Accurate and Validated Nutrient Dataset

myfood24 uses a unique and comprehensive dataset, created and quality-checked by experts

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Data you can rely on

myfood24® provides high-quality nutritional analysis you can trust

Unlike many other online tools, the nutritional information underpinning myfood24® has not been crowd-sourced, instead it has been meticulously created by a team of experts and quality checked for accuracy. The dataset contains extensive nutrient information on thousands of branded and generic items including both macro- and micronutrients! 


myfood24 was created by nutrition experts

Expertly created

The dataset has been crafted by nutrition experts, we never use crowd-sourced data

myfood24 has been validated against biomarkers

Biomarker validation

myfood24 has been validated by academics against a series of nutrient biomarkers

Uniquely mapped nutrient dataset

Uniquely mapped

The novel mapping process provides a more comprehensive nutrient dataset

Interested in using myfood24? Why not get in touch or try our free demo.

Get in touch  Try myfood24

Nutrition back of pack label data

The importance of data

Accurate analysis relies on good quality food and drink source data

In order to accurately measure dietary intake, it is crucial that the food and nutrient data used is from a reliable source. Errors in this source data can lead to inaccurate assessments which have the potential to invalidate research and negatively impact patients. 

Nutrient data can be sourced from food composition tables which provide substantial nutrient information on thousands of food and drink items. Yet, these tables only provide information on 'generic' items like ‘white sliced bread’ and 'semi-skimmed milk' as opposed to branded food items.

Given the wide variety of products and brands available on supermarket shelves, it's important to reflect this in the database. However, branded items tend to only have information available for the 'back of pack' nutrients - meaning information on their micronutrient content is often lacking.

Nutrient information can also be gathered using crowd-sourcing, an approach often used by consumer apps. However, these databases tend to be error-prone and lacking in micronutrient information.  

Dietary assessments using these forms of data alone may not always provide the whole nutritional picture accurately.

A novel approach

Utilising a unique mapping process to provide more complete data

Going one step further than any other nutrient analysis software, the unique myfood24 datasets extends food composition tables to include branded products. Unlike any other software, myfood24 holds extensive macro- and micronutrient information on branded items, determined using a unique methodology. 

To do this, we undertake a mapping exercise to match back of pack data from branded food products to nutrient data from food composition tables to provide information on missing micronutrient values such as B6, B12 and iron. This mapped database is unique to myfood24, no other system offers this. Data is never crowd-sourced.

A full quality control activity and additional database formatting is also performed to ensure the accuracy of the data and to enhance the searchability of the dataset.

Developing the initial myfood24 database took approximately 18 months to complete. Our team of dedicated experts are continually updating, expanding and improving our dataset to ensure it remains as accurate and up-to-date as possible.

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Man sketching out unique database architecture
Laptop displaying a food and drink nutrition database

The result

A unique and comprehensive food and drink dataset

The result is a high quality dataset that's more nutritionally complete than other databases available. The myfood24 database meets the rigorous standards demanded by academic researchers, teaching and health professionals.

The dataset contains food and nutrient data from the following: food composition tables, manufacturers, fast food outlets and supermarket items.

Users of myfood24 can search for both generic and branded items from the substantial dataset. Accurate information on over 100 different nutrients is automatically gathered in ‘real time’.

Interested in using myfood24? Why not get in touch or try our free demo.

Get in touch  Try myfood24


We are continually expanding our databases

Our unique food and drink dataset is being enhanced and extended all the time and currently includes the below. If you'd like to collaborate to create a new database or already have one that you'd like to use with myfood24 then please get in touch, we'd love to hear from you!

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The United Kingdom
  • Generic items from McCance and Widdowson 7
  • Branded items including supermarkets, fast food outlets and restaurant chains
  • Dietary and nutrient supplements
  • Specialised oral nutritional supplements including powders and ready-made liquids
  • South Asian dishes


  • Developed in conjunction with the University of Queensland:
  • Generic items from AUSNUT 2011-2013
  • Branded items


  • Developed in conjunction with the University of the West Indies
  • Generic items from USDA food tables
  • Branded items


  • Items are in Danish and was developed in conjunction with Danish Cancer Society
  • Generic items from Frida Fooddata v2
  • Branded items


  • Items are in French and was developed in conjunction with UniLaSalle
  • Generic items from CIQUAL 2017
  • Branded items


  • Items are in German and was developed in conjunction with the University of Bonn
  • Generic items from BLS v3.02
  • Branded items

Middle East

  • Items are in Arabic and the dataset was developed in conjunction with the University of Leeds
  • Generic items from Saudi Arabia, Kuwait and Jordan including traditional local dishes
  • Branded items 


  • Items are in Norwegian and was developed in conjunction with the University of Agder
  • Generic items from the Norwegian Food Composition Table 2018
  • Branded items


  • Items are in Spanish and was developed in conjunction with the Universidad Peruana Cayetano Heredia
  • Generic items from the Peruvian National Food Composition Tables



  • Generic items from the USDA database


  • Developed in conjunction with the University of Leeds
  • Generic items from African Food Composition Tables

West Africa

  • Developed in conjunction with the University of Leeds
  • Generic and branded items from the region

Baby and infant food databases for the following countries:
  • UK
  • Denmark
  • New Zealand
  • Singapore

Sustainability metrics for the UK 
  • Greenhouse gas emissions
  • Fresh water use
  • Land use



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