toolsDetail.projectRecordtoolsDetail.categories.gbptoolsDetail.statuses.livetoolsDetail.updatedOn

GBP MenuMaker

SEO-friendly menus for local businesses. Automatically extract and structure business menus from Google Maps using Gemini, creating public pages Google and AI can read.

Most local restaurants and cafes still hide their menu inside a PDF or a photo on Facebook, invisible to Google and to AI search assistants. GBP MenuMaker turns a photo of a physical menu into a structured, bilingual, fully marked-up public page in minutes, no manual data entry required.

toolsDetail.openTool →

toolsDetail.overview

GBP MenuMaker, live at mapsbusinessfinder.com, is a free tool that gives local businesses a proper website built around their Google Business Profile. A business owner searches for their listing using Google Places Autocomplete, which pulls in their address, coordinates, category, and photos automatically, then uploads a photo of their existing menu or price list. Gemini reads the image and extracts it into structured sections, items, descriptions, and prices, ready to publish as a searchable page in a couple of minutes.

The tool is built for the businesses that have the least time and the least technical help: independent restaurants, cafes, and other food and service businesses whose only real web presence is their Google Business Profile. Instead of asking them to fill out forms or pay a web designer, GBP MenuMaker does the tedious digitization work for them and hands back a page they can point customers to.

The reason this matters for local SEO is structural, not cosmetic. A photo of a menu is invisible to search engines and to AI assistants that answer questions like "what does this place serve" or "where can I get vegan pad thai near me." Every menu extracted by GBP MenuMaker is published with full schema.org Menu, MenuSection, and MenuItem markup, dietary tags mapped to recognized diet types, and structured pricing, so the same information a diner sees on the page is also machine-readable by Google and by generative AI search products doing answer-engine optimization.

Business owners can then generate a grounded description of the business itself: Gemini researches the business using Google Search and Google Maps grounding tools and writes an about section, atmosphere notes, highlights, nearby landmarks, and a tailored FAQ, complete with clickable source citations so the claims can be checked rather than taken on faith. The result is a public page with real structured data behind it, not another thin listing.

toolsDetail.keyFeatures

Photo-to-menu extraction

Upload a photo of a physical menu and Gemini's vision model extracts sections, item names, descriptions, prices, currency, dietary tags, and dish types like Signature Dish or Chef Recommendation into a structured JSON menu, with both English and Thai fields generated automatically.

Grounded business descriptions

A separate Gemini pass, using Google Search and Google Maps grounding tools, writes an about section, atmosphere, highlights, nearby landmarks, and a business-specific FAQ, and returns the source links it used so the content can be verified rather than trusted blindly.

Full structured data markup

Every published page renders schema.org LocalBusiness/Restaurant type markup, a full Menu with MenuSection and MenuItem entries, Offer pricing, dietary suitability tags, nutrition information where available, and a FAQPage schema, all generated server-side from the stored data.

Bilingual by default

Menu items and business summaries are generated and stored in both English and Thai, with dedicated translation passes to fill in either language, and the public page renders the correct language for each visitor while keeping the other available to search engines.

Google Maps sourced business details

Places Autocomplete pulls in address, coordinates, category, and photos when a business is first added, and the published page embeds a live Google Map and the Google Places reviews and ratings widget so visitors don't have to leave the page.

Owner dashboard and claim flow

Businesses can be claimed by their real owners through Google Sign-In, giving them a dashboard to edit menu sections and items, manage announcements, and regenerate AI content, with a separate admin view for moderating listings.

toolsDetail.architecture

FrontendA React 18 and TypeScript single-page app built with Vite, using React Router for navigation, Tailwind CSS for styling, Intlayer for internationalization, and react-helmet-async to inject per-page meta tags and JSON-LD.

AI / vision modelGoogle's Gemini models via the @google/genai SDK, called only from the Cloudflare Worker backend so the API key is never exposed to the browser: a vision-capable model extracts structured menu data from uploaded photos against a strict JSON schema, while a second, faster model handles grounded business-description generation and English/Thai translation.

Backend / dataFirebase provides Firestore for business, menu section, and menu item data, Firebase Storage for images, and Firebase Authentication with Google Sign-In for both business owners claiming a listing and platform admins.

Hosting / edgeThe built SPA is served as static assets on Cloudflare Workers, configured with SPA fallback routing. Requests to /api/ai/* are routed to the Worker first, which verifies the caller's Firebase ID token before forwarding any request to Gemini, keeping the AI endpoints authenticated and same-origin only.

Public page generationEach claimed business gets a dedicated public page that assembles LocalBusiness/Restaurant, Menu, and FAQPage JSON-LD directly from the stored Firestore data at render time, so the structured data always matches what a human visitor sees on the page.

ReactTypeScriptViteFirebaseGemini APICloudflare Workers

toolsDetail.bottomCtaQuestion

toolsDetail.browseAllTools →