Nutrition Facts Label Processing
Instantly process nutritional info from product labels and packaging to improve apps and streamline your data
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Extract complete nutrition data with one API call
Capture calories, fats, sugars, sodium, protein, and more from standard US nutrition labels with high precision.
Handle diverse label formats
Supports variations in layout, typography, and field placement across different brands and packaging styles.
Ingredient and allergen parsing
Automatically extract full ingredient lists and detect allergen declarations for compliance and filtering.
Designed for software integration:
Developer-friendly API
Clean JSON responses, rich documentation, sandbox keys, and webhook-ready.
Bulk & batch processing
Perfect for scanning thousands of products from CPG catalogs or user uploads.
Works on packaging or scans
Robust image pre-processing ensures quality results even from mobile photos.
Self-host or use our cloud
Choose between fully managed infrastructure or on-premise deployment.
Mindee helps food tech teams and nutrition platforms turn Nutrition Facts into structured data fast:
- Reduce manual entry from packaging
- Capture accurate values for calories, macros, and micronutrients
- Parse ingredients and allergen info at scale
- Validate nutrition claims for compliance
- Populate food product databases automatically
- Enhance diet and fitness app data with verified sources
Transform your workflow with:
Real-time food label parsing
Extract and use data immediately in apps, dashboards, or forms.
Seamless integration
Connect to your CMS, ERP, or nutrition database with ease.
Smarter quality checks
Use confidence scores to detect issues and route to manual review.
Ready for scale
Designed to support everything from startups to enterprise-grade food platforms.
Mindee powers food labeling and health tech with instant OCR for Nutrition Facts:
- Document extraction from product packaging and scanned labels
- Data capture for calories, macros, vitamins, and more
- Verification of label accuracy for QA or compliance
- System syncing with product or regulatory databases
- Exception flagging for incomplete or unreadable fields
- Audit trails for regulatory reporting and product tracking
Purpose-built for food labels
Trained specifically on FDA-style US nutrition labels—no generic OCR.
99%+ field-level accuracy
Reliable even on angled shots, smudged labels, or unconventional layouts.
Ready in minutes
No training or setup needed—just upload and extract.
Affordable at scale
Flexible pricing for large-scale digitization projects.
Secure and private
All data is encrypted, and we never store your images.
Trusted by food tech leaders
Used by apps, marketplaces, and compliance providers in food & nutrition.
nutrition facts label
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Frequently Asked Questions
Common questions about our intelligent document processing solutions.
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.
Nutrition Facts Label : What are the supported countries?
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.
Nutrition Facts Label : How complicated is it to integrate the API?
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.
Nutrition Facts Label : What is the OCR accuracy?
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.
Nutrition Facts Label : What's the average API response time?
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.
Nutrition Facts Label : Does the OCR work on low-quality images?
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.