{"id":1954,"date":"2025-04-24T09:52:56","date_gmt":"2025-04-24T09:52:56","guid":{"rendered":"https:\/\/geneea.com\/news\/?p=1954"},"modified":"2026-01-27T15:22:31","modified_gmt":"2026-01-27T15:22:31","slug":"restabot-taming-restaurant-menus-with-ai","status":"publish","type":"post","link":"https:\/\/geneea.com\/news\/restabot-taming-restaurant-menus-with-ai","title":{"rendered":"Restabot: Taming Restaurant Menus with AI"},"content":{"rendered":"\n<p class=\"has-text-align-center\"><em>Written<\/em> <em>by our NLP software engineer <a href=\"https:\/\/www.linkedin.com\/in\/radoslav-kl%C3%AD%C4%8D-86286829\/\">Rado Kl\u00ed\u010d<\/a>.<\/em><\/p>\n\n\n\n<p>My team takes lunch seriously. Our daily quest through online menus to find the perfect lunch spot sparked an idea: what if a bot could simplify this? Since we work with AI daily in our business, applying it to a fun, everyday problem like choosing lunch felt like a natural next step. That&#8217;s how <a href=\"https:\/\/github.com\/radcliffkey\/restabot\">Restabot<\/a> came to be.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>How Restabot Works: Under the Hood<\/strong><\/h2>\n\n\n\n<p>Restabot is a side project designed to tackle the sometimes messy world of online restaurant menus. Here\u2019s how it operates:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Scrape:<\/strong> The bot visits restaurant websites to grab menus. Since menus are often images rather than text, I opted to take screenshots for simplicity instead of parsing complex HTML. Even this approach requires automating interactions, like accepting those annoying cookie dialogs.<\/li>\n\n\n\n<li><strong>See (OCR):<\/strong> The screenshots are then processed using Google&#8217;s Gemini models. I instruct the model to identify the relevant menu portion within the screenshot and extract the content in a structured format. It handles typical menus well, and I was surprised by how effectively it even parsed a photo of a handwritten chalkboard menu!<\/li>\n\n\n\n<li><strong>Summarize:<\/strong> Once the menu data is extracted, another call to a Gemini model makes sense of it. This step involves selecting the menu valid for the current day, correcting potential OCR inaccuracies, and finally generating a neat, structured summary.<\/li>\n\n\n\n<li><strong>Share to Slack<\/strong>: We already have a dedicated lunch channel. Now, it has a new, robotic member.<\/li>\n<\/ol>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"462\" src=\"https:\/\/geneea.com\/news\/wp-content\/uploads\/2025\/04\/image2-1024x462.png\" alt=\"\" class=\"wp-image-1963\" srcset=\"https:\/\/geneea.com\/news\/wp-content\/uploads\/2025\/04\/image2-1024x462.png 1024w, https:\/\/geneea.com\/news\/wp-content\/uploads\/2025\/04\/image2-300x135.png 300w, https:\/\/geneea.com\/news\/wp-content\/uploads\/2025\/04\/image2-768x347.png 768w, https:\/\/geneea.com\/news\/wp-content\/uploads\/2025\/04\/image2-850x384.png 850w, https:\/\/geneea.com\/news\/wp-content\/uploads\/2025\/04\/image2.png 1127w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<p>The goal is to give you a clear, quick overview of what a restaurant offers, saving you from squinting at blurry PDFs or oddly formatted websites.<\/p>\n\n\n\n<p>For those following AI developments, you&#8217;ll notice I&#8217;m using AI in an \u2018old-fashioned\u2019 way here \u2013 no agents involved! At least, not yet. \ud83d\ude09<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>What&#8217;s Next?<\/strong><\/h2>\n\n\n\n<p>Restabot is definitely still a work in progress. It&#8217;s a fun way to combine web scraping with AI for text recognition and summarization. The source code is up on the <a href=\"https:\/\/github.com\/radcliffkey\/restabot\">Restabot GitHub repository<\/a> if you want to check it out or contribute. Feel free to share feedback or suggestions via GitHub issues! Or even better, fork and send pull requests! I&#8217;m excited to keep improving it\u2014maybe it can help you find your next great meal, too!<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Written by our NLP software engineer Rado Kl\u00ed\u010d. My team takes lunch seriously. Our daily quest through online menus to find the perfect lunch spot sparked an idea: what if a bot could simplify this? Since we work with AI daily in our business, applying it to a fun, everyday problem like choosing lunch felt&#8230;<\/p>\n","protected":false},"author":9,"featured_media":1955,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[382],"tags":[240,442],"class_list":["post-1954","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-life-at-geneea","tag-generativeai","tag-inspiration"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Restabot: Taming Restaurant Menus with AI - Geneea News<\/title>\n<meta name=\"description\" content=\"AI-driven Restabot turns chaotic restaurant menus into clean, structured data to improve discoverability and usability.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/geneea.com\/news\/restabot-taming-restaurant-menus-with-ai\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Restabot: Taming Restaurant Menus with AI - 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