How Did Project Migration to MadCap Flare Cut Translation Time by 90%?

A global manufacturer reduced localization costs by 68% over four years after restructuring its documentation. ^[i]

What changed? The documentation architecture.

Translation costs are often driven by the source format itself. Large Word or FrameMaker files introduce duplicated content, embedded formatting, and structural inconsistencies that inflate billable word counts and weaken translation memory efficiency.

Copying sections across manuals may save time in the moment. However, in multilingual environments, every duplicated paragraph is translated again — across products, releases, and regions, driving hidden costs.

At scale, document-based authoring turns redundancy into recurring spend that your CFO will notice. 

That’s where migration to a CMS like MadCap Flare becomes more than a tooling decision. By shifting from file-based production to reusable, topic-based authoring, teams gain tighter control over translation volume, layout effort, and publishing workflows.

In this blog post, we explore how a large-scale migration to MadCap Flare reduces translation waste, simplifies multilingual production, and creates a cost-efficient documentation framework.

TL;DR

• Monolithic documents increase duplicate translation effort
• Topic-based authoring reduces repeated content translation
• Structured XML improves Translation Memory efficiency
• Automated styling lowers per-language DTP costs
• Centralized reviews reduce rework and corrections
• Project migration to MadCap Flare enables simultaneous multilingual publishing

How Flare Migration Reduces Translation Costs

Instead of treating each benefit as isolated, it’s important to understand the sequence:

1. Reduce Translation Volume Through Controlled Reuse

Translation costs often spiral in legacy documentation environments for a simple reason: you translate the same thing over and over. When warnings, regulatory statements, or procedures are copied across manuals, every instance becomes billable content in every language.

In Word or FrameMaker workflows, manuals typically exist as standalone files. When they enter localization, every repeated paragraph is counted again. Translation Memory helps, but only to a point. Its effectiveness depends on structure. Minor variations, inconsistent formatting, or small edits can cause repeated content to be treated as new.

Topic-based authoring changes this dynamic. A migration to MadCap Flare restructures documentation into modular, reusable topics stored in a central repository.

Instead of copying content, teams reference it. This means:

• Shared content is translated once and reused across outputs
• Updates are localized once and reflected everywhere
• Version control is centralized, reducing outdated or duplicate language variants

Over time, fewer new words enter your localization pipeline. Translation volume decreases at the source, and that is where cost control begins. One global analytics firm experienced this firsthand. After restructuring its documentation, translation turnaround time fell by 92%, dropping from several weeks to two days or less. ^[ii] 

2. Eliminate Recurring Layout and DTP Costs

Translation cost is only one side of the equation. Layout is the second hidden expense.

In Word or FrameMaker workflows, formatting lives inside the document itself. When translated text expands—as it often does, layouts shift. Tables resize, headers wrap, and page breaks move.

A migration to MadCap Flare separates content from formatting. Styles are defined once and applied automatically across languages and versions, reducing repetitive layout work.

Layout behavior becomes rule-driven instead of manually adjusted for every translated file. The result:

• Fewer per-language formatting fixes
• Less back-and-forth between documentation and localization teams
• Lower recurring DTP effort across releases

Controlling translation volume is the first lever. Controlling layout overhead is the second. Together, they move documentation from reactive production to structured cost management.

3. Improve Translation Match Rates Through Structured XML

Reducing duplication and layout costs addresses two major drivers of translation. The third is how much you pay per segment.

Most translation vendors use Translation Memory (TM) systems that compare new content against previously translated material. Exact matches are billed at lower rates. In theory, this prevents you from paying twice for the same sentence.

Legacy Word or FrameMaker environments weaken that protection. Embedded formatting, structural inconsistencies, and small edits in copied content often cause repeated sentences to be treated as new.

A migration to MadCap Flare addresses this at the source. Flare’s structured, XML-based authoring keeps content consistent and predictable. Formatting stays separate from text. Reusable topics maintain stable structures, and controlled reuse limits variation across documents.

The result: higher exact-match recognition and fewer segments billed as “new.”

4. Reduce Review Rework Through Centralized Workflows

In traditional workflows, SMEs review translated Word or PDF files after localization is complete. Feedback arrives through email threads, tracked changes, or separate markup files. Corrections then go back to translators, often adding cost and extending timelines.

Late-stage changes are expensive because they re-enter the localization pipeline after translation and formatting are already finished.

