Language Lab sample
An AI draft had the right words, but the logic was still wearing English shoes. Judit sorted the tone, CTA wording and local rhythm until the Hungarian felt clear, natural and ready to use.
AI post-editing / EN–HU
Brands using AI or machine translation for Hungarian website, app or marketing copy
Make AI-drafted Hungarian sound useful, natural and trusted
Clear, local, practical, human
AI can produce Hungarian words. That does not mean it has produced Hungarian copy.
This draft looked convincing at first glance. The grammar was there. The meaning was mostly there. But the rhythm was wrong, the CTA felt imported, and the logic still belonged to English.
That is exactly where human review matters.
What was going wrong
The copy had the right pieces, but they had not clicked into the right picture. It was understandable, but not smooth. Correct, but not convincing.
For Hungarian, that difference matters. The language is morphology-heavy, and AI still struggles with nuance, local rhythm and natural user-facing copy.
What changed
Judit kept the intention, removed the English structure hiding inside the Hungarian and made the CTA feel quicker, warmer and more natural.
Before
Indítsd el az ingyenes próbádat. Bármikor törölheted.
After
Próbáld ki ingyen. Bármikor lemondhatod.
Why it matters
AI post-editing is not spellcheck with better lighting. It is language judgement: tone, rhythm, intent, local trust and the tiny choices that make users keep moving. Judit’s EN–HU sample material already focuses on this exact problem: AI Hungarian that is technically understandable but still needs a human eye.