ELEARNING LOCALIZATION SERVICES

eLearning Localization Services

Localize courses, video, and assessments using adaptive AI, expert human verification, and course engineering that returns a working, publishable module. Not a folder of translated strings, and not a rebuild handed back to your instructional designers.

Proven at enterprise scale

Forrester Wave Leader

Named a Leader in The Forrester Wave: Translation Management Systems, Q3 2025, with the highest score possible in 13 criteria, including workflow automation and AI agents.

Lobster Ink: output more than doubled

The Ecolab division that trains staff at Marriott, Four Seasons, and Whole Foods more than doubled its localization output with LILT.

Pecege: hours to minutes

The Brazilian undergraduate and MBA provider now turns around repetitive course content in minutes rather than hours, across every language its teams support.

TRUSTED BY THE MOST INNOVATIVE ENTERPRISES, GOVERNMENT, AND AI/ML BUILDERS

NVIDIA
canva
intel
lenovo
asics
us-air-force
US Department of War

WHO IT'S FOR

Built for every team that touches training content

L&D and enablement teams

Get a finished course back, not a translation file. LILT handles extraction, translation, multimedia, rebuild, and functional testing, so your instructional designers are not the last step in someone else’s workflow.

Localization managers

One governed platform for the whole course catalog: translation memory, glossary enforcement, QA automation, and real-time reporting on cost, quality, and coverage. Your reviewers stop re-correcting the same terminology in module after module.

Instructional design and courseware teams

Send the authoring source and the published package. LILT analyzes extraction, filtering, placeholders, and embedded assets before production starts, so surprises surface in a file analysis rather than in a broken localized build.

Compliance, safety, and certification programs

Risk-based workflows with qualified reviewers, SME approval, and a zero-critical-error policy for content where a wording change can invalidate an assessment. Private, on-premises, and air-gapped deployment available.

Video and multimedia training teams

Localize course video without rebuilding it by hand. LILT synchronizes subtitles and re-recorded or AI voiceover, replaces embedded on-screen graphics, and re-times media so the localized module plays cleanly in every market.

Partner and supplier training programs

Train a large external network of suppliers, resellers, and small businesses in the languages they actually work in. LILT delivers certificate-ready learning paths with market-level adaptation, including dubbed audio and mobile-friendly formats for lower-literacy learners, and republishes one SCORM course across markets without a manual rebuild. Risk-based workflows and SME approval keep certification content defensible.

Send the source, not just the published course

Published SCORM is a delivery format. It can be localized, but it is harder to edit and more expensive to maintain than the authoring source it came from. The most efficient workflow starts with both: your Storyline .story file or Rise export, plus the published package as a functional reference. LILT runs a representative-file analysis first, identifying text embedded in images, animations, quizzes, and custom HTML, then configures extraction and filtering rules before any translation begins.

See supported formats and extensions →

Connect your CMS

Content routes to the workflow its risk deserves

Not every module needs the same treatment. High-volume internal training runs through adaptive AI translation with sampling. Customer-facing and high-visibility courses get full human verification. Safety, clinical, compliance, and certification content routes to qualified translation with independent review and SME approval. Certification questions are never published from an unreviewed machine pass, because a small wording difference can make an item ambiguous or invalidate the assessment.

How expert verification works →

Content routes to the right workflow

Quality compounds across the catalog

Every correction a reviewer makes retrains the model on your terminology, your instructional voice, and your content. A term fixed in module one does not come back in module forty. Separate models and domains can be maintained for product training, compliance, clinical education, and onboarding, so language that is correct in one context is not forced onto another. Over a multi-year catalog this is the largest single driver of cost per course. Intel reduced translation cost 40% year over year with LILT, with translators working 3 to 5 times faster.

How adaptive models learn →

Quality compounds over time

You get a working course, not a translated file

Localized text is reintegrated, on-screen graphics are replaced, subtitles and voiceover are synchronized, quizzes and navigation are updated, and the course is rebuilt and republished as a SCORM or xAPI package. Then it is tested: text expansion and truncation, button and quiz logic, media links, audio sync, accessibility behavior, and completion tracking in your LMS. Translation and course engineering are quoted as separate components, because the effort varies substantially by course.

