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Pseudo‑Localization Generator - Online Test UI for i18n

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Pseudo‑Localization Generator

Simulate i18n translations for UI testing — catch layout bugs before they reach production.

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Character Mapping Reference Light / Medium
AÄ aä EË eë
IÏ iï OÖ oö
UÜ uü CÇ (heavy) cç (heavy)
NÑ (heavy) nñ (heavy) SŠ (heavy) sš (heavy)
Frequently Asked Questions

Pseudo-localization is a software testing technique that simulates translation without actually translating text. It replaces characters with accented variants, adds delimiters, and expands text length to mimic how languages like German, French, or Arabic behave in your UI. This helps developers catch layout overflow, encoding issues, hardcoded strings, and font rendering problems before investing in real translation.

Many languages require 30–50% more space than English. A button labeled "Save" might become "Enregistrer" in French or "Speichern" in German — both significantly longer. Pseudo-localization simulates this expansion by appending padding characters and using wider Unicode glyphs, helping you identify containers that may break, truncate, or overflow at different screen sizes.

Light applies basic vowel accentuation (ä, ë, ï, ö, ü) with ~20% expansion — ideal for quick smoke tests. Medium uses full vowel replacement with ~35% expansion and more visible delimiters, simulating typical European language inflation. Heavy aggressively maps consonants (ç, ñ, š, đ) and expands up to ~55%, mimicking worst-case scenarios like complex UI strings in Scandinavian or Slavic languages.

RTL (Right-to-Left) simulation wraps your text with Unicode bidirectional control characters (U+202E RLO) to force right-to-left rendering. This is essential for testing Arabic, Hebrew, Persian, and Urdu locales. Enable this option if your application supports RTL languages to catch mirroring issues, icon alignment problems, and text direction inconsistencies in your UI components.

Yes! When you apply pseudo-localization, any text that remains in plain English (without accent marks or delimiters) is likely hardcoded and not passing through your i18n pipeline. The distinctive accented output makes untranslated strings immediately obvious during visual QA, which is one of the biggest advantages of this technique over manual testing.

No — pseudo-localization is a pre-translation testing technique. It catches layout, encoding, and i18n infrastructure issues early in the development cycle. Real translation testing with native speakers is still essential for linguistic accuracy, cultural appropriateness, and context-sensitive content validation. Think of pseudo-localization as your first line of defense in the i18n QA process.