Integrating Lara Translate with TranslationOS lets you unify your AI-powered translation workflows within one intelligent localization platform. Lara's custom AI models adapt to your brand's tone, glossaries, and translation memories, while TranslationOS manages the full process—from machine translation to human review. This integration enhances translation quality, automation, and visibility across your entire multilingual content pipeline.

With Lara Translate for TranslationOS, you can build custom AI translation models trained on your brand assets, translation memories, and style guides while streamlining content flow between systems to automatically send and retrieve translations. The integration enables quality automation through AI scoring and human review triggers for lower-quality segments, providing deep analytics and insights on quality, cost, and turnaround time within a single dashboard. Thanks to TranslationOS's flexible connectors, it integrates seamlessly with TMS, CMS, Git, and file systems, making it the ideal solution for enterprises looking to scale localization efficiently while maintaining complete control over translation quality.

To enable Lara Translate in TranslationOS, install the Lara connector from your TranslationOS integrations panel. Once connected, you can push content for AI translation, review results within the unified dashboard, and automate quality checks across projects. Full setup instructions, configuration options, and best practices are available in the official TranslationOS documentation for the Lara integration.