Read the eLearning localization QA checklist →

Translations publish back automatically

What file formats and platforms does LILT support for eLearning?

LILT supports the authoring formats, exchange formats, and delivery standards used across enterprise course production.

Tool or type

Extensions

Notes

Articulate Storyline

.story

Authoring source preferred

Articulate Rise

.xml, .zip

XLIFF export supported

Adobe Captivate

.cptx, .zip

Lectora

.xle, .xlf

SCORM packages

.zip

SCORM 1.2 and 2004

xAPI and AICC

Delivery standards

XLIFF

.xlf, .xliff

Exchange format

Subtitles and captions

.srt, .vtt, .sub

Audio

.wav, .mp3

AI and human voiceover

HTML5

.html, .xml

Documents and slides

.docx, .pptx, .pdf

Structured data

.json, .xml, .csv

Which LMS and learning platforms does LILT work with?

LILT localizes training content into 200+ languages and delivers SCORM 1.2, SCORM 2004, xAPI, and AICC packages that publish into enterprise LMS platforms including Docebo, D2L Brightspace, LearnDash, Thought Industries, and custom systems. Automated workflows run through the LILT API, webhooks, and 100+ native integrations across your content and repository systems. Integration feasibility is confirmed against your specific platform, version, and deployment before a program starts. LILT maps five things first: where the editable source lives, which export format is available, who publishes the localized course, whether the platform exposes suitable APIs, and which metadata and permissions must be preserved.

See all connectors →

What changes when you localize eLearning on LILT

The same course catalog, without the manual handoffs or the rebuild landing back on your team.

LILT logo

Source handling

Published SCORM only, embedded text discovered late
Authoring source plus published package, analyzed before production

Scope of delivery

Translated files returned, rebuild is your problem
Extraction, translation, multimedia, rebuild, and republish

AI quality

Fixed engine repeats the same errors every module
Adaptive model improves with every reviewer correction

Human review

Post-editing applied uniformly, or skipped
Routed by content risk, from sampling to SME approval

Reviewer effort

Your in-country reviewers re-correct the same terms
Corrections train the model and stop recurring

Quality assurance

Bilingual file review only
Linguistic review plus in-context functional QA

Multimedia

Quoted as an afterthought, or excluded
Subtitles, voiceover, and on-screen text scoped upfront

Pricing

One per-word rate that hides engineering effort
Components quoted separately: translation, review, engineering, multimedia, QA

Regulated content

Cloud-only, shared models
Private, on-premises, and air-gapped deployment

Lobster Ink cut the gap between English and every other language

The result: Lobster Ink more than doubled its localization output with LILT.

Lobster Ink, a division of Ecolab, builds online training for hospitality and food retail brands including Marriott, Four Seasons, and Whole Foods. Like most localization teams, they sat at the end of the content process, translating in large batches after English was finished. With their previous vendor, localized content came back in weeks or months, so every course launched in English first and in other languages later. Adaptive models and a connected workflow removed the batching, which is what moved output rather than adding linguist hours.

With our previous vendor, it could take anywhere from a few weeks to a few months before we’d get the localized content back. Speed is really important to us, but there was always a gap between launching content in English and in other languages.

Curtis Deysel

Translation Program Manager, Lobster Ink

Lobster Ink

Pecege ended the tool sprawl across its language teams

The result: repetitive course content that took hours now takes minutes, on one platform across every language.

Pecege delivers undergraduate and MBA programs from Sao Paulo, and localization sits inside its growth strategy rather than beside it. Course content, exams, administrative documents, and course descriptions all need to move. The problem was not capacity, it was fragmentation: each language team worked in a different tool, so timelines and quality diverged by language. Consolidating onto one platform removed the divergence and gave the team turnaround and speed metrics it had never been able to track.

