AI for restaurants: menus, food photos and social posts

Use AI for restaurant content by starting with an approved fact sheet: the dishes you actually serve, accurate descriptions, service hours and contact details. Turn that information into drafts for menus, posts and visual briefs, then have the appropriate team member review them.

With Deepnia, turn it into a menu with Imprimerie IA, Deepnia's print-ready document tool; retouch food photos in Image Studio with Nano Banana 2; and make a short video with Product Video.

Begin with one customer question

Choose a limited first task: explain a lunch service, improve three dish descriptions or prepare the wording for an updated menu. You can check a small batch thoroughly before extending the process.

Ask the team what customers repeatedly need to know. Are they unsure when lunch ends? Do they confuse a side dish with a complete meal? Are they looking at an old menu? Those questions provide a practical content brief without requiring an elaborate campaign.

Also update the places customers already check, such as the menu on your Google Business Profile.

Create an approved fact sheet

Keep a short source document that the kitchen and service team can validate. For each dish, record its approved name and description. Add the relevant service period, availability wording and contact method. Date the document so an old draft is not mistaken for the current offer.

Separate confirmed facts from unanswered questions. Do not ask AI to identify the full ingredients or allergen information from a dish name or photograph. Use the restaurant's verified records and established procedures for those details. A plausible answer is not a substitute for checking the actual preparation.

Assign someone to approve changes. In a small restaurant, one person may hold several responsibilities, but the source should still have a clear owner. Otherwise, a detail corrected in one post can remain wrong in the menu graphic produced from yesterday's version.

Worked example: announce a weekday lunch

The restaurant and menu below are fictional.

Garden Table wants to explain its lunch service. Its approved sheet says: Tuesday to Friday, noon to 2 p.m.; roasted vegetable rice bowl, £12; customers should check with the team for that day's availability. Nothing in the sheet supports claims about organic ingredients, local sourcing, dietary suitability or unlimited servings.

Output	Information it needs	Main check
Menu entry	Approved dish name and amount	Matches the current source
Social post	Days, hours and availability wording	No promise of permanent availability
Image brief	Accurate presentation or clearly separate illustration	No added ingredients or inflated portion

Example prompt:

Using only this fact sheet, draft one short menu description and one lunch announcement. Preserve amounts, days and hours exactly. Do not add ingredients, dietary claims, sourcing claims, discounts or booking methods. List missing information separately. Keep the tone friendly and direct, without superlatives. Return the factual details you used so I can compare them with the source.

A possible draft is: “Join us for lunch Tuesday to Friday, from noon to 2 p.m. Our roasted vegetable rice bowl is £12. Please check with the team for today's availability.”

Make descriptions appealing without adding facts

Start with what distinguishes the actual dish. If the kitchen confirms a preparation method, use it accurately. Roasted, grilled and steamed are not interchangeable ways to make a sentence sound appetizing.

Avoid expanding a general ingredient label into a detailed list unless the kitchen approves that list. A writing tool might turn “vegetables” into peppers, carrots and courgettes because the combination sounds plausible. That would create a specific promise absent from your source.

For multilingual menus, have someone competent review dish names and ingredients. Literal translations can create confusion, while a fluent rewrite can quietly change the meaning. Preserve an established dish name where appropriate and add a checked explanation rather than inventing a familiar equivalent.

Create a print-ready menu

Have your facts ready? Open Imprimerie IA: paste your approved dishes, amounts and hours to get a print-ready menu. For a poster or leaflet, follow the guides to a clear promotional leaflet and a business flyer.

For a menu visual to post, GPT Image 2, in Image Studio, handles text in images well. Proofread every line, and see how to generate readable text in AI images.

Keep food images faithful to the offer

For a dish customers can order, use a recent photograph of the real serving as your reference. If you prepare an editing brief, identify what must remain unchanged: ingredients, portion size, arrangement and any serving items that are part of the offer.

Review the result beside the original. Check for added garnish, a larger portion, a different protein or tableware that changes the perceived presentation. An attractive edit is not acceptable if it describes a meal you do not serve.

Generated imagery can support an illustrative concept, but do not present it as documentary evidence of a real dish or dining room.

Begin with a narrow image task, such as a clearer crop or less distracting background, in Image Studio with Nano Banana 2, built for fast edits that preserve the subject. Do not ask for a complete reinvention when the real need is to make an existing photograph easier to understand.

For a menu visual, Product Shooting creates packshots and lifestyle scenes from a photo of the dish. It rebuilds the whole image, so check the ingredients and portion against the real plate. The guide to AI product photos applies to dishes too.

Adapt approved wording across channels

Once the central message is approved, create shorter or longer versions for the menu, a post and a response to routine questions. The length can change; the offer should not.

Do not let a more energetic caption add a discount, guaranteed table, delivery option or special event. Keep essential details visible. If a graphic shows the dish and a caption carries the hours, review them together rather than treating them as unrelated assets.

For a short video, for example with Product Video, check the displayed text against the narration. A correct caption does not repair a voiceover announcing the wrong service time. Keep the same source sheet attached to the whole content package.

Add a small approval and update loop

Use three checks before release: the kitchen confirms the food, the service lead confirms practical information, and the publisher checks the final asset. One person can perform several checks, but each question still needs an answer.

Record the publication date and channel in a simple internal tracker. When the offer changes, use that record to find affected posts and menu files.

Also decide what to measure. Drafting time, number of corrections and repeated customer questions are useful operational signals.

Frequently asked questions

Can I prepare the entire menu at once?

Yes: Imprimerie IA lays out a complete menu from your approved fact sheet; start with a few dishes to test the method. Check every item before expanding. Repeating one incorrect assumption across many assets creates more cleanup work than reviewing a small initial set.

Can AI help answer customer reviews?

It can help draft a response from the facts you provide. Review the wording and publish through the appropriate channel yourself. Do not create fake positive reviews or invent details about what happened during a customer's visit.

How do I make great food photos with AI?

Start from a recent photo of the served plate and retouch it in Image Studio with Nano Banana 2: crop, light, a less distracting background. For a packshot or lifestyle scene, use Product Shooting, then compare the dish with the real plate.

Start with one dish and two useful outputs

Approve a fact sheet for one dish, then create your menu with Imprimerie IA and the dish's photo in Image Studio. For a wider routine, read the social media production workflow and the guide to commercial content production.