
Panelry
Nutrition facts
LabelCalc
Nutrition Maker
Nutritics
Nutrition Complete
NutriFacts
Create FDA-compliant nutrition facts labels free. 152 formats for 114 countries, Supplement Facts, and print-ready PDF, PNG, SVG export. Start free.

The modern platform for creating, sharing, and collaborating on AI prompts. Advanced version control and real-time testing.
Website, pricing, platforms and company facts side by side.
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| Website | nutritionfactlabel.com | diffyn.com |
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| Company | Startup from Pakistan · 1 - 9 employees | — |
| Listed in |
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As answered by people managing NutritionFactLabel and Diffyn.
NutritionFactLabel's answer
Coverage and citations.
Most nutrition label tools cover the United States and stop there. NFL ships 152 label formats across 114 countries from a single recipe: FDA Nutrition Facts and Supplement Facts, EU 1169/2011 and Nutri-Score, Canadian bilingual panels plus the "High in" front-of-pack symbol, Mexican NOM-051 octagons, Brazil's ANVISA magnifier, India's FSSAI star rating, China GB 28050, Codex, and around a hundred more.
Every format is cited to the paragraph of the regulation it implements, and each one has its own reference page you can read before you sign up. If our panel and your regulatory reviewer disagree, you can see exactly which rule we applied.
The other unusual part is the 23 free tools that need no account at all: the RACC lookup from 21 CFR 101.12, an FDA nutrient content claim validator, a Canadian FOP symbol checker, a PDP type-size calculator, and more. They are genuinely free rather than a trial.
Diffyn's answer:
Addresses workflow and change management on LLM prompts, provide teams with traceability and visualization of tests across multiple models, provide deeper understading into efficiency of these prompts.
NutritionFactLabel's answer
Three reasons, and one honest reason not to.
Where we lose: several competitors allow unlimited recipes on every paid plan, and we cap at 25 or 100. If you have hundreds of SKUs in one market and no international requirement, one of them is probably the better buy. Our own comparison pages say so.
Diffyn's answer:
Diffyn is the platform that specializes on both change management and multi-model analysis.
NutritionFactLabel's answer
Diffyn's answer:
React, Next.js, POSTGRESQL
NutritionFactLabel's answer
Anyone who has to put a compliant panel on a package, in roughly this order:
The common thread is that compliance is a gate they have to clear, not their profession. The site is available in 10 languages for the same reason.
Diffyn's answer:
Professionals incorporating LLMs or AI tools in their workflow and wants to keep track of changes and test their prompts.
NutritionFactLabel's answer
NFL started from a gap that is easy to see once you look for it: nutrition label software is overwhelmingly built for the United States, and a product that crosses a border needs a different panel, different rounding, a different reference table and sometimes a front-of-pack warning that does not exist in US law at all.
So the build went the other way round. Instead of shipping an FDA generator and bolting other countries on later, the regulation data came first: 152 formats across 114 countries, each one encoded from the actual text of the rule and cited to the paragraph it comes from. The generator sits on top of that dataset rather than the other way around.
Two decisions followed from it. Every regulation has a public reference page you can read without an account, because compliance software that hides its sources is asking to be trusted on faith. And the 23 tools that fell out of the dataset along the way, the RACC table, the claim thresholds, the type-size rules, were left free and un-gated, because they are lookups against public law rather than a product.
Diffyn's answer:
I started working on Diffyn when I notice that prompting has become an essential part of work across many industries. While there are version control platofrms like github, they are not designed for just prompt management are can be overkill such applications, it is also not integrated natively with various LLMs and relevant tools for users to validate ideas and visualise results properly.
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