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Translation quality

Improve translation quality without slowing global content

Deliver better multilingual content with AI translation, translation memory, terminology management, and collaborative review in one workflow.

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  • Reuse approved language across projects
  • Catch terminology and content issues earlier
  • Give the right reviewers control over high-risk content

Why it matters

Poor translation quality creates business problems, not just language mistakes

  • Inaccurate warnings, procedures, or product information can create safety and compliance exposure.
  • Inconsistent product language can confuse customers and weaken confidence in your brand.
  • Corrections after publication create rework, longer approval cycles, and delayed launches.
  • Unclear multilingual content can increase support requests and make it harder for customers to act.
  • When quality varies by market, teams can lose revenue opportunities and spend more to put content right.

The challenge

Why translation quality becomes harder to control as content grows

  • Different translators and teams use different terminology for the same product, process, or feature.
  • Generic AI translation may lack the company, product, and industry context needed for a strong first version.
  • More languages and stakeholders create longer review cycles and more disconnected handoffs.
  • Approved translations are not always reused, so teams correct the same content more than once.
  • Without a shared workflow, quality issues may be found only after content has been published.

The TextUnited solution

Build translation quality into the workflow

Move from source content to reviewed multilingual files through a practical, collaborative process.

1Step 1

Add your content

Upload or connect supported documents, websites, software content, or structured files in the formats your teams already use.

2Step 2

Translate with your language assets

Use AI translation with translation memory and approved terminology to create a stronger first version without treating AI output as final.

3Step 3

Review what matters

Let linguists, internal experts, and in-country reviewers validate meaning, terminology, and high-risk content in one shared process.

4Step 4

Check quality before delivery

Use quality checks to identify issues such as missing content, numbers, punctuation, terminology, or formatting before delivery where supported.

5Step 5

Reuse approved language

Keep approved translations and language assets available for future projects, so quality improves through reuse instead of starting from zero.

Why teams choose TextUnited

Designed for consistent translation quality at scale

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Consistent terminology

Approved product and technical terms stay available across languages and projects, reducing avoidable variation.

Faster review cycles

Reviewers can focus on meaning, risk, and exceptions instead of repeatedly checking routine content.

Flexible quality control

Route high-risk content to qualified reviewers while keeping lower-risk work moving through a lighter process.

Centralised collaboration

Comments, language assets, status, and approvals stay connected, giving teams clearer ownership of multilingual work.

Use cases

Where better translation quality makes the biggest impact

Technical documentationKeep terminology, warnings, procedures, and product references consistent across manuals and technical files.
Product localisationDeliver accurate product information across markets, channels, and release cycles without losing important context.
Marketing contentProtect brand meaning, tone, and product messaging across languages while allowing local teams to review what matters.
Regulated and safety-related contentApply structured review and approval where inaccurate content could create greater operational, regulatory, or safety risk.

Questions about improving translation quality

Learn more about translation quality

Language Quality Assurance (LQA) for AI TranslationLQA vs human reviewHow human review drives ROI in AI-driven workflowsAutomatic Post-Editing (APE) explainedThe real risk of AI translationWhat is Language Quality Assurance in translation?ISO 17100 translation certification

Improve translation quality before content reaches your customers

Build a workflow that reuses approved language, applies terminology consistently, and gives the right people control over review.

Start free trialRead how LQA works