# Lovable Prompts for Building a Recipe App

- Tool: Lovable Prompts
- Last updated: June 2026

## TL;DR

This prompt kit builds a food-forward recipe app where users browse a public recipe catalog with photos, view ingredients and step-by-step instructions, save favorites, filter by dietary tags, and optionally submit their own recipes — all backed by Lovable Cloud. The key architectural decision: model ingredients and steps as separate normalized tables with a position column, not as a text blob. That one choice unlocks servings scaling, shopping lists, and dietary filters later.

## Frequently asked questions

### Why separate ingredients into their own table instead of just a text field?

A text blob makes every interesting feature impossible. With ingredients stored as plain text, you cannot scale a recipe from 4 to 6 servings (you would have to parse natural language like '1 cup' from unstructured text). You cannot generate a shopping list that combines ingredients from multiple recipes. You cannot filter by dietary content. You cannot search by ingredient name. With a normalized table (recipe_id, position, qty, unit, name), all of these become straightforward queries and client-side math. The servings scaler, shopping list, and dietary filter are the concrete payoffs.

### How does the servings scaler handle fractions cleanly?

The formatQuantity helper uses the fraction.js library. When you scale from 4 servings to 3, the multiplier is 0.75. A quantity of 1 cup becomes `1 * 0.75 = 0.75`. Without formatting, this shows as '0.75 cup'. With fraction.js, new Fraction(0.75).toFraction() returns '3/4', so it displays as '3/4 cup'. The library also handles mixed numbers: 1.5 becomes '1 1/2', and 0.333... becomes '1/3'. This is why the formatQuantity helper is a non-negotiable part of the IngredientList component.

### Can users submit their own recipes, and how do I prevent spam?

Yes — the /submit route allows signed-in users to post recipes. Requiring authentication is the primary spam prevention: bots cannot easily create accounts at scale the way they can submit anonymous forms. New submissions default to status='published' (visible immediately), but you can change the default to status='draft' and add an admin review step at /admin/recipes if your community is open to the public. The admin role (via is_admin()) can edit or delete any recipe.

### How big can my recipe collection grow before Supabase free tier breaks?

Very large. A recipe row is roughly 1KB of text data. With 6 ingredients (each ~100 bytes) and 8 steps (each ~200 bytes), one full recipe is roughly 3KB. At that rate, 500MB of Supabase Free storage holds approximately 166,000 recipes. Your Storage limit (1GB for images) is far more likely to be the first bottleneck if users upload step-by-step photos at high resolution. Always compress to 300KB max client-side — this extends your Storage tier to approximately 3,000 cover photos within the 1GB free tier.

### Should I use the Lovable AI panel to auto-generate recipes from photos?

The Lovable AI panel (Gemini 3 Flash) is not ideal for recipe extraction from photos — it can describe what it sees in an image but cannot reliably output structured ingredient lists with quantities and units. For photo-based recipe extraction, a dedicated vision model (GPT-5.4 or Claude Sonnet 4.6 with vision) works much better. The AI recipe parser follow-up prompt uses Claude Haiku 4.5 to extract structured data from recipe URLs (not photos), which is a more reliable use case for structured extraction.

### Can I add a meal-planning calendar later without rebuilding the schema?

Yes. The schema is designed to be extensible. A meal plan calendar adds one new table: `meal_plans` with (user_id, recipe_id, planned_date, meal_type [breakfast/lunch/dinner/snack]). This table joins to the existing recipes table — no schema changes to recipes, ingredients, or steps. The shopping list generator (follow-up prompt) can then be extended to accept a date range and pull all meal-planned recipes for that week.

### How does this compare to just using WordPress with a recipe plugin?

A WordPress recipe plugin (Tasty Recipes, WP Recipe Maker) gives you schema.org structured data, recipe card SEO markup, and print layouts out of the box — things you have to build manually in Lovable. WordPress also has SSR so recipe pages rank on Google immediately. The Lovable recipe app wins on: full data ownership with a clean Postgres schema, no plugin conflicts, ability to add custom features (shopping lists, community features, dietary filters) without a $100+/yr premium plugin, and a modern React interface. Build in Lovable when you want owned infrastructure and plan to extend the app; use WordPress when your primary goal is Google search traffic for recipe pages.

### If your recipe app needs nutrition database integration, meal kit delivery, or a mobile app, what does RapidDev offer?

If your build outgrows this prompt kit and you need custom architecture, RapidDev builds production-grade Lovable apps at $13K-$25K — book a free 30-minute consultation at rapidevelopers.com.

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Source: https://www.rapidevelopers.com/lovable-prompts/lovable-prompts-for-building-recipe-app
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