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Is Lokalise QA enough, or do you need a dedicated LQA tool?
Lokalise QA covers string-level checks, not the product your users see. Its QA checks, glossary and AI scoring catch placeholder, formatting, spelling and terminology problems inside the translation workflow. Overflow, truncation, layout breaks and translations that are wrong in context only show up on the rendered site, and Lokalise’s QA doesn’t check the live site.
Updated October 2026
What does Lokalise QA check?
Lokalise’s QA checks compare each translation with its source for spelling, placeholders, HTML, numbers, brackets and spacing. A glossary keeps terminology consistent. AI scoring gives each string an MQM-based score. In-context editing shows translators where a string appears.
What doesn’t Lokalise QA catch?
Lokalise’s QA and AI scoring run on keys and translations in your project, not on your rendered website. So they can’t detect problems that only exist after rendering: text that overflows its button, truncation at a specific viewport, layout overlap, RTL mirroring errors, or a translation that is correct as a string but wrong for the element it labels.
In-context editing helps a person see these problems, but only on the screens that person opens. And strings that never entered Lokalise, such as hardcoded text or third-party widget copy, can’t be checked there at all.
File QA tools like Xbench check the translation file. TMS QA checks strings against rules. Loqalit checks what your users actually see.
Lokalise QA vs rendered-product QA
Error type | Lokalise QA | Loqalit |
|---|---|---|
Placeholder, HTML and number mismatches | Yes | Yes |
Spelling and grammar | Yes | Yes |
Terminology vs glossary | Yes | Yes |
MQM-based quality scoring | Yes, per string | Yes, per finding on the rendered page |
Character limits | Yes, via a filter | Detects actual overflow on the page |
Text overflow and truncation in the rendered UI | Human-dependent (in-context editor) | Yes |
Layout breaks and RTL mirroring | Human-dependent (in-context editor) | Yes |
Context-wrong but string-correct translations | Human-dependent (in-context editor) | Yes |
Hardcoded strings that never entered the TMS | No | Yes |
Scheduled checks of the live site | No | Yes |
When is Lokalise QA enough?
Your main risk is string-level errors: placeholders, numbers, terminology.
Translators review every release in context, and you trust that coverage.
When do you need a dedicated LQA tool?
You ship a website or web app in several languages and find layout or context bugs after release.
Some user-facing text never passes through Lokalise.
You need scheduled checks of the live product, or MQM-scored proof per locale.
How do Lokalise and Loqalit work together?
Keep Lokalise’s QA checks and AI scoring on during translation; they catch string-level errors early. Then let Loqalit check the staging or live site in every language. Loqalit has no native Lokalise integration. You can export findings (CSV, XLSX, PDF or JSON) or connect through signed webhooks and the REST API, and apply the fixes in Lokalise.
Localization QA for live websites and web apps · TMS QA checks vs in-context QA · All six categories of localization QA tools
Frequently asked questions
Is Lokalise QA enough for a website?
Not for the rendered website. Lokalise QA covers string-level errors inside the translation workflow, but it doesn’t check the live pages, so overflow, layout and context bugs need rendered-product QA.
Can I try Loqalit on a site translated with Lokalise?
Yes. You can run one scan as a guest before creating an account.
What’s the difference between Lokalise AI LQA and Loqalit?
Lokalise AI LQA evaluates the translations stored in your Lokalise project. Loqalit evaluates the rendered pages of your website or web app, in every language, on a schedule.
Does Loqalit integrate with Lokalise?
Loqalit has no native Lokalise integration. You can export findings (CSV, XLSX, PDF or JSON) or connect through signed webhooks and the REST API, and apply the fixes in Lokalise.
Do I need to replace Lokalise to use Loqalit?
No. Lokalise stays your TMS. Loqalit adds checks on the rendered product.