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A system approach to translation

Advanced translation system built for control.

Turn translation into a predictable system driven by your language data - from AI translation to publishing.

AI alone is just an engine.

Content is translated inconsistently, complex formats break, and nothing is organized. TextUnited changes that.

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Apply terminology automatically

AI translations follow your approved language data across all projects.

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Translate files without rework

Preserves structure and formatting, even in complex files.

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Human review before content goes live

Translations are approved by human experts within defined workflows.

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Build reusable language database over time

Every approved translation becomes a language asset and improves future output.

For complex content, translation needs control

Language is no longer a service you outsource - it’s a system of data and content operations you own. Without it, translation stays fragmented across teams, tools, and external vendors.

TextUnited brings translation into one system for complex content in engineering-driven and regulated environments.

Do you want to know more?

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System capabilities

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Quality governance

"No pass, no publish" - binding QA gates, risk routing, and audit trails for every translation decision.

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Format integrity

Complex files (XML, IDML, SCORM, JSON) translated without breaking structure - zero manual fixes.

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Language data ownership

Terminology, translation memory, and style - centralized, reusable, yours. Not locked with a vendor.

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AI under control

Use AI safely with model allowlisting, defined data flows, and human accountability built in by design.

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Workflow orchestration

Translation embedded into your systems - custom integrations, or via API. Delta syncs, in-place review, no copy-paste.

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Scale without rework

As volume of content grows, reuse compounds. Every correction, term decision, and approval feeds the next project.

How TextUnited improves your translation operations

Without a translation systemWith TextUnited
Workflow controlContent routed through emails, files and disconnected tools☑️ All processes with role-based access in one place
QA & risk routingErrors caught after publishing, no systematic way to escalate or block risky content☑️ Binding QA gates flag critical segments automatically and route them to the right reviewer before publish
Terminology consistencyTerms drift across documents, teams and markets - inconsistencies reach customers☑️ Unified terminology applied automatically at translation time, across AI and human workflows
File formats & structureFormatting breaks in complex files - hours of manual fixes after every translation☑️ Native file structure preserved throughout, formatting fidelity checked before delivery
Human oversight & reviewFeedback scattered across emails and files, no structured accountability for translation☑️ Role-based review built into workflows - human accountability where content is business-critical
AI governanceTeams avoid generic AI or they use public tools without control over data flows or output reliability☑️ AI used within defined parameters - model allowlisting, clear data flows, human sign-off built in
System integrationTranslation triggered manually, outside core systems - every update requires coordination☑️ Embedded via API into your existing stack with delta syncs and in-place review
Language data managementLanguage data stays with external vendors - no ownership☑️ Language data stored on your account and reused in future projects

Translation is part of your content operations

Especially when you manage:

→ Complex technical and product content
→ Regulated and compliance-driven materials
→ Distributed teams and multi-market output

And it requires more than an engine

→ Consistent terminology and quality across all content
→ Formatting preserved in complex files
→ Processes that don’t break across systems, teams, and vendors
→ Secure environment for sensitive documentation

FAQs