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RecipioAI VS Noms.sh

Compare RecipioAI VS Noms.sh and see what are their differences

RecipioAI

AI powered recipe/shopping list sharing app

Rating
0 reviews
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Alternatives Is it good?
Noms.sh

Nutrition data for 3.7M foods and 298K brands across 230 countries, with barcodes and images

Rating
0 reviews
Pricing
Freemium $29 / Monthly (Sous Chef)
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Alternatives Is it good?
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Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Productivity popularity
100% vs 0%
alternatives listed
1 vs 5

Base details

Website, pricing, platforms and company facts side by side.

RecipioAI
Noms.sh
Website recipio.app noms.sh
Pricing —
Freemium $29 / Monthly (Sous Chef) Official pricing
Platforms —
Web REST API
Listed in
Productivity Web App Tech Home +1
APIs Nutrition Food And Beverage Developer Tools API Tools Health And Fitness +3

About RecipioAI and Noms.sh

In their own words, as submitted to SaaSHub.

RecipioAI
Noms.sh

No description of RecipioAI yet.

Noms is a REST API for nutrition data. One catalog covers 3.7M foods and 298K brands across 230 countries, from generic foods like an apple to packaged supermarket products, with 3.4M barcodes and 566K food images. Each food carries up to 177 nutrients per 100 g or 100 ml. Names are normalized,...

Read more about Noms.sh

Features and specs

What each product offers, as listed by its team.

RecipioAI 4 features
Noms.sh 7 features
  • Ease of Use
    RecipioAI offers a user-friendly interface that simplifies the process of finding and managing recipes, making it accessible to users of all technical levels.
  • Recipe Customization
    The platform allows users to customize recipes based on their dietary preferences and ingredient availability, providing flexibility and personalization.
  • AI-Powered Recommendations
    RecipioAI utilizes artificial intelligence to provide personalized recipe recommendations, enhancing the user experience by suggesting dishes that match individual tastes and nutrition goals.
  • Ingredient Substitution
    The app offers smart suggestions for ingredient substitutions, helping users adapt recipes to accommodate dietary restrictions or unavailable ingredients.

Possible disadvantages

  • Subscription Cost
    Accessing premium features on RecipioAI may require a subscription, which could be a drawback for users looking for free services.
  • Limited Database
    Despite its AI capabilities, the recipe database might be limited compared to other larger platforms, which can restrict user options.
  • Dependence on Technology
    Users may become overly reliant on AI recommendations, potentially discouraging traditional cooking exploration and skill development.
  • Privacy Concerns
    The app requires user data to function optimally, which might raise privacy concerns among users cautious about sharing personal information.
  • Catalog
    3.7M foods and 298K brands across 230 countries
  • Barcode lookup
    3.4M barcodes; look up a packaged product by its code
  • Nutrients
    Up to 177 nutrients per 100 g or 100 ml
  • Search
    Typo-tolerant search by food name
  • Nutrient ranking
    Filter and sort foods by any nutrient
  • Developer experience
    JSON, cursor pagination, RFC 9457 errors, OpenAPI 3.1
  • Free tier
    250 requests a day on one market, no card

Analysis

An editorial look at what each product does well and who it suits.

RecipioAI
Noms.sh

Overall verdict

  • I don't have verified, specific information about RecipioAI (recipio.app) since it appears to be a niche or newer product that isn't well-documented in my training data. I can't confirm its features, quality, pricing, or user reception with confidence, so I'd recommend researching it directly through user reviews, the official website, and independent tech review sites before forming a judgment.

Why this product is good

  • I lack reliable, up-to-date information about this specific product to make an informed assessment
  • Claims about its quality would be speculative without verified data
  • Product details, pricing, and features may have changed or may not be in my training data

Recommended for

  • Anyone interested should check the official website recipio.app directly for current features and pricing
  • Look for third-party reviews on sites like Trustpilot, G2, or Reddit for genuine user experiences
  • Consider trying any free trial or demo offered to evaluate it firsthand
  • Consult recent tech blogs or AI tool directories that may have reviewed it

No analysis of Noms.sh yet.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
RecipioAI
Noms.sh
100% 100%
Productivity
0% 0%
0% 0%
APIs
100% 100%
100% 100%
Web App
0% 0%
0% 0%
Nutrition
100% 100%

Questions & Answers

As answered by people managing RecipioAI and Noms.sh.

Which are the primary technologies used for building your product?

Noms.sh's answer:

Python, PostgreSQL, and Google Cloud.

What makes your product unique?

Noms.sh's answer:

One catalog covers 3.7M foods and 298K brands across 230 countries, from generic foods like an apple to packaged supermarket products, with 3.4M barcodes and 566K food images. Names are normalized, units reconciled and duplicates merged before the response reaches you. Each food carries up to 177 nutrients per 100 g or 100 ml.

Why should a person choose your product over its competitors?

Noms.sh's answer:

Coverage outside the US, including Latin America, in one API. Clean data without doing the cleanup yourself. A free tier with 250 requests a day and no card, then plans from $29 a month. JSON responses with cursor pagination and RFC 9457 errors, described by an OpenAPI 3.1 document.

How would you describe the primary audience of your product?

Noms.sh's answer:

Developers building food, fitness, nutrition and grocery apps who need reliable nutrition data and barcode lookup without maintaining their own food database.

What's the story behind your product?

Noms.sh's answer:

Food data is scattered across sources that disagree on names, units and duplicates, and every app ends up redoing the same cleanup. Noms does that work once and serves the result through one API.

User comments

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