Lingo.dev
AI localization platform for software teams - automate i18n translation of JSON, YAML, and code string files with CI/CD pipeline integration.
Lingo.dev is a developer-first AI localization tool that automates the translation of software string files (JSON, YAML, PO, XLIFF, iOS Strings, Android XML) by scanning the codebase and translating all untranslated keys using GPT-4-class models. The platform integrates directly into CI/CD pipelines via a GitHub Action and CLI, ensuring that every code deployment includes fresh translations without manual intervention. A translation memory prevents repeated translation of identical strings, keeping costs predictable and output consistent across the entire product. It supports 50+ language pairs and is designed for engineering teams that want to ship multilingual products without building or maintaining a localization workflow internally.
Key Features
- File-based i18n translation - scans JSON, YAML, PO, XLIFF, iOS Strings, and Android XML automatically
- CI/CD pipeline integration - GitHub Action and CLI keep translations in sync with every code deployment
- Context-aware AI translation - understands UI copy context to avoid literal translations that break UX
- Translation memory - reuses approved translations across the codebase to ensure consistency and reduce cost
- Developer CLI workflow - pull and push translated files via terminal without leaving the development environment
- 50+ language pairs with GPT-4-class models for software localization accuracy
Use Cases
- Product teams shipping multilingual software who want to automate i18n without a manual translation agency
- Startups launching in a new market needing to translate their entire UI quickly without a localization team
- DevOps engineers integrating automated translation into CI/CD so every release ships with current translations
- Open-source maintainers managing community translations and maintaining string consistency via automated tooling
Pros
- CI/CD integration keeps translations in sync with code changes - no stale strings slipping into production
- File-native approach works with any framework without SDK installation - drop-in for existing i18n setups
- Developer CLI means engineers handle localization without context-switching to a separate translation dashboard
Cons
- AI translation quality requires human review for marketing copy, legal disclaimers, and culturally nuanced text
- No built-in collaboration tools for professional translators - better suited for tech teams than agencies
- Translation volume pricing means large codebases with frequent releases can exceed the free tier quickly
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