation memory, and product context when generating translations.

Run terminology, formatting, and consistency checks before content moves through the workflow.

Let LINA draft and check content while your team reviews the translations that need human attention.

Translation is easy. Consistency is a system.

Any model can draft a sentence. Keeping the same term, the same tone, and the same placeholders across twelve languages and forty releases takes a glossary, a memory, QA, and a place where approvals live. That is what LingoHub adds to the engine.

From AI draft to approved translation

LINA works inside your localization workflow, using your assets and QA rules before content reaches approval.

Explore LINA Go to AI LINA page

Flexible engine setup

LingoHub applies your glossary, translation memory, QA, and workflow around the engine you choose.

AI models (LLMs)

Claude, Gemini, Mistral, OpenAI GPT


Machine translation

AWS Translate, DeepL, Google Translate V3

See AI in action Book a demo and see how AI LINA works
Illustration of a the LingoHub logo connected to AI, machine translation, cloud, and localization technology platforms.

Why a chat window is a draft, and a localization platform is a release

A chat can generate a translation. LingoHub keeps that translation connected to your glossary, translation memory, QA rules, approvals, and localization files as your product changes.

Language you can ship

Your terminology stays consistent, QA is complete, and the translations are ready for the next release.

Frequently asked questions

Got questions? We have the answers.

What is AI translation, and how does it work in LingoHub?

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LingoHub uses AI engines and large language models (LLMs) to deliver natural, context-aware translations instead of simple word-for-word replacements. AI translations are enriched with user-specific content such as translation memories, glossaries, and style guides to ensure consistent terminology, tone, and brand voice across all languages. You can use LingoHub’s integrated AI and MT models or connect your own preferred LLM to align translations with your organization’s requirements.

Which languages and content types are supported for AI translation in LingoHub?

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LingoHub language support depends on the selected engine, with AI-powered translation available for more than 200 languages.

The platform supports a wide range of content types, including software, websites, mobile apps, games, technical documentation, help center content, and marketing materials.

Can LingoHub handle technical or specialized content?

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Yes. LingoHub’s AI translations can be enhanced for technical and industry-specific content by using contextual resources such as glossaries, translation memories, and style guides to improve terminology consistency and translation accuracy.

How does LingoHub ensure high-quality AI translations?

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LingoHub gives users the flexibility to choose the AI engine that best fits their language pair and content type. Automated quality checks help ensure accuracy by validating terminology, placeholders, formatting, and character limits, while translation memories, glossaries, and human post-editing contribute to consistent, high-quality results.

Are AI translations included in all LingoHub plans?

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Yes. All LingoHub plans include access to multiple AI translation engines and a monthly allowance for linguistic credits. Users can monitor usage, control costs, and manage budgets directly within the platform.