i18n-localization

To detect hard-coded strings in React and Vue, you can audit codebases to identify user-facing text that bypasses i18n localization. This process checks components against locale files to ensure all strings are properly internationalized and reports any translation gaps.

Verifying locale file consistency involves comparing key sets across different language files to ensure synchronization. Auditing translation management patterns helps detect missing keys, validate locale files, and report gaps so that every language maintains complete translation coverage.

Yes, the i18n audit works with Python codebases alongside React and Vue. It detects hard-coded strings in Python projects by validating gettext usage patterns and locale files, ensuring all user-visible text is properly internationalized and translation gaps are reported.

Checking RTL readiness involves auditing layout and formatting patterns to support right-to-left languages like Arabic and Hebrew. The process provides guidance on preparing your codebase for RTL localization by validating that user-facing components can handle bidirectional text correctly.

Yes, you need existing locale files and i18n usage patterns to audit translations and report gaps. The code audit requires these prerequisites to compare against hard-coded strings, validate key consistency across languages, and accurately detect missing internationalization coverage.