Pre-translation stress testing

Break assumptions before translators find them.

A pseudo-locale transforms development strings in a controlled way so teams can detect externalization gaps, expansion pressure, Unicode problems, and direction assumptions before a real locale is ready.

This workbench compares screenshots; it does not generate or inject a pseudo-locale. Create the pseudo-localized build in your product’s localization pipeline, then capture it under controlled conditions.

What a useful pseudo-locale can test

  • Expansion: lengthen text predictably to stress buttons, tables, navigation, and compact cards.
  • Character coverage: add accented or non-ASCII characters to expose encoding, fallback, and clipping problems.
  • Boundaries: wrap strings in visible markers so concatenation and truncation are easier to spot.
  • Externalization: leave transformed text recognizable enough that unchanged hard-coded strings stand out.
  • Direction: use a separate pseudo-RTL mode where the product architecture supports it.

Preserve the parts that are not prose

A transformation pipeline should protect placeholders, message syntax, HTML or rich-text markers, URLs, identifiers, and code tokens. Plural and gender branches need valid test values. The exact rules belong in the product’s localization tooling, not in screenshot post-processing.

Never transform production customer content or use pseudo-localized strings as a substitute for real translation review.

Build a comparison matrix

CapturePrimary signalWhat it cannot prove
Source localeExpected structure and content fixtureWhether strings are externalized
Expanded pseudo-localeTruncation, wrapping, fixed heightsReal target-language phrasing
Accented pseudo-localeUnicode, font fallback, vertical clippingScript-specific shaping coverage
Pseudo-RTLDirection and mirroring assumptionsCorrect Arabic, Hebrew, Persian, or Urdu output
Real target localeActual visual behaviourSemantic correctness without a language reviewer

Interpret the result carefully

A pseudo-locale intentionally looks unusual. File findings about broken layout, missing externalization, corrupted placeholders, or unsupported characters—not about the aesthetic quality of synthetic words. Confirm every fix in at least one real locale.

How much should text expand?

There is no universal percentage. Short strings often need proportionally more room than paragraphs. Use a documented rule that reflects the product’s target-locale risk and test several container sizes.

Can reversing characters simulate RTL?

No. Character reversal does not model the Unicode bidirectional algorithm, shaping, direction isolation, or real reading order. Use a purpose-built pseudo-RTL pipeline and real-language testing.

Should screenshots be transformed after capture?

No. A screenshot filter cannot expose hard-coded strings or real layout reflow. Transform strings in the running product, then capture the rendered interface.