Change the language. Keep the logic.
Translate Captivate XML and XLIFF exports with human-level AI accuracy and 100% valid schema preservation. Your simulations still click, your quizzes still score, and your exported closed captions stay connected.
<source>
Click to proceed
</source>
<target>
Haz clic para continuar
</target>
Captivate links a tooltip to a screen object, a quiz answer to a score, and a variable to the next learner action. Feed the whole export into a general AI tool and those references become part of the prompt. A renamed ID, a rewritten XML branch or a swallowed inline tag is enough to make Captivate reject the import.
And an import error is the easy failure to spot. Broken branching can send learners to the wrong feedback screen or disconnect the logic your published SCORM course uses for grading. Now someone has to comb through XML instead of finishing the training.
<trans-unit id="tooltip_17">
<source>Click to proceed</source>
<target>Haz clic para continuar</target>
</trans-unit>Keep authoring in Captivate. Translate the exported text, then bring it back into the project you already built.
Export localizable text using the option supported by your Captivate build. Upload the XML or XLIFF file and keep an untouched copy of the source project. The published SCORM ZIP is not the file to translate.
.xml .xlf .xliffChoose the target language. AI reads the surrounding segments and translates the learner-facing text. Structural IDs, variables, inline tags and object references stay outside the language-generation step.
Context-aware AI / 100+ languagesDownload the schema-valid export and import it into the matching Captivate project. No tag reconstruction. Check text fit, preview the simulations and run the scored quiz before publishing to your LMS.
Valid source in / valid localized file outTo translate Captivate XML safely, you have to separate what learners read from what the course executes. Quiz wording changes. Answer identifiers, branching references and the structure behind scoring do not.
The file is parsed first, translatable text is isolated, and translated content is inserted back into the protected structure. Validation comes before download. The model never gets to improvise your XML.
Tooltip anchors, object references and interaction data remain protected. Replace the instruction a learner sees, not the screen object or click path it belongs to.
A learner name placeholder is not a phrase to translate. Inline tags and variable tokens keep their identity, so personalized instructions and quiz feedback still reference the right values.
Translate closed-caption text included in the export without dropping caption IDs or timing references. No missing caption segments from a valid source export.
Protected structural references, tags and placeholders are checked before the localized file is released. Invalid source XML needs correction first; the AI does not repair malformed markup by guessing.
“Submit” on a button isn’t the same as “submit a report” in a policy. A literal translation misses that distinction. So does a system that treats every tooltip, question and feedback message as an unrelated sentence.
Our AI analyzes cross-segment context across the Captivate export. It keeps corporate terminology, instructional tone and narrative flow consistent from the opening slide to the last assessment response. You get human-level linguistic accuracy that rivals professional translation agencies, without sending the whole project back to an agency each time one instruction changes.
We protect the file. You check the course in context. Keep these four checks in your Adobe Captivate localization workflow.
Use the same source project and a compatible Captivate build. Keep the original export available; don’t mix text exports from different project revisions.
Check translated tooltips, click areas and keyboard interactions. Longer instructions still need to fit the text box attached to the original screen object.
Test correct and incorrect answers, feedback branches, attempts and pass thresholds. Read the translated questions as a learner, not just as an XML reviewer.
Check completion status, score reporting and resume behavior in a staging SCORM course. Review exported captions alongside the audio before release.
Try Captivate course translation before choosing a plan. Paid plans include advanced AI translation, protected file structure and 100+ languages.
For a pilot course and smaller updates.
For recurring courses and release cycles.
For teams shipping multiple courses.
For a year of course localization.
Adobe Captivate localization involves more than readable strings. Here’s what stays protected, what gets translated, and what your team checks before publishing.
Send your Captivate version, the file extension and the import error if you have one. Keep confidential course content out of the first email.
Ask about your fileYes. Upload a valid .xml, .xlf or .xliff export. The tool translates learner-facing text and returns the same supported file format with its structural references protected. Export options differ between Captivate versions. Upload the translation export, not the authoring project or a published SCORM ZIP.
The XML element tree, required namespaces, structural attributes, object and answer IDs, inline tags and placeholders stay protected. XLIFF translations go into target segments without deleting the source text. Validation checks the localized file before download. An invalid source file must be fixed first.
The translator leaves grading references, answer identifiers and branching data untouched. SCORM reporting is handled by Captivate's published course and your LMS, not by the translation file. After import, run both correct and incorrect answer paths and check score and completion reporting in a staging LMS.
Yes. Object references, tooltip positioning data present in the export, and variables are protected while the visible text changes. The tooltip keeps its anchor. Preview the localized simulation to check text fit, fonts and every click path.
Closed-caption text included in the XML or XLIFF export is translated while its IDs and timing references stay intact. Audio tracks, image text and captions stored outside that export are not translated by this file workflow. Handle those assets separately and check synchronization in Captivate.
The model reads context across segments instead of treating every tooltip, question and feedback line as an unrelated sentence. It keeps corporate terminology, instructional tone and narrative flow consistent across the export. The output delivers human-level linguistic accuracy that rivals professional agencies. Have a qualified reviewer approve regulated, legal or safety-critical wording before release.
A whole-file prompt gives the model control over markup as well as language. Missing tags, rewritten IDs and changed placeholders break Captivate imports or disconnect course interactions. This e-learning translation tool separates protected XML from translatable text, then validates the rebuilt file.
Yes. Schema validity protects the file, not the visual fit of every language. Check longer labels, right-to-left layouts, font coverage, caption timing and quiz outcomes. Then publish and test the SCORM package in your LMS.
Yes. Use the free trial to translate an export, test the import and review the language before choosing a plan. Trial character limits apply. Paid plans start at $9 per month and support 100+ languages.
Confirm that the file belongs to the exact source project, uses the export format supported by your Captivate version, and has not been edited in a word processor. Retry with an untouched source export. If the import still fails, contact support with your Captivate version, file format and the error message.
Pick a course with a scored question, a simulation tooltip and closed captions. Translate Captivate XLIFF or XML, import it, and see what stays exactly where you put it.