Stable segment IDs
<trans-unit> IDs stay attached to their original segments. Rise can match each translation to the right block instead of rejecting an unfamiliar identifier.
Articulate Rise 360 localization
Translate your Rise 360 .xlf export with context-aware AI. Get human-level language quality while keeping XML tags, IDs, and variables unchanged. Bring it back into Rise without a tag-repair session.
Your words change. Your course stays built.
An English Rise 360 flashcard exports an XLF file to Qopywriter.ai. A French target is added below the unchanged English source. The protected file returns to Rise and the flashcard flips to French without changing its dimensions.
Translation without the repair work
Rise 360 isn’t a wall of text. It’s buttons, flashcards, accordion headings and tiny pieces of feedback, each mapped to a particular block.
Ask regular ChatGPT to rewrite the raw XLF and those structural details become editable text. A changed <trans-unit> ID breaks the link to its block. A swallowed <b> or <i> tag strips formatting; invalid XML stops the import altogether. Now you’re debugging a file instead of shipping a course.
The XML isn’t up for negotiation. Qopywriter.ai separates translatable words from protected structure and validates the output. You get a file built for reimport, not a chat transcript to repair.
The source stays unchanged. Scanning appears only inside the editable words, translating Click Here to Cliquez ici in the target. Solid shields cover the opening and closing bold tags. Desktop and phone examples keep their dimensions and bold formatting.
<trans-unit> IDs stay attached to their original segments. Rise can match each translation to the right block instead of rejecting an unfamiliar identifier.
Bold, italics, inline codes and any placeholders in the export remain protected. No swallowed tags. No missing variables. Formatting stays paired with the translated words.
Your flashcards, accordions and buttons keep their structure. Longer translations still need a quick phone preview, but you’re reviewing text, not rebuilding layouts.
Language quality, beyond valid XML
“Report it” needs context. Is the learner reporting a safety incident, submitting an assessment or opening a dashboard? A literal translation of two isolated words misses the point.
Our model analyzes cross-segment context across the Rise 360 export. Lesson copy informs a flashcard; the flashcard informs a knowledge check. Corporate terminology stays consistent, instructions keep the same tone, and the narrative carries through to the last screen.
The quality rivals professional human translation agencies. Articulate Rise localization no longer needs an expensive agency round trip for every content revision.
For compliance, safety or legal training, keep a native-language subject-matter review before release. Spend that time checking the learning, not chasing XML errors.
Your existing authoring workflow
No block-by-block copy and paste. No rebuilding the course in another tool. Start with the file Rise already exports.
Duplicate the source course in Rise 360. Export the .xlf from that copy’s translation settings, then leave its blocks unchanged.
Upload the export to Qopywriter.ai and choose your target language. AI translates the text in context while XML, IDs and inline markup stay protected.
Download the translated .xlf. Import it into the unchanged Rise 360 copy that produced the export, so IDs still point to the right blocks.
Check desktop and phone previews, lesson instructions and knowledge checks. Review labels and media outside the XLF, then publish to your LMS.
Clear plans. No agency queue.
Start with a free trial on your own .xlf. Every paid plan includes context-aware AI, protected XML and support for 100+ languages.
For individual course updates.
For ongoing course localization.
For shared L&D production.
For a full year of course releases.
Before your first import
File formats, course copies, translation quality and the checks worth making before release.
Duplicate your course in Rise 360 and export the .xlf from that copy’s translation settings. Upload the file to Qopywriter.ai, choose a target language and translate. Download the translated XLF, import it into the same unchanged course copy, then review the course before publishing.
A general chat tool generates text; it does not enforce Rise’s XLIFF structure. It can change trans-unit IDs, drop inline tags or return only part of a long file. Qopywriter.ai separates protected structure from translatable content and returns an importable .xlf, not a block of generated XML to repair.
Yes. The model reads related segments across the course to carry terminology, instructional tone and meaning from one block to the next. That keeps short micro-copy connected to the lesson around it. For safety, compliance or legal training, add a native-language subject-matter review before release.
XML IDs, inline formatting tags and any placeholders in the export remain protected. Your responsive block structure stays in Rise; it is not rebuilt by AI. Translated text can be longer than the source, so check line breaks, button text and mobile previews before publishing.
Only text present in the export is translated. Review built-in player labels in Rise, along with text inside images, audio, video and embedded Storyline content. A published SCORM package is not a substitute for the editable course's XLF export.
Check that you are importing into the unchanged course copy that produced the export. If you edited or recreated blocks, export a fresh .xlf and translate again. Keep the file extension intact. If the error persists, contact support@qopywriter.ai with the message shown by Rise.
Yes. Start with a free trial and a limited character quota, with no credit card required. Test a course export, import the translation into Rise and review the result before choosing a plan. Paid plans start at $9 per month and support 100+ languages.
Start with one course
Export a copy, translate the XLF and check it in Rise. Put your next review session into the learning experience, not broken tags.