Expert MadCap Flare localization services including multilingual DTP, conditional tag management, and output format handling for technical documentation.
MadCap Flare is an advanced technical authoring tool used to create, manage, and publish documentation across multiple output formats including HTML5, PDF, Word, and EPUB. Unlike traditional desktop publishing applications such as Adobe InDesign or FrameMaker, Flare uses a topic-based authoring model built on XML, which means content is stored in discrete, reusable chunks rather than in long linear documents.
This architecture creates unique challenges for localization and DTP. Flare projects contain not just the visible content but also conditional tags, snippets, variables, table of contents structures, cross-references, and relationship tables — all of which must be handled correctly during translation. A standard DTP operator unfamiliar with Flare may inadvertently break conditional logic, corrupt snippet references, or disrupt the build process.
Specialized DTP for MadCap Flare requires understanding the project file structure (.flprj), topic files (.htm), snippet files (.flsnp), and how they interconnect. The DTP operator must be able to navigate the Flare interface, verify that conditional expressions still evaluate correctly in each target language, and ensure that the output — whether it is a responsive HTML5 site or a print-ready PDF — renders properly with the translated content.
At Opticentre, our Flare specialists work directly within the authoring environment rather than exporting to intermediate formats. This preserves the integrity of the project structure, reduces the risk of build errors, and ensures that all outputs compile cleanly after localization. We test every target output format as part of our QA process, so you receive production-ready deliverables rather than raw translated files that still need engineering.
Our Flare localization workflow is designed to preserve the full integrity of your project while delivering translated, build-ready output. The process begins with a thorough analysis of your Flare project package. We examine the topic structure, identify all conditional tags and their build expressions, catalog snippet dependencies, and map variable sets that may need language-specific values.
We work with your exported translation package or directly with the Flare project files, depending on your preferred workflow. When using Flare's built-in Lingo integration, we process the XLIFF files through our CAT tools while maintaining all inline formatting tags and Flare-specific markup. When working directly with topic files, we use a controlled extraction process that preserves the XML structure and all MadCap-proprietary elements.
During the DTP phase, our operators open the localized project in MadCap Flare to verify visual rendering, fix text expansion issues (common when translating from English to German, French, or other languages that typically run 20-35% longer), and adjust layout elements such as drop-down text areas, expanding text sections, and responsive content regions. We also verify that all cross-references resolve correctly and that the table of contents hierarchy reflects any localized heading changes.
Before delivery, we compile every target output defined in your project — typically HTML5 and PDF — and run a visual QA pass against the source-language output. This ensures that no build warnings have been introduced, all images and multimedia references are intact, and the final output matches your quality expectations. We deliver the complete localized Flare project so your team can rebuild and maintain it independently going forward.
MadCap Flare uses several file formats that are relevant to the translation and localization process. Understanding these formats helps project managers plan their workflows and set appropriate expectations for turnaround and cost.
The primary content files are XHTML-based topic files with the .htm extension. These contain the actual documentation content along with MadCap-specific XML attributes for conditions, cross-references, and styling. Snippet files (.flsnp) contain reusable content blocks that may appear across multiple topics — translating these once ensures consistency throughout the project.
When using MadCap Lingo (Flare's companion translation management tool), the standard exchange format is XLIFF (.xlf). Lingo exports translatable strings into XLIFF packages that can be processed by any modern CAT tool including SDL Trados Studio, memoQ, and Memsource. This is generally the cleanest workflow for translation agencies, as XLIFF is an industry-standard format that preserves segmentation and inline formatting.
Flare projects also include several supporting files that may contain translatable content: table of contents files (.fltoc), browse sequence files (.flbrs), variable definition files, and skin files that define the UI strings for HTML5 output (such as search labels, button text, and navigation elements). These are often overlooked during scoping, which can lead to partially translated outputs.
At Opticentre, we inventory all translatable file types during preflight and provide a comprehensive word count that covers topics, snippets, TOC entries, variables, and skin strings. This prevents surprises during production and ensures complete localization of the end-user experience across all output formats.
Conditional tags and snippets are two of Flare's most powerful features — and two of the areas most likely to cause problems during localization if not handled carefully. Conditional tags allow authors to include or exclude content based on audience, platform, output format, or any custom dimension. Snippets enable content reuse across multiple topics. Both require specific handling during translation and DTP.
For conditional tags, our first step is to obtain your condition tag set definitions and understand which build expressions you use for each target. This is critical because some conditioned content may never appear in certain outputs, meaning it either does not need translation (saving cost) or needs to be translated but will only be visible in specific builds. We map every condition tag to its build targets and translate content accordingly, ensuring no visible content is missed and no hidden-only content is unnecessarily translated.
During the DTP phase, we verify conditional rendering by compiling the project with each relevant build expression. We check that conditioned text blocks expand and collapse correctly, that conditioned rows in tables display as expected, and that no orphaned content appears where conditions have been applied to inline elements within paragraphs.
For snippets, we ensure translation consistency by processing all snippet files first and creating approved translations before moving to the topic files that reference them. This guarantees that the same terminology and phrasing appears everywhere a snippet is used. Our Flare operators also verify that snippet insertion points accommodate text expansion without breaking page layout, particularly in print outputs where column widths and page dimensions are fixed.
We document all condition and snippet handling decisions in our project report, so your team has full visibility into how these elements were managed across each target language.
Yes, we work with all standard MadCap Flare output formats and verify localized content against each target you specify. The three most common outputs we handle are HTML5 (responsive web-based help), PDF (print-ready documentation), and Microsoft Word (for review or downstream editing). Each format has distinct localization considerations that we address during the DTP and QA phases.
For HTML5 output, we verify responsive layout behavior across common viewport sizes, ensuring that translated content reflows correctly in desktop and mobile views. We check that the search index includes all localized content, navigation elements (top nav, side nav, breadcrumbs) display properly in the target language, and any custom skin strings (button labels, placeholder text) have been translated. Right-to-left languages such as Arabic and Hebrew receive additional layout verification for mirroring and text direction.
For PDF output, the primary concerns are text expansion and font handling. Many European languages run significantly longer than English, and Asian languages may require completely different typefaces. We adjust master pages, frame sizes, and running headers/footers to accommodate the translated text. We verify page breaks, table widths, image-text relationships, and cross-reference formatting throughout the document. Hyphenation rules are applied per the target language conventions.
For Word output, we ensure that the exported document maintains proper styling, heading hierarchy, and table of contents generation. Word output is frequently used by clients who need to circulate documentation for internal review before final publication, so clean formatting is especially important.
Before delivery, we compile each requested output from the localized Flare project and run a side-by-side comparison with the source-language version. Any rendering discrepancies are corrected in the project files (not patched in the output), ensuring that your team can rebuild the outputs at any time with consistent results.
English
Bulgarian