With centralized workflows through MadCap Central:

• Reviews happen at the source level
• Comments are managed in one environment
• Changes are applied once, before multilingual publishing

This gives three measurable benefits:

• Fewer last-minute translation revisions
• Reduced back-and-forth with language vendors
• Shorter approval cycles before release

When issues are resolved at the source, they do not multiply across every target language. Stability lowers cost.

5. Accelerate Time-to-Market and Protect Revenue Timing

Cost reduction improves margins. Speed improves revenue.

In legacy documentation environments, multilingual releases often follow a sequential path. The source language is finalized first. Files then move to translation, separate formatting, independent reviews, and staggered approvals. This creates:

• Staggered launches
• Regional documentation gaps
• Misaligned global releases

A project migration to MadCap Flare enables a different model. Modular, centrally managed content allows teams to prepare language versions in parallel. Once translation is approved, publishing runs automatically through predefined templates and styles.

There is 

• No manual reformatting per language. 
• No rebuilding of separate files. 
• No last-minute layout bottlenecks.

This creates measurable impact:

• Global product launches stay aligned
• Regional markets receive documentation at the same time
• Sales and support teams avoid gaps in localized materials
• Release schedules become predictable rather than reactive

In competitive markets, time-to-market directly affects revenue timing. And revenue timing directly affects ROI.

Real-Life Results of Flare Migration

1. Cognex

Cognex ^[iii] modernized its global documentation infrastructure to support high product velocity and multilingual distribution. It moved from fragmented FrameMaker and Word workflows to a single-source architecture in MadCap Flare, integrating MadCap Lingo to manage localization in-house and regain control of translation memory.

The new framework enabled reusable content and automated command-line builds integrated into CI workflows.

The results were measurable: 

• 68% reduction in localization costs over four years 
• More than a 50% faster documentation development
• Reduced cycles from months to 2-4 weeks 
• Multilingual documentation aligned with global product launches

2. Hewlett Packard Enterprise (HPE)

HPE ^[iv] standardized on MadCap Flare to replace siloed legacy authoring systems that limited reuse and slowed publishing across its enterprise IT portfolio. The team implemented topic-based authoring with conditions, variables, and centralized styling to create a modular, single-source documentation architecture.

This shift improved content reuse across product lines and versions while reducing duplication and maintenance effort. Responsive HTML5 outputs removed the need for separate desktop and mobile builds, improving consistency and searchability. Documentation updates became more streamlined and better aligned with enterprise release cycles.

3. Tricentis

Tricentis ^[v] operated in agile and DevOps-driven environments. It needed documentation that could scale with expanding product suites. The company adopted MadCap Flare as a centralized help-authoring platform and implemented single-source framework content using conditions, variables, and snippets.

This enabled synchronized updates across responsive HTML5 documentation integrated directly into product interfaces. This reduced manual rework, improved cross-product consistency, and supported growth across multiple product lines and regions without significantly increasing documentation overhead.

Make Your Documentation Work as Hard as Your Products

Is your documentation keeping pace with your products — or slowing them down? Today, content needs to do more than just exist; it must adapt, scale, and guide users. By optimizing structure, enabling reuse, and integrating smart search, you can transform documentation into a dynamic, high-impact resource that drives efficiency and engagement.

At Grazitti, we help organizations design Flare environments built for long-term cost control, multilingual efficiency, and release alignment, including advanced search integration for smarter documentation experiences.

Your Documentation Can Do More Than You Think. Let’s Talk!

Frequently Asked Questions

Q. Will migrating legacy content to MadCap Flare require rewriting all our existing documentation?

A. No. MadaCap Flare provides import tools and structured formats that let you bring in legacy content (Word, FrameMaker, HTML, etc.) as a starting point. Cleanup and optimization improve structure and efficiency without rewriting everything from scratch.

Q. Does migrating to Flare improve time-to-market for global launches?

A. Yes. Modular content, automated publishing, and parallel multilingual workflows enable all language versions to be released simultaneously, keeping global product launches aligned and accelerating revenue recognition.

Q. Can Flare handle complex, multilingual documentation at scale?

A. Yes. Its topic-based architecture supports hundreds of outputs across multiple languages, with reusable content, variables, and conditions—making it easy to scale documentation as products and regions grow.

Q. Is the migration process disruptive to ongoing documentation operations?

A. No. Migration is phased and leverages existing content. Teams continue to operate while legacy files are imported, cleaned, and optimized, minimizing disruption and ensuring continuous delivery.

Statistics References:

^[i] MadCap Software

^[ii] MadCap Software

^[iii] MadCap Software

^[iv] MadCap Software

^[v] MadCap Software