Extract data from Nutritional values
thanks to an AI OCR
Koncile's AI OCR, a solution for extracting Nutrient Value data, powered by AI, finally reliable, customizable and available as an API.
50 free credits
No credit card
100% secured
.png)
The best teams work with Koncile
Analyze & pre-validate nutritional values thanks to intelligent data capture
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.
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.
List of extracted information
The Koncile OCR engine 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 Of 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 : | |
Why Koncile
Tailor the extraction to your needs
Easily add or modify extraction fields in the Koncile parser interface using natural language.
.svg)
Set up Koncile in just one day
Koncile is pre-trained and can be deployed in a single day for all your extraction use cases.
No need for training on large volumes of your data.
Connect Koncile to your tools
Capture data in a structured format such as JSON, XLSX, CSV, or others.
Connect your application via our API. Access the full documentation here.
Try Koncile now
Create your extraction template, test it on a sample document, and scale effortlessly
An