Marketing
AI for translation and localization (Greek/English)
Use a translation tool such as DeepL or an AI assistant for the first draft, guided by a glossary of your key terms and a short style note. Then have a native speaker review it and adapt it for the market. AI is fast for product pages, emails and posts, while legal, medical or contract text still needs a professional translator.
Effort:
Low
Time saved:
Often 40–60% faster than translating from scratch (estimate)
The problem today
Greek businesses that sell to visitors or abroad need English and often other languages. Professional translation of every post and page is slow, while raw machine translation sounds unnatural and gets key terms wrong.
How it works, in plain words
It is like a fast bilingual assistant who works from your glossary, while a native speaker gives the final approval.
What goes in: the full source page or email, your glossary of key terms, a short style note per language and a description of the audience.
What the AI does: it translates the whole text in context, keeps your fixed terms and adapts phrasing, units and dates to the target market.
What a person checks: a fluent or native speaker checks meaning, tone and local fit, and fixes anything that reads like a translation.
What comes out: product pages, emails and posts ready to publish in each language, plus an updated glossary for next time.
It does not replace a professional translator for legal, medical or contract texts.
How it could work for businesses like yours
Illustrative examples, not client case studies.
A 5-person honey and herbs e-shop in Tripoli
Many orders come from Germany, but the site is only in Greek and English. They would build a glossary of product names and translate their 40 main product pages into German with DeepL, reviewed by a German-speaking freelancer. They would measure the conversion rate of German-speaking visitors before and after.
A villa rental company on Corfu with 20 properties
Guest guides and pre-arrival emails exist only in English. They would translate them into Italian and French with a short style note, then have native speakers review them. A realistic aim could be fewer guest questions before arrival.
A 35-person marble exporter in Drama
Sales sends quotes and technical sheets to buyers in several languages and waits days for translations. They would use AI for first drafts of technical sheets with a strict glossary, and keep contracts with a professional translator. They would track the turnaround time for each translated document.
How to do it, step by step
Build a glossary. List 30–100 terms with your preferred translation: product and service names, plus words you never translate.
Write a style note per language. Decide on formal or informal tone, British or American spelling, and how to show prices, units and dates.
Translate in context. Give the tool the whole page and the target audience, not single sentences, and ask for natural local phrasing rather than word-for-word output.
Native review. A fluent speaker checks meaning, tone and cultural fit, and adds every correction to the glossary.
Sort content by risk. Marketing text can go through AI plus review. Contracts, safety instructions and terms of sale need a professional translator.
Pilot one content type first, for example product pages, and track review time and the errors found.
Tools to consider
DeepL: high-quality Greek and English translation, with glossary features on some plans. Caveat: glossary support varies by plan and language pair, so confirm it covers Greek before you rely on it.
ChatGPT or Claude: good at adapting tone and rewriting for a market, not just translating. Caveat: they drift from your terms unless you paste the glossary every time.
Weglot: translates whole websites and lets you edit each translation. Caveat: automatic translations can go live quickly, so review key pages before publishing.
Data protection and GDPR
Translation often involves text you shouldn't share freely, such as customer emails, contracts or HR documents. Before using a free online tool, check whether it stores your text or uses it to train models. Business plans usually offer stronger data terms, but confirm this in the provider's documentation and data processing agreement. Remove names and contact details where the translation doesn't need them. For legally binding texts such as terms of sale or privacy notices, AI output is only a draft, and a qualified translator or lawyer should approve it. For customer or employee data, check with your DPO.
Mistakes to avoid
Translating word for word, so English pages read like Greek sentences with English words.
Skipping the glossary, so the same product ends up with three different names across the site.
Publishing AI-translated terms of sale or safety instructions without professional review.