A DITA migration is a project, not a one-off file conversion — and DocentraX runs it as one. We take your legacy documentation through analysis, a reviewed pilot, iterative full-scale conversion and validation against your own schema, then deliver content that drops into your CCMS with no rework. Every migration is built on the same disciplined method, so cost stays controlled, risk stays visible, and not a single sentence is lost on the way in.
Anyone can run a converter over a folder and get XML out. A migration is different: it is the disciplined move of an entire content estate from a legacy tool into clean, production-ready DITA inside your CCMS, with the structure, reuse, conditions and metadata your team actually depends on. Treated casually it produces "valid DITA" that then costs weeks of hand-fixing. Treated as a project it produces content your writers can author against on day one.
DocentraX approaches every DITA migration as an engineered project with a review loop, not a single irreversible run. That distinction is what protects your budget, your timeline and — above all — your content. The mechanics of each individual conversion are covered on our DITA conversion hub; this page is about running the whole thing as a controlled project.
Common starting points include MadCap Flare, Word, FrameMaker, PDF and HTML — each handled by a converter built for how that tool actually structures content — but the project method is the same whatever you are migrating from. If you are building the plan on your side first, the DITA migration checklist walks the same sequence step by step.
Migration budgets are wrecked in two ways: by the per-page labour of manual conversion, and by an unbounded, unpredictable AI bill. DocentraX avoids both. The heart of every conversion is mechanical and repeatable — the same content in gives you the same DITA out, every time — so refining the mapping and running the whole estate again is a re-run, not a second project, and not a fresh per-page charge. AI is used only where it is genuinely the right tool: reconstructing words a scanner mangled in a PDF, or settling ambiguous terminology in Knowledge Fabric. Where it is used, you choose whether it is switched on at all, it sees only the fragments that actually need it in the standard configuration, and a judgement already made is cached so it is never paid for twice. What actually moves the number is set out in our guide to DITA conversion cost, and the full case for this hybrid approach in AI + deterministic conversion.
Mechanical where it can be, AI only where it earns its place, and never paying twice for the same decision. A second pass is a re-run, not a second project.
The two great risks of a migration are silent content loss and content that will not load into the target system. DocentraX answers both directly. Nothing is silently dropped at any stage — the rare construct a target grammar cannot carry is surfaced in the run log for review, never quietly deleted: structure may degrade gracefully where it genuinely cannot be determined — an unplaceable heading filed under a neighbouring topic and flagged for review — but text is never discarded to make a conversion look tidy. And the completeness check proves, across the whole repository rather than file by file, that every link resolves, every conref and keyref binds, every image exists and no map chain loops, all validated against your own DTD before anything ships.
The whole point of a migration tailored to you is that the output does not need a second project to make it usable. Here is how we answer the concerns migration teams raise most — and what acceptance on import really takes is covered in CCMS migration:
| Your concern | How we answer it |
|---|---|
| "Our authoring styles won't map cleanly" | Your styles become semantic DITA elements through a mapping agreed with you in the pilot |
| "We have complex conditional text" | Conditions become your own ditaval and profiling scheme, with the audiences they served intact |
| "We depend heavily on reuse" | Variables and reused fragments map onto your conref, keyref and keys strategy, not into flat text |
| "It has to pass our CCMS import" | Output is validated against your own schema and delivered in your folder and naming conventions |
| "We cannot afford to lose anything" | Nothing is dropped, and completeness is audited stage by stage rather than asserted |
A DocentraX migration hands back more than topics: clean, properly typed DITA in your layout; a map or bookmap and a key map; collected assets with every reference intact; a validation report proving completeness; and, optionally, a deduplicated reuse repository through Content Convergence and enriched metadata through Knowledge Fabric. From loose HTML and Word files to a governed CCMS, the migration is the bridge — and once you are across it, the same capability keeps publishing, reshaping and enriching your content for as long as you own it. See how we transform DITA into other formats to keep serving every audience from a single source.
DITA migration services move an entire body of legacy documentation from a source tool — such as Flare, FrameMaker or Word — into clean, production-ready DITA inside your CCMS. Unlike a one-off file conversion, a migration is run as a project: it establishes how your content maps to structured elements, converts at scale consistently, validates the result against your schema, and delivers content your writers can author against immediately.
DITA migration cost depends mainly on content volume and how much tailoring to your own model you need, but DocentraX is built to keep it predictable. The core of the work is mechanical and repeatable, so refining the mapping and running your estate again is a re-run rather than a fresh per-page charge, and AI is used only in the narrow places where it genuinely pays its way. That avoids both the per-page labour of manual migration and an open-ended AI bill.
Two ways. First, nothing is dropped: content is audited at every stage, so text is never silently lost — structure may degrade gracefully and be flagged for review, but the words are preserved. Second, the completeness check gates every output against your own schema before delivery, proving that links, conref, keyref, images and maps all resolve across the whole repository. A reviewed pilot up front also de-risks the mapping before the full run begins.
That is the whole point of a migration built around your platform. We map your authoring styles to semantic elements, turn conditions into your ditaval or profiling scheme, align reuse with your conref and keyref strategy, apply your metadata and your ID and folder conventions, and validate against your own DTD. The output is delivered in the exact structure your platform expects, so it drops in ready to author rather than needing a second cleanup project.
The schedule is driven by content volume and by the tailoring agreed in the pilot, not by manual per-page effort. Most of the elapsed time sits in analysis and pilot review, where the decisions are made; once the mapping is agreed, converting the full estate is a repeatable batch run, and refinements after that are re-runs rather than fresh rounds of hand work. That is why the pilot deserves your best reviewers.
Yes. DocentraX has dedicated converters for MadCap Flare, Adobe RoboHelp, FrameMaker (published help and structured), InDesign exports, Drupal, Sphinx, plain HTML, Word, PDF, Markdown and DocBook. Where the source carries real navigation — a Flare or RoboHelp project, a Sphinx site, a structured book — that navigation defines the reading order; where it does not, as with InDesign and Drupal exports or PDF, structure is rebuilt from headings and stored file order and reviewed rather than assumed. All of them feed the same project method, the same validation gate and the same delivery into your CCMS.
We'll convert them to DITA free of charge — through the real pipeline, not a demo — and review the output with you. Then we'll discuss pricing one-to-one.
Request your free sample conversion