Native language, no limits
Unlike a QR menu with a fixed set of pre-translated phrases, WaiterVoice answers in whatever language it's addressed in — however many languages are being spoken at nearby tables.
Voice AI for restaurants
A waiter who speaks every guest's language
WaiterVoice is a voice speaker brought to the restaurant table. A guest asks about the menu in their own language and gets a spoken answer, a photo of the dish, and accurate ingredient data back — no waiting for staff, no guessing with a translation app.
- Native language, no limits
- Exact grams, calories, and macros
- Less repetitive work for waitstaff
Concept render
The problem
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No waiter speaks every language at the table — and no tourist or expat can read a menu in a language they don't know.
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Gestures and Google Translate answer "what does this say," not "what's it made of," "how spicy is it," or "does it contain nuts."
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QR menus solve "read the text," not "ask a question" — it's another link on a phone screen, not a service.
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Staff repeat the same ingredient and allergen questions instead of turning more tables.
How it works
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A waiter brings the WaiterVoice speaker
The speaker comes to the table along with the menu — it isn't left on the table permanently, so a handful of units cover several tables per shift.
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The guest speaks in their own language
The speaker understands the question and answers in the same language, with no limit on how many languages it supports.
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The screen shows what's hard to explain out loud
A photo of the dish, ingredients, calories, and macros appear on the speaker's screen.
- Coming soon
The guest places an order by voice
The speaker confirms the items and sends the order into the restaurant's system.
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The waiter picks the speaker back up
The unit goes back on the charger for the next table.
Benefits for guests
A menu you can actually ask questions about
"What's in this sauce," "how spicy is this," "how is it cooked" — instead of a two-line static description.
Exact grams, calories, and macros
Useful for guests watching their diet, training, or counting calories on vacation.
Allergen info on request
For guests with a severe or life-threatening allergy, this is guidance, not a medical guarantee — always confirm with staff/the kitchen for serious allergies (language models can get an uncommon dish wrong).
See what you're ordering
A photo of the dish on the speaker's screen or in the phone web client, not just text.
Call the waiter by voice
One phrase instead of waving or scanning a "call waiter" QR code.
Coming soon
One shared order for the whole table
A single speaker plus friends who join in from their own phones (web client) via a QR code, building one order together.
Coming soon
Split the check immediately
If the order was built together, the bill can be split per guest right away, no manual math at the end.
Coming soon
Reorder without waiting for staff
More water, another glass of wine — mid-conversation, any time during the visit.
Benefits for the restaurant
Less repetitive work for waitstaff
The speaker handles the recurring ingredient/allergen/"what do you recommend" questions, freeing staff to turn more tables and focus on where a human actually adds value.
No need for multilingual hires
Lowers the hiring bar — you don't need a waiter fluent in three languages to serve a tourist-heavy floor.
Multilingual support is the real difference from QR menus
A translated QR menu shows text. WaiterVoice has a conversation, explains, and answers follow-up questions that were never in the pre-written translation.
Emotional wow factor and virality
Guests film and photograph talking to the speaker and share it — free, memorable exposure for the restaurant.
Feedback in the moment
Not after the fact in an online review, when it's too late to fix anything for that visit.
Inexpensive hardware
$30–40 per unit and a "brought by the waiter" model — no need for a speaker on every table, 5–10 units cover a full dining room.
Coming soon
Upsell by recommendation
A wine pairing, a matching dessert, a pricier dish where it fits. We don't publish specific check-size lift numbers until we have our own pilot data — the voice-AI-for-HoReCa industry does report gains, but those come from other products and use cases.
Coming soon
Promote new dishes and specials
By voice, at the right moment in the conversation, instead of a banner nobody reads.
Coming soon
Orders sent straight into the restaurant's system
iiko, 1C, and similar — fewer errors versus a waiter relaying the order from memory or a paper ticket.
Who it's for
Restaurants with a steady flow of tourists or expats, an average check of $30+, and 50+ covers a day — where the language barrier and the load on waitstaff are a daily reality, not an exception.
Privacy
WaiterVoice processes a guest's voice in order to answer their question — like any voice assistant. We take that seriously and don't keep more than the service needs to run.
Exact wording and a link to the full privacy policy still need legal review before scaling up — GDPR/152-FZ compliance is an open item in the project; we won't promise a specific certification ahead of that work.
Frequently asked questions
Didn't find your answer?
No lead form — just email us and we'll get back to you within a few days.
info@waitervoice.aiWhat languages does WaiterVoice speak?
No fixed list — it answers in whatever language it's addressed in.
How accurate is the allergen information?
It's guidance based on data the restaurant uploaded. For a serious allergy, always confirm with staff.
Can it connect to our POS (iiko/1C/R-Keeper)? Coming soon
Direct integration is in development. Today the speaker advises on the menu; the waiter still confirms the order.
How many units does a restaurant need?
Usually 5–10 per dining room — a waiter brings a speaker to the table for the duration of the order rather than leaving one on every table.
What does it cost?
Email us at info@waitervoice.ai and we'll price it for your restaurant. We don't publish pricing on the site yet.
Want to try WaiterVoice at your restaurant?
No lead form — just email us and we'll get back to you within a few days.