How to choose the right translation approach in TextUnited (TMS)

Executive summary

Most teams treat translation as a task to complete. The ones who scale it treat it as an operational workflow with control.

TextUnited offers three distinct approaches: Translate text, Translate file(s), and Translate projects. Each is designed for a different level of complexity, speed, and control.

The goal is not to choose one, but to use each based on your content format and whether it requires coordination.

Translation scales when it moves from one-off tasks to a system that learns and improves over time.

Approach 1 - Translate text

For speed, clarity, and brand voice control

Translate text in TextUnited system is more than a simple text translator. It is designed to help you control how something is said, not just what it means.

Users can adjust tone, enforce terminology, meaning the output reflects your brand voice and preferred terms, not generic MT defaults.

How it works

1. Select target language
2. Customize your style guide including the domain(*)
3. Terminology is automatically extracted from the source text
   (In this area, users can optionally apply the preferred translation for each term if they want so it stay consistent throughout the workflow)
4. Start translating

Domain(*): In a translation management system (TMS), a domain typically refers to a specific subject area, industry, or context that dictates the specialized terminology and style of the content being translated.

Best use cases

It is best used for emails, marketing copy, website snippets, and internal communication. Anything where the phrasing matters and you want to iterate quickly. Paste, adjust, translate; done in seconds.

What makes it valuable

• Immediate results in seconds
• Control over terminology and tone of voice
• Ideal for drafting and testing content

Approach 2 - Translate file(s)

For instant, ready-to-use documents with preserved formatting

Translate file(s) is built for speed at scale. It allows users to upload one or multiple files and receive translated versions that retain their original layout, structure, and formatting.

This is where translation becomes operationally efficient.

How it works

1. Select target languages
2. Enable Enhanced quality* (recommended)
3. Choose style and domain
4. Drag and drop your files (PDF, DOCX, PPTX, XLSX, IDML, JSON, and more)
5. Download ready-to-use documents

* Enhanced quality: When you activate this, TextUnited applies Automatic Post-Editing (APE). APE improves machine translation output by learning from previous corrections and refining fluency, consistency, and terminology before human review.

Automatic Post-Editing (APE) transforms approved translations into immediate quality improvements.

Best use cases

This is the right choice for contracts, tenders, reports, product documentation, and any "I need this document to be translated now" scenario where speed matters and users don’t have time to re-design the file formats.

What makes it valuable

• Preserves layout, formatting, and file structure automatically
• Applies company terminology consistently across documents
• Handles multiple files efficiently in one workflow
• Delivers ready-to-use outputs without manual rework

Approach 3 - Translate projects

For complex, high-stakes, and scalable translation workflows

This is where translation stops being a task and becomes a system. Translate projects in TextUnited give you a governed environment with assigned roles (translator, reviewer, approver), multi-step workflows, approval gates, translation memory, and a terminology database that grows with every approved segment.

The fundamental shift is this: in file translation, you produce an output. In project translation, you are continuously improving a system. Every reviewed and approved sentence feeds back into translation memory, reducing cost and increasing consistency for the next time that sentence (or anything like it) appears.

In projects, every translation becomes training data for the next one.

How it works

1. Upload file(s) (similar to

2. Flexible ways to get your translation done

Choose the approach that fits your workflow:

• Outsource to TextUnited’s professional translators
  Ideal if you want high-quality results without spending time on the process, while still maintaining full visibility and control over progress in the same system.

• Collaborate with your in-house team
  Empower your team to work more efficiently with structured workflows, shared terminology, and consistent outputs; all happens in a shared workspace.

3. Start translating

Working within a structured translation system transforms translation from a one-off task into a scalable, controlled process. This is where the real value comes in.

When translation begins, the system automatically highlights where attention is needed using the signals - represent automated quality estimation of AI translation

• Green: The translation is likely correct and consistent. No immediate action needed.
• Yellow: The translation may require review for accuracy, terminology, or style.
• Red: Potential issues detected. Review is strongly recommended.

Instead of reviewing everything manually, export teams focus only on what actually needs checking.

• Apply terminology databases and translation memory (TM)
• Review and approve translations
• Store approved content for future reuse

4. Review issues and apply fixes once

As you review the translation, the system highlights patterns such as "repetition". These aren’t errors, they are signals that help you spot where the same wording appears multiple times within the file.

When you edit and save a correction, it is stored in translation memory (TM). You can choose to apply the fix only once (✓), or apply it everywhere (✓✓) the same issue appears. From that point on, the system remembers the decision.

Translation memory (TM) matches are shown separately as percentages below the translated sections (e.g. 80%, 100%).

5. Enforce terminology for consistency

You can add product names, feature labels, or technical terms so they stay consistent across files and projects.

If you already have a terminology list, adding it upfront saves time. If not, it can be built gradually as work progresses.

And this is where the real benefit starts to show.

With each project, more content is reused automatically, fewer issues are flagged, and less manual correction is needed. Translation stops feeling like a one-off task and starts behaving like shared knowledge that carries forward.

That’s how export teams move from recreating content under pressure to confidently reusing what already works, without changing everything at once.

Best use cases

Usually this approach is recommended for technical documentation, regulated content, product manuals, multi-market rollouts, and any high-stakes business content where auditability and consistency are non-negotiable.

What makes it valuable

• Structured workflows with clear roles and responsibilities
• Terminology and translation memory (TM) ensure consistency over time
• Approved translations are stored and reused automatically
• Full visibility and control over the translation process

How leading teams use TextUnited

The most effective teams do not rely on a single approach. They combine all three as each one does the job it is genuinely suited for.

A typical workflow looks like this:

• Translate text → Draft and refine messaging
• Translate file(s) → Quickly translate documents for immediate use
• Translation projects → Finalize, validate, and build reusable language assets

A campaign manager might use “Translation Text” to test headlines in three languages; “Translate file(s)” to distribute the brief to regional offices; and “Translation projects” to govern the final localized assets before publish. The approaches are not competing, they are complementary.

The insight is deceptively simple: the best teams do not choose one. They orchestrate all three.

Final thoughts

AI has made translation faster than ever. But speed alone does not solve the real challenge. The real advantage of working with a structured translation system comes from:

• Consistency across languages
• Reuse of approved translations
• Control over how meaning is communicated

AI generates translations. Systems determine whether they scale.

Key takeaways

• Translation is not one activity. It is a set of approaches depending on how you work with content.
• Translate text is best for quick, controlled wording and iteration.
• Translate file(s) is ideal for structured documents that need to retain formatting and be ready to use instantly.
• Translate projects enables collaboration, review, and continuous improvement through reusable language assets.
• High-performing teams combine all three to balance speed, structure, and scalability.

The advantage is not in translating faster. It is about coordinating the workflow inside a system that improves with every translation.