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.

Unlock the power of document automation

Our platform is designed for operation professionals and software vendors who want to optimise their business processes relying on documents. If you want to save time, improve data quality in your systems, and automate complex tasks effortlessly, Mindee is for you.

Reduce manual entry by 88%

Free your workforce from tedious tasks

Decrease average error rate by 30%

Rely on AI you can trust

Cut turnaround time by 57%

Accelerate your business operations

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.

🗺️ What are the supported countries?

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.

🕔 How complicated is it to integrate the API?

Mindee's API follows HTTP standards in order to allow any developer to integrate the Nutrition Facts Label OCR API into their applications easily.

We also offer a set of client libraries in all the main back-end languages, and an open-source UI toolkit that helps create front-end features. You can check out our open-source repository or our API documentation for more details.

📈️ What is the OCR accuracy?

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.

⚡ What's the average API response time?

The processing time is around 1.3 seconds per page for pdfs and 0.9 seconds for a Nutrition Facts Label image.

We often improve this processing time and our target is below 500ms. Our goal is to make sure you can create real-time user experiences in your application.

🎯️ Does the OCR work on low-quality images?

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.

We also use data augmentation to make sure that no blur or ink stains prevent the OCR from reading the data as long as it's readable.

🤓️ Do you offer technical support?

We have a Slack community where you can ask your questions and chat with our team.

We don't do the integration in your infrastructure ourselves but we can set up a custom level of support on a per-case basis if needed.

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