Reliable and customizable AI OCR software for all your nutritional values

Koncile's AI OCR, a solution for extracting Nutrient Value data, powered by AI, finally reliable, customizable and available as an API.

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The OCR that detects key nutritional data

The OCR for nutritional values from Koncile is ideal for organize and process quickly The information of food labels, by extracting key data Like the calories, macronutrients, allergens, ingredients, and the Energy value. It also allows detect inconsistencies or errors in a large volume of data.

Charge them food labels Under a image format or PDF in the Koncile OCR software and get structured data In format spreadsheet, JSON, or database, easily exploitable by a machine.

Create a Koncile account now
Create a Koncile account now
Pierre Laprée
Founder & CPO at SpendHQ

Koncile automates the intelligent extraction of contractual data. Despite the complexity of our clients’ contracts, the tool ensures quality and speed, saving us valuable time.

Fields captured by our OCR engine specialized in nutritional information

The Koncile OCR solution Capture the essential information on nutritional values, facilitating the work of nutritionists, food manufacturers and health professionals. It allows digitize and structure The nutritional data onwards image files or PDFs.

You can not only extract automatically thanks to intelligent document processing, key information such as calories, macronutrients, allergens, ingredients and energy values, but also analyze and verify them by confronting them with databases Or specific criteria.

Nom

Type

Exemple

Instruction

Validité

Text

Oui

Vérifie que le RIB est bien constitué des éléments suivants :
- Code banque (5 chiffres)
- Code guichet (5 chiffres)
- Numéro de compte (11 caractères alphanumériques)
- Clé RIB (2 chiffres)
Si les RIB est bien constitué de ces éléments, choisis la valeur "Oui". Sinon choisis la valeur "Non".

Calories (kcal)

Number 250 Identify the units “kcal” or “kJ”. Verify that it is a value per 100g or per serving.

Proteins (g)

Number 30

Carbohydrates (g)

Number 50

ingredients

Text wheat flour, sugar, skim milk, eggs, sunflower oil, salt Look for the section that contains “Ingredients.” Separate ingredients by “,” and structure them in the form of a list. Remove any brackets or annotations that could alter the analysis (e.g.: “natural flavor (vanilla)” → “natural flavor, vanilla”).

Allergens

Text gluten, milk, eggs Detect the section containing the allergens (often introduced by “Contains” or “May contain”). Convert allergens into a JSON list to facilitate automatic search. Standardize terms to avoid typographical variations (e.g., “egg” → “egg”).
Add your custom fields
Edit the AI instructions
Discover the full extraction template
Discover the full extraction template

Why choose Koncile OCR for your nutritional values ?

99% reliability

Unparalleled precision for your health documents

AvWith a success rate of over 99%, our OCR engine offers exceptional precision on key fields in health documents.

Whether it is dates, identities, codes, acts or prescriptions, each piece of information is extracted reliably.

Our integrated anomaly detection system allows you to identify errors or inconsistencies in advance, guaranteeing automated quality control and faster decision-making.

OCR integration

Compatible with your health business tools.

Koncile integrates naturally into your digital health environment: connection via API, automatic import from your secure messaging systems or direct synchronization with your business software.

Easily import your documents, launch automated extractions, and retrieve structured data where it's needed: patient records, databases, billing tools.

Whether you use a DPI, Outlook, Excel or hospital software, Koncile adapts to your organization to streamline document management and strengthen your daily efficiency

Experience next-generation data extraction

Start with a ready-to-use nutritional value model, test on a document and scale

An OCR Solution Built for Nutritional Data Capture

1

Automatically extract key nutritional information

Calories, macronutrients, allergens, ingredients, energy values, and more directly from food labels.

2

From Nutritional Labels to a Structured Database

Simplify nutritional data management by converting food packaging into structured, machine-readable information.

3

Multi-Format Processing

Easily process and standardize nutritional information from various formats, including images and PDFs.

4

Nutritional Data Parsing via API

Build a complete, searchable nutritional database integrated into your application and accessible via API to automate food composition analysis.

5

Beyond OCR: Validation and verification of extracted fields

Is the nutritional information accurate? Are the calorie counts correct? Are allergens clearly listed? Do the ingredients comply with regulations? Optimize your food data management with intelligent OCR.

The API to streamline your document management

status
string

Document status can be DONE, DUPLICATE, or IN PROGRESS

document_id
integer

Unique identifier assigned to each document

general_fields
objects

Fields that appear once per document. Returns in the format: {field_name: extracted_value}

Full documentation
Full documentation
Claim my API key
Claim my API key
Security and privacy

An AI OCR tool built for regulated environments

Founded by a former lawyer, Koncile was designed with compliance and data protection at its core. We are independently audited under SOC 2 and compliant with GDPR and HIPAA requirements.

Review our security docs
Review our security docs
Illustration d'un document passé au crible par les systèmes de détection de fraude de Koncile
Photos de profil d'experts Koncile, Tristan Thommen, Jules Ratier

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  • Benchmarks and results from hundreds of clients in your industry
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Our latest ARTICLES

Real life insights on document automation

All our ressources
All our ressources
Procurement

Receipt

Merchant details, purchase details, quantities, prices

Procurement

Pricing grid

Pricing grid or framework agreements

Procurement

Purchase order

Contact details and product details, quantities, and prices

Procurement

Invoice

Supplier details and line-by-line details

Procurement

Quotes

Supplier information and line-by-line details

Procurement

Product catalog

Product name, reference, category, price, stock, stock, description, visuals: extracted by AI, ready to integrate your digital catalog.

Procurement

Delivery note

Delivered address, supplier, delivered products, and quantities

FAQ

All your questions
on Koncile

OCR analyzes nutritional value using computer vision algorithms to detect and read characters. With natural language understanding (NLP), OCR can identify critical information. This process ensures accurate extraction of structured and unstructured data from the document.

Yes, you can extract specific information about nutritional value, such as calories, fats, sugars, ingredients, or allergens. OCR can be set up to extract this data based on the sections or formats you are dealing with.

You can upload your nutrition facts in PDF, PNG, or JPEG format. These formats are compatible with our OCR technology, allowing accurate extraction of the information contained in the document. Consult the documenting for more details on accepted formats and the upload process.

Yes, OCR is capable of processing printed or handwritten nutritional values. If the document is handwritten, OCR uses advanced techniques to recognize handwritten characters and convert them into digital text, while ensuring the accuracy of the extracted data.

The software is accessible via a powerful OCR API, with comprehensive documentation available. Plus, you can upload documents directly into the app and export the extracted data to XLSX, XLS, CSV, or JSON for seamless integration into your workflows.

Check our API documentation, contact us at contact@koncile.ai. You can also create a demo account or book a demonstration with our team.

Koncile offers 3 plans, including enterprise options for handling large volumes of data. You can check our pricing on our pricing page.

In each extraction template, you will find:

  • General fields: These are pieces of information that appear only once in each document (e.g., the invoice number or the invoice date).
  • Repeated fields: These are pieces of information that appear multiple times in a document, such as item descriptions or prices in each line of a quote. Use repeated fields for extracting tables and charts from your documents.