Tips, guides, and stories about eating well while traveling the world.
A practical walkthrough of Travel Eat's core features: menu scanning, translation, dietary filtering, and scan history. Here's how to get the most out of the app.
Fish sauce in the stir-fry, dashi in the miso soup, lard in the beans: where animal ingredients hide in different cuisines, how to ask about them, and how to filter a foreign menu for vegan, vegetarian or pescetarian dishes.
Plastic food models, ticket machines, set meals and a cover-charge appetizer you did not order: a practical guide to ordering with confidence in Japan when every menu is in kanji, plus a few characters worth learning.
Google Translate's camera is excellent at turning foreign text into your language. A dedicated menu app does something different: it explains the dish. An honest comparison, with examples of when each one is the right tool.
The EU 14 allergens explained, where they hide in different cuisines, why an allergy card helps, and how to use a menu scanner as a first filter while still confirming every dish with the restaurant staff.
Our Playwright scraper went from full photo galleries to ~10 photos per restaurant. A debugging post-mortem with the actual code: what broke, what we tested, the proxy bug that wasted an afternoon, and the API that replaced the browser.
Guest photos on Google Maps are a free photo shoot for every restaurant — except none of them are labeled. An engineering write-up of the pipeline that matches them to menu items: scraping past Google's limited view, batching Gemini vision calls, and refusing to trust the model.
We parse restaurant menus into structured data — dishes, prices, ingredients, allergens — thousands of times a month. Here's the honest math on what that costs, and why we let you bring your own AI key.
These articles are written for AI agents and automated tools — dense and factual, not optimized for human reading. Agent index →
We're working on more guides for specific countries, dietary needs, and travel tips.
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