Nutrition Facts Label Processing
Instantly process nutritional info from product labels and packaging to improve apps and streamline your data
Built for Nutrition Facts Label data extraction
Mindee’s platform automates the extraction and management of nutrition facts label data, reducing manual entry, ensuring compliance, and enhancing product data accuracy. This makes handling nutritional information faster, more reliable, and highly efficient.
Automate Nutrition Facts Data Extraction
Our Nutrition Facts Label OCR technology automatically extracts essential information from nutrition labels, such as serving sizes, calorie counts, macronutrients, and ingredient lists. This eliminates the need for manual data entry, saving time and reducing errors. Ensure all critical nutritional data is captured accurately for reliable analysis and reporting.
Streamline Product Data Management
Integrate our Nutrition Facts Label OCR solution into your product data management systems to streamline the handling of nutrition information. Automatically organize and categorize extracted data in real-time, reducing the administrative workload and enhancing efficiency. Easily manage large volumes of product labels with higher accuracy and less manual effort.
Ensure Compliance and Transparency
Maintain compliance with food labeling regulations and enhance transparency by digitizing and securely storing nutrition facts data using our OCR solution. Simplify audits and ensure accurate, up-to-date nutritional information is accessible and organized. Confidently manage your product data while meeting regulatory standards for transparency and accuracy.
Improve Product Analysis and Customer Insights
Our Nutrition Facts Label OCR provides structured data that can be easily integrated into your product analysis and customer information systems. Leverage accurate, real-time data to enhance product comparisons, dietary recommendations, and customer insights. Make informed, data-driven decisions to optimize product offerings and marketing strategies.
Libérez la puissance de l'automatisation des documents
Notre plateforme est conçue pour les professionnels des opérations et les éditeurs de logiciels qui souhaitent optimiser leurs processus reposant sur des documents. Si vous souhaitez gagner du temps, améliorer la qualité des données dans vos systèmes et automatiser des tâches complexes sans effort, Mindee est fait pour vous.
Réduction de 88 % des saisies
Libérez vos employés des tâches fastidieuses
Diminution du taux d'erreur moyen de 30%
Appuyez vous sur une IA de confiance
Réduction des délais de 57 %
Accélérez vos opérations
Nutrition Facts Label OCR extracted fields
Our AI analyzes the labels and packaging, pulling all the fields you need to capture accurately
Serving Information
Capture details about the number of servings in a package and the size of one serving
Caloric Content
Determine the energy provided per serving
Fat Content
Capture information on different kinds of fats present in the product, such as total fat, saturated fat, and trans fat
Carbohydrate Content
Extract the total carbohydrates, fiber, and sugars, including added sugars
Protein and Sodium Content
Identify protein and sodium levels in each serving of the product
Essential Nutrients
Record vitamins and minerals essential for health, such as Vitamin D, Calcium, Iron, Potassium, and more
The right Nutrition Facts Label OCR for your application
Finding the right OCR technology to use for your project can be a heavy task. Whatever your use case is, criteria like extraction performances, response time, integration time, pricing, scalability... should be taken into account in order to maximize the added value in your software. Feel free to contact us if you don't find the answers to your questions below.
📄 How can I test the Nutrition Facts Label OCR API?
Our Nutrition Facts Label API is free to use and available to any user having an account on our platform.
To test our APIs, you only have to create a free account using this link, and you'll be able to drag and drop Nutrition Facts Labels in the live interface to see the data extracted in real-time and JSON response. A demo page is also available here.
💸 Is Mindee's Nutrition Facts Label OCR API free to use?
A free plan is available to everyone and allows you to perform 250 Nutrition Facts Labels processing per month for free. No credit card is required.
Above 250 images per month, the price per images processed starts at $0.10 and can decrease to $0.01 per receipt depending on the monthly volume. See the pricing page for more information.
🗺️ Quels sont les pays supportés ?
Our Nutrition Facts Label OCR API is based on our computer vision technology that doesn't rely on text to extract the receipt data, but only on the image. This removes the language limitations.
The OCR was trained with Nutrition Facts Label from more than 50 countries and works on Nutrition Facts Label from all around the world for numeric fields, and all Latin alphabet countries for text ones.
🕔 L'intégration de l'API est-elle compliquée ?
Mindee's API follows HTTP standards in order to allow any developer to integrate the Nutrition Facts Label OCR API into their applications easily.
Nous proposons également un ensemble de bibliothèques clientes dans tous les principaux langages back-end, ainsi qu'une boîte à outils open-source pour l'interface utilisateur, qui permet de créer des fonctionnalités frontales. Vous pouvez consulter notre référentiel open-source ou la documentation de notre API pour plus de détails.
📈️ Quelle est la précision de l'OCR ?
Our Nutrition Facts Label OCR's accuracy is above 90%, with precision above 95% for most of the fields. These performances are computed on a data set including more than 50 countries.
Testing our OCR API is free, all you need is an account. Feel free to drop Nutrition Facts Label in the live interface to see the OCR performance on your data.
⚡ Quel est le temps de réponse moyen de l'API ?
The processing time is around 1.3 seconds per page for pdfs and 0.9 seconds for a Nutrition Facts Label image.
Nous améliorons souvent ce temps de traitement et notre objectif est de descendre en dessous de 500 ms. Notre objectif est de faire en sorte que vous puissiez créer des expériences utilisateur en temps réel dans votre application.
🎯️ L'OCR fonctionne-t-il sur des images de faible qualité ?
Yes, the OCR was trained on a lot of Nutrition Facts Labels from a wide variety of layouts and image quality and learned to process the most complex ones.
Nous utilisons également l'augmentation des données pour nous assurer qu'aucun flou ni aucune tache d'encre n'empêche l'OCR de lire les données, pour autant qu'elles soient lisibles.
🤓️ Proposez-vous une assistance technique ?
Nous avons une communauté Slack où vous pouvez poser vos questions et discuter avec notre équipe.
Nous ne procédons pas nous-mêmes à l'intégration dans votre infrastructure, mais nous pouvons mettre en place un niveau d'assistance personnalisé au cas par cas, si nécessaire.
Ce n'est pas ce que vous recherchez ? Nous avons d'autres API d'extraction de documents
Document Financier
Capturez les informations clés des documents financiers, telles que les dates de transaction, les montants et les numéros de compte. Parfait pour la comptabilité et les rapports financiers.