Localization engineering platform for consistent translation
Lingo.dev is a localization engineering platform where teams create localization engines: Stateful translation APIs configured with glossaries, brand voice rules, per-locale model chains, and AI quality scoring. Integrate via API, CLI, CI/CD, or MCP.
Async Localization API accepts one POST with content and target locales, returns 202 immediately, then processes each language independently through the localization engine. Results arrive via webhook or real-time WebSocket as each language completes. Application stays responsive; users see translations appearing in real time.
Lingo.dev moves localization inside the product as infrastructure rather than external vendor workflow. Engineers trigger translations via code, CLI, or CI/CD without manual coordination. Retrieval-augmented localization (RAL) re-translates only changed content with full product context injected, reducing terminology errors by 59% on regulatory prose versus baseline LLM translation.
Lingo.dev integrates directly into GitHub Actions, GitLab CI, and Bitbucket Pipelines. On each push, detects changed content via delta calculation, translates only modifications through the localization engine with glossary/brand voice applied, and commits results or opens PR. Incomplete translations never reach production.
Lingo.dev provides stateful localization engines that persist glossaries, brand voice rules, and per-locale model chains. Teams configure once, then call via API/CLI/CI/CD. Terminology locks across all locales automatically, preventing drift. Quality scores track per dimension over time, enabling localization to scale without adding translators.
Lingo.dev provides cross-model quality scoring using GEMBA-MQM dimensions (fluency, accuracy, terminology, style). Per-locale dashboards show trends and regression alerts. Glossary compliance and brand voice adherence are tracked automatically. Quality scores are reportable upward without requiring staff fluency in target languages.