localize

To extract hard-coded strings for translation, scan your source code to identify non-localizable text and generate structured, translation-ready keys. This process outputs a diff-ready translation table to reduce manual toil.

The best way to validate existing translations across locales is to apply automated scanning that checks placeholder integrity and enforces key naming conventions. This verifies complete key coverage across project assets.

You can enforce key naming conventions during string extraction by applying validation rules to the generated translation table. This ensures that all newly extracted keys follow consistent naming standards.

Placeholder integrity validation fails when extracted translation keys contain mismatched or missing variables across different locales. Scanning your codebase validates these placeholders to prevent formatting errors.

Yes, you can generate a diff-ready translation table for a multilingual product release by scanning your codebase and extracting new strings. This outputs a structured table to verify translations before QA.

You can track localization progress and status across multiple projects by running automated status reporting on your codebase and assets. This generates an overview of translation coverage and validation states.