Localization that moves with your code.
LingoSync uses AI to translate and localize software, websites, documents and marketing content across 80+ languages, adapting tone, cultural references and formatting for each market.
A translation layer inside your delivery workflow.
LingoSync connects to your repository or CMS, detects content that needs translating and translates it with your product context, glossary and translation memory.
Automated QA checks flag problems, reviewers check what matters in a visual editor, and approved translations arrive as a pull request or via API.
Most localization still happens outside the product workflow.
Slow handoffs
Strings travel by spreadsheet and email, so localized versions ship weeks after English.
Missing context
Translators see isolated strings without the UI, which leads to truncation and wrong meanings.
Inconsistent terms
Without a shared memory and glossary, the same feature gets three different names.
- 01
Connect
Link GitHub, GitLab or Bitbucket, or a CMS like Contentful or WordPress.
- 02
Translate
Strings are translated in context with your glossary and memory.
- 03
Review
QA flags and visual previews focus human review.
- 04
Ship
Approved translations arrive as a PR or via API.
SaaS product teams
Localized releases on the same cadence as English.
E-commerce brands
Catalogs, checkout flows and campaigns adapted for each market.
Localization managers
Glossaries, translators and quality tracking in one place.
Content & marketing teams
Blog posts, landing pages, emails and help articles in brand voice.
Context first
A string is only translated well when you know where it appears and what it does.
Humans review what matters
AI handles volume; people review flagged and high-stakes content such as legal or brand-critical copy.
Never translate the same thing twice
Approved translations become memory, so terms stay consistent across every surface.
Your content stays yours
Content is encrypted, never used to train models for other customers, and can be exported at any time.