AI Visual QA: Find Translation Issues That Only Appear in Your UI

Modern translation gets the words right. What it cannot tell you is whether those words work once they are rendered in your product, and that is where localization quality is won or lost.

A translation can be perfectly accurate and still be wrong in context: it reads awkwardly next to a label, the tone is off inside a button, or it is inconsistent with a term you used two screens earlier. The same string can also hit code-level trouble: it overflows its container, breaks an RTL layout, or never appears because it is missing from your resource file.

None of this shows up in a .po, .json, or strings.xml file. It shows up once the interface is rendered, sometimes in a slow QA pass, but more often when a client finds it for you.

AI Visual QA catches all of it, with almost no effort from you.

How AI Visual QA Reviews Your Translated UI

AI Visual QA reviews screenshots of your translated interface, not just the strings, and sorts what it finds into two kinds of issue:

For web apps, the PTC Visual QA browser extension does the work for you.

You walk through your app once and mark the screens you want reviewed, and it repeats that walkthrough for every language, so you never recapture the same screens ten times by hand. For any other type of app, you upload the screenshots yourself for now, though we are building the same automation for more platforms.

Either way, the result is the same. You no longer need a dedicated QA pass or a language-specific reviewer for every release.

---

What AI Visual QA Found When We Ran It on WPML

WPML is the most widely used multilingual plugin for WordPress, running on over 1.5 million sites. It is translated into 19 languages, including European languages such as Spanish and Polish, RTL languages such as Arabic and Hebrew, and non-Latin scripts such as Chinese, Japanese, and Korean.

For years, that meant a manual review after every translation cycle. Professional, top-of-the-line human translators worked through the interface screen by screen and language by language. The work took days, sometimes weeks. Even then, issues still slipped through. They always do.

We reviewed four plugins with AI Visual QA: WPML core, String Translation, Media Translation, and WPML for WooCommerce (WCML). The whole pass took a couple of hours. Here is a sample of what it caught.

On the WPML Languages page, a Spanish sentence was accurate but read awkwardly in context. AI Visual QA caught it once it saw the translation rendered and fixed the wording automatically.

We have PTC connected to our repository, so it keeps corrected translations in sync there. That sync is an optional setup, not a requirement.

For Arabic and Hebrew, AI Visual QA flagged layout errors that only appear right-to-left. These are among the hardest issues to catch by hand, because you have to know what a correct RTL layout looks like.

Each one came with its own fix prompt, which we pasted into an AI coding assistant that located the element and corrected the layout at the source.

On the Custom XML Configuration screen, the French word “Enregistrer” was clipped to “Enregistre”. The translation was correct, but the button was too narrow to hold it.

AI Visual QA flagged the issue and gave us a prompt that described exactly what to change and where. One click copied it, and an AI coding assistant widened the button at the source. The text was right all along. Only the layout had to change.

On the German Settings page, some strings were still in English. AI Visual QA flagged them, and because it checks the rendered UI against the strings PTC actually holds, it could tell these were not a translation gap. The strings were missing from the resource file entirely, which is why they were never translated.

It generated a prompt to add them at the source, and an AI coding assistant added the missing strings so they could be translated and displayed.