A multilingual restaurant menu presents the same current dishes in the languages guests understand, while keeping prices and availability synchronised. In a QR menu, the guest can switch language without scanning another code or opening another document.
The operational goal is not to publish as many languages as possible. It is to support the languages that reduce questions, prevent ordering mistakes and help the restaurant serve its real mix of local guests and tourists.
How to choose the right menu languages
Start with evidence from the venue: reservation messages, hotel partners, tour groups, staff conversations and the languages guests use when asking questions. Add a language when demand is recurring, not because it appears on a generic tourism list.
- Armenia: Armenian first, then English and Russian for many tourist-facing venues
- Greece and Cyprus: Greek plus English, with other languages based on the resort’s actual guests
- Turkey: Turkish plus English, then market-specific languages for the location
- Egypt and Gulf-facing venues: Arabic and English, with local wording reviewed by a native speaker
A reliable menu translation workflow
- Lock the source version. Confirm the current dish names, ingredients and prices before translating anything.
- Translate meaning, not isolated words. A dish name may need a short explanation when there is no familiar equivalent in the target language.
- Preserve restaurant terms. Decide how brand names, regional dishes and cooking methods should be transliterated or explained.
- Review allergens and dietary tags separately. These labels must stay consistent with the visible ingredient description.
- Ask a fluent reviewer to read the menu as a guest, then correct awkward wording before publishing.
- Keep one update process. When the source dish changes, flag every translation that may need a new review.
Languages and currencies are separate choices
A Russian-language guest in Armenia may still need prices in Armenian dram; an English-language guest in Greece will usually expect euros. Do not assume the language determines the currency.
Use the venue’s legally charged currency as the primary price. If you show converted reference prices, label them clearly, use a defined exchange-rate source and keep rounding predictable. The final charge should never be ambiguous.
Design for long text and right-to-left languages
Translations rarely have the same length. Buttons, category tabs and dish rows must tolerate longer words without clipping or covering prices. Test every language on a narrow phone, not only in a desktop editor.
Arabic requires a true right-to-left layout: text alignment, reading order, icons and mixed numbers must all be checked. Simply translating the words while keeping a left-to-right interface produces a visibly broken menu.
Why one QR code should serve every language
One code is easier for guests and staff. It opens the current menu, then the guest selects a language inside the page. Separate codes for each language increase table-card clutter and make it easier to update one version while forgetting another.
The chosen language can be remembered on the device, but every version should remain reachable through visible links. This gives guests control and keeps the menu usable when automatic language detection is wrong.
Pre-season multilingual menu checklist
- Confirm the source menu and every price
- Remove obsolete dishes before translating
- Review local dish names and transliterations
- Check ingredients, allergens and dietary tags across languages
- Test category navigation and text wrapping on a narrow phone
- Scan the same printed QR code and switch through every language
Frequently asked questions
How many languages should a restaurant menu have?
Use the smallest set that covers recurring guest demand and can be reviewed reliably. For many venues in Armenia, Armenian, English and Russian are a practical starting point; resort markets should use their own guest data.
Should a QR menu translate prices into another currency?
It may show a clearly labelled reference conversion, but the venue’s charged currency should remain unambiguous. Language and currency should be selectable independently because they describe different guest needs.
Can AI translate a restaurant menu?
AI can create a useful first draft, especially for repeated structures and descriptions. A fluent human should still review dish meaning, allergens, local culinary terms and any wording that affects what the guest orders.