Intlayer

Intlayer is an open‑source, component‑centric internationalization toolkit that brings AI‑powered translation and a built‑in content management system to modern web and mobile projects. It solves the common pain points of traditional i18n libraries—rigidity, heavy configuration, and a lack of automated translation workflows—by offering a lightweight API that works seamlessly with any framework while keeping the developer experience smooth and type‑safe.

At its core, Intlayer stores locale data in per‑component JSON files that can be edited through a visual editor or directly in code. These files are automatically tree‑shakable, so only the translations used by the current component bundle are shipped to production. The integration with TypeScript provides autocompletion and compile‑time checks, reducing runtime errors that plague many i18n solutions. Developers can also hook into the CI/CD pipeline to validate missing keys or trigger automatic translation jobs, ensuring that every build is fully internationalized.

The AI layer is what sets Intlayer apart. When a new locale file is created or a missing translation is detected, the server can call out to an LLM (such as Claude) to generate a draft translation. The assistant can then be prompted to refine the output, correct context, or adjust tone—effectively turning the translation process into a collaborative dialogue. This feature dramatically cuts down on manual effort and accelerates localization cycles, especially for large or rapidly evolving codebases.

Intlayer’s CMS allows non‑technical stakeholders to manage content directly from the browser. Through a simple editor interface, translators and product managers can review and edit strings in real time, see live previews of the UI, and publish changes without touching the code repository. This workflow is ideal for SaaS platforms, e‑commerce sites, and mobile apps that need to support multiple markets while keeping the release cadence fast.

In practice, teams use Intlayer to:

• Speed up new‑feature releases by automatically generating and validating translations on the fly.
• Maintain consistency across components with a single source of truth per locale and contextual prompts for the AI.
• Empower non‑developers to edit text in a visual editor, reducing back‑and‑forth with engineering.
• Integrate into CI/CD to enforce translation coverage and quality before every deployment.

For developers building AI‑enhanced applications, Intlayer offers a ready‑made bridge between the UI and language models. By exposing translation prompts as part of the runtime context, an AI assistant can query or update localized strings on demand, making it possible to build conversational interfaces that respect user locale without manual configuration. This synergy between AI tooling and a robust i18n framework gives teams a powerful, future‑proof foundation for global products.