Translating MadCap Flare Projects Without the Lingo Lock-In
The challenge
MadCap Flare is a powerful, XML-based authoring environment widely used for software, technical, and medical documentation. It supports complex structures such as variables, conditions, snippets, cross-references, indexes, and multiple output targets.
MadCap provides its own translation tool, MadCap Lingo, and on paper this looks like the obvious choice.
In practice, however, many long-running documentation teams run into serious limitations once translation moves beyond small, self-contained projects. As well as the additional license cost, translators are either required to translate within Lingo (not likely) or in the exported XLIFF which has thrown up a number of issues in common CAT tools, designed to work with XLIFF.
I’m often brought in after those limitations have already caused delays, broken files or lost translations.
Why MadCap Lingo often isn’t the right long-term solution
Lingo works best when:
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Translators are happy to work in a proprietary tool
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Projects are small and relatively static
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There is no need to integrate with existing translation memory assets
However, that’s not how most real documentation projects operate.
Common issues I see repeatedly
1. Translator lock-in
Using Lingo ties translators to:
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A proprietary environment they may not know
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A workflow that differs from standard CAT and TMS tools
Most professional translators and agencies are far more efficient — and safer — working in specialist CAT tools and enterprise TMS platforms. Forcing them into an unfamiliar tool increases risk, not quality. Project managers may be forced to choose translators, not for their suitability and expertise in the subject, but for their willingness to work with MadCap Lingo.
2. Poor reuse of existing translation memory
Many teams already have:
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Years of translation memory
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Approved terminology
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Established QA rules
Migrating that content cleanly into Lingo can be problematic, and even when imported, reuse rates are often lower than expected.
I regularly see 20–30% of segments failing to populate, even though the translations clearly exist in the TM.
3. Fragile XLIFF round-tripping
When Lingo projects are pushed out to external CAT tools via XLIFF:
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CAT tools can sometimes parse XLIFF, alternating minor attributes which conflicts with Lingo
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Minor inline tag changes can break re-import
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Editors are left unable to open or edit translated files
These issues can often surface after translation has completed and close to project deadline.
Broader problems when Flare expertise is missing
Even outside Lingo, I frequently see agencies struggle with Flare projects due to lack of structural understanding.
Typical failure points include:
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Incorrect handling of inline XML tags
One missing or misplaced tag can make a topic unusable. -
Conditions that don’t survive translation
Conditional sentences that work in English often fall apart linguistically in other languages unless they are deliberately designed for translation. -
Wrong CAT filters
Flare projects include more than just topics — snippets, variables, glossaries, indexes — all of which require the correct filters to avoid corruption. -
Too much or too little translated
Translating unnecessary files wastes budget; missing required ones leads to source language appearing in compiled outputs. -
Layouts that break in target languages
Especially in PDF outputs, text expansion can destroy layouts if targets aren’t checked properly before delivery.
The LocServe approach
I take a different approach to MadCap Flare localization — one designed for long-running documentation programs, not one-off jobs.
What I do differently
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I translate all Flare formats containing textual content, not just topics
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I protect XML structure and inline tags rigorously
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I maintain consistency across:
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Variables
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Snippets
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Cross-references
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Index entries
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I prepare content for the right tool for the translator, typically XLIFF or native CAT formats — without locking anyone into proprietary software
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Existing translation memories are reused with minimal loss
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Linguistic reviews are supported cleanly, with changes applied safely
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Ongoing updates are managed without overwriting language-specific fixes
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Most importantly, the workflow is designed so it can be reused release after release, often over many years.
Why not MadCap Lingo?
Comparison with the LocServe localization approach
| Area | MadCap Lingo | LocServe approach |
|---|---|---|
| Tooling model | Proprietary translation environment | Open, standards-based localization workflow |
| Translator experience | Translators must work in Lingo, often an unfamiliar tool | Translators use specialist CAT and enterprise TMS tools |
| Translation memory reuse | Migration and reuse of existing TMs is limited or unreliable | Existing TMs reused with minimal loss |
| XLIFF handling | Fragile XLIFF round-tripping to external CAT tools | Clean XLIFF or native CAT formats designed for safe re-import |
| Project stability | Sensitive to project recreation or restructuring | Stable across updates and long-running projects |
| XML & tag protection | Inline tags can break easily during translation | XML structure and inline tags protected end-to-end |
| Conditions & variables | Limited support for complex conditional logic | Conditions and variables handled explicitly and safely |
| File coverage | Easy to miss required files or translate unnecessary ones | Precise control over exactly what content is translated |
| Linguistic review | Review cycles become awkward once content leaves Lingo | Linguistic review supported without breaking structure |
| Ongoing updates | Difficult to manage repeated releases reliably | Designed for continuous localization over many years |
| Vendor flexibility | High dependency on a single tool and workflow | Freedom to change translators, agencies, or tools |
The result
For documentation teams, this means:
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No dependency on proprietary translation tools
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No lost translations during migration or updates
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Clean, buildable Flare projects returned every time
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Predictable localization cycles
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Confidence that documentation will compile correctly in every language
For all your MadCap Flare localization requirements, please feel free to arrange a free consultation.