The team working on localizing courses into Spanish was using one tool, while the team working on English was using a different tool, and so on. We were getting into trouble because the timelines and quality delivered was so different depending on the language, which was constantly causing problems.

Luiza Paes

Translation Team Lead, Pecege

Pecege

What is eLearning localization?

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eLearning localization is the process of adapting digital training and educational content, including text, multimedia, graphics, and assessments, for different languages and cultures. It goes beyond translation: voiceover and subtitles are re-recorded, on-screen graphics and examples are adapted, formats and units are converted, and the course is repackaged in a standard such as SCORM or xAPI so it runs in the learner’s LMS.

What file formats does LILT support for eLearning localization?

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LILT supports Articulate Storyline (.story), Articulate Rise (.xml, .zip), Adobe Captivate (.cptx), Lectora (.xle, .xlf), SCORM packages (.zip), XLIFF (.xlf, .xliff), subtitle formats (.srt, .vtt, .sub), audio (.wav, .mp3), HTML5, and standard document formats. LILT recommends supplying both the editable authoring source and the published package so extraction and rebuild can be validated before production.

Which LMS platforms does LILT work with?

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LILT delivers SCORM 1.2, SCORM 2004, xAPI, and AICC packages that publish into enterprise LMS platforms including Docebo, D2L Brightspace, LearnDash, Thought Industries, and custom systems. Automation runs through the LILT API, webhooks, and 100+ native integrations across content and repository systems. Integration is confirmed against your specific platform, version, and deployment model before a program starts, rather than assumed.

Does LILT return a finished course or just translated text?

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LILT can deliver a complete localized course: extraction, translation and review, text reintegration, on-screen graphic replacement, subtitles and voiceover, course rebuild, SCORM or xAPI packaging, and functional testing. Translation and course engineering are quoted as separate components, because rebuild effort varies substantially by course while word count does not predict it.

Should compliance and certification training use AI translation?

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LILT matches workflow to content risk. Low-risk internal material runs on adaptive AI with sampling. General training adds human review. Customer-facing courses get full human verification. Safety, clinical, compliance, and certification content requires qualified translation, independent review, and customer or SME approval. LILT does not recommend publishing certification questions from an unreviewed machine pass.

How does LILT stop the same terminology errors from recurring?

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LILT combines translation memory, enforced glossaries and style rules, and customer-specific adaptive models that learn from approved reviewer edits. Separate models can be maintained for product training, compliance, clinical education, and onboarding. Because review happens inside the platform, corrections feed the memory and the model immediately instead of being lost in an exported file.

Can our in-country reviewers work inside LILT?

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Yes. Your reviewers join as a formal secondary review step: they receive assigned tasks, compare source and target, edit, comment, categorize errors, and give final market approval. Their accepted edits train the model. LILT recommends defining who reviews each language, notification timing, whether review runs sequentially or in parallel, and who resolves disagreements before the first project starts.

What languages does LILT support for eLearning localization?

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LILT localizes eLearning content into 200+ languages, with adaptive AI models that can be trained per language and per content domain. Courses can be localized into regional variants where the market requires it, such as Canadian versus European French. Language coverage, model type, and review level are set per program rather than applied uniformly across the catalog.

How do I start an eLearning localization project with LILT?

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Share your course inventory: course count, languages, authoring formats, LMS, and multimedia volume. LILT scopes a pilot on one representative course, ideally one with video, a quiz, an interaction, and an embedded graphic. Format validation and an LMS publishing test run before production, and pilot results are used to price the remaining catalog.

Localizing the learning experience, not just the words

Translation produces an accurate baseline. It does not redesign a course for how a market learns. Where instructional structure, scenarios, reading level, or local regulation need to change, LILT adds a transcreation brief, a local learning SME, and a market reviewer, and documents which elements may change and which stay globally consistent. For what eLearning localization covers and how the process works, see the full guide.

See what LILT can do for your course catalog

See how adaptive AI, expert verification, and course engineering return a working localized module, tested in your LMS.