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.
Glossary, style guide, translation memory, and visual context give LINA the information it needs before the first draft.
Glossaries define product terminology
Define key terms once and apply approved terminology across languages.
Style guides define how your brand writes
Set tone, formatting, and writing rules that LINA can use when drafting translations.
Translation memory brings approved translations forward
Reuse translations your team has already approved as context for future drafts.
Screenshots show where strings appear
Give LINA visual UI context to reduce ambiguity when the same string could mean different things.
Figma connects design and localization
Bring design context into the localization workflow and translate strings with their interface in view.
LINA works inside your localization workflow, using your assets and QA rules before content reaches approval.
Draft with your context
LINA uses your glossary, style guide, memory & product context when generating translations.
Check against your rules
Terminology, formatting, placeholders, and other QA rules are checked as part of the workflow.
Route content to the right next step
Move translations into review or let LINA check and approve eligible segments automatically.
Get enterprise-ready AI translations
Protect projects and language assets
Secure your localization workflows with encryption, secure APIs, and controlled access to all data.
Ensure governance and compliance
Operate with certified controls and deployment options that support auditability and regulated environments.
Ground AI in your business context
Use approved terminology and product context to keep translations consistent and reliable.
Maintain control and visibility
Track activity, manage access, and monitor workflows across teams, assets, and languages in one place.
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
What is AI translation, and how does it work in LingoHub?
LINA drafts inside your translation memory, glossary, and style guide. QA checks placeholders and terms. Your team members approve what the workflow requires.
Which languages and content types are supported for AI translation in LingoHub?
Language availability depends on the selected AI or machine translation engine. LingoHub can process multilingual content from software, websites, mobile apps, documents, help centers, and other supported localization files and integrations.
Can LingoHub handle technical or specialized content?
Yes. LingoHub provides project-specific context through glossary terms, translation memory, style guides, labels, and other contextual information, helping AI engines apply the terminology and conventions defined for your product.
How does LingoHub ensure high-quality AI translations?
LingoHub checks AI-generated translations against your project assets and QA rules. Glossary terms, translation memory, style guidance, placeholders, formatting, and other quality checks help identify issues before content moves through the review workflow.
Are AI translations included in all LingoHub plans?
Yes. LingoHub plans include linguistic credits that can be used with supported AI and machine translation engines. Usage depends on the selected engine and the amount of content and context processed. Additional linguistic credit capacity is available as a monthly or yearly add-on.
Why not only use ChatGPT for localization?
A chat multiplies whatever you paste and forgets it. LingoHub keeps the source of truth, so the next release matches the last one.
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