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Welcome to Mizen

Mizen is a cooking companion that transforms messy recipe websites and images into clean, distraction-free cooking experiences. Parse recipes from any URL or photo, scale ingredients automatically, and focus on what matters—the cooking.

Parse any recipe

Extract recipes from any cooking website. Mizen intelligently parses ingredients, instructions, and metadata from thousands of recipe sites.

Upload recipe photos

Take a photo of a recipe card or cookbook page. Mizen’s AI vision extracts the full recipe with structured ingredients and steps.

Scale ingredients

Adjust servings or multiply recipes instantly. All ingredient amounts update automatically with smart fraction formatting.

Step-by-step cooking

Follow along with titled instruction steps. Track timers, check off steps, and navigate recipes hands-free.

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How it works

Mizen uses a hybrid parsing approach to give you accurate recipe data:
  1. JSON-LD extraction - Fast, free parsing of structured recipe data embedded in websites
  2. AI enrichment - Powered by Groq’s llama-3.3-70b-versatile for complex recipes and metadata
  3. Vision parsing - Extract recipes from images using AI vision models
The result: clean recipes with grouped ingredients, titled steps, cuisine tags, storage guidance, and plating notes—all without the blog posts and ads.

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Core features

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Recipe parsing

Extract recipes from any source:
  • URL parsing - Paste any recipe URL and get structured data in seconds
  • Image parsing - Upload photos of recipe cards, cookbooks, or handwritten notes
  • Smart validation - Automatically detects recipe content and validates URLs
  • Multi-format support - Handles JSON-LD, microdata, and plain HTML recipes

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Ingredient intelligence

Mizen understands ingredients at a deep level:
  • Automatic grouping - Ingredients organized by purpose (sauce, main, garnish, etc.)
  • Smart scaling - Handles fractions (½, ¼, ¾), ranges (2-3 cups), and mixed numbers (1½)
  • Substitutions - AI-generated alternatives for each ingredient
  • Descriptions - Learn what each ingredient contributes to the dish

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Cooking experience

Servings controls
1

Adjust servings

Use the yield stepper to increase or decrease servings from 1-10
2

Apply scale multiplier

Choose 1x, 2x, or 3x to multiply the entire recipe
3

See updated amounts

All ingredient quantities recalculate automatically with proper fraction formatting
4

Reset anytime

Click the servings display to reset to the original recipe yield
Step timers Integrated timers help you track cooking times:
  • Timers extracted from instructions (“Simmer for 20 minutes”)
  • Start/pause/reset controls for each step
  • Multiple timers can run simultaneously
  • Audio alerts when timers complete

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Recipe organization

Recent recipes Your parsed recipes are automatically saved:
  • Quick search by recipe name or description
  • Cuisine-based filtering
  • One-click access to previously parsed recipes
  • Stored locally in your browser
Metadata enrichment Mizen extracts comprehensive recipe data:
  • Recipe title, author, and source URL
  • Prep time, cook time, and total time
  • Servings/yield information
  • Cuisine tags (Italian, Korean, Mediterranean, etc.)
  • Storage instructions and shelf life
  • Plating notes and serving suggestions
Privacy first: All recipe data is stored locally in your browser. Nothing is sent to external servers except during the initial parsing request.

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Supported recipe sources

Mizen works with thousands of recipe websites:
  • AllRecipes, Food Network, Bon Appétit, Serious Eats
  • Personal food blogs with structured recipe data
  • Any site using JSON-LD or microdata schema
  • Recipe cards and cookbook photos via image upload
Some paywalled or dynamically loaded recipes may not parse correctly. For best results, use recipes that display all content on page load.

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Technology

Mizen is built with modern web technologies:
  • Frontend: React 19, Next.js 15, TypeScript
  • Styling: Tailwind CSS 4, Shadcn/ui components
  • AI/ML: Groq API with llama-3.3-70b-versatile
  • Parsing: Cheerio for HTML parsing, JSON-LD extraction
  • Vision: AI vision models for image-based recipe extraction

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Get started

Ready to parse your first recipe? Follow the quickstart guide to get up and running in minutes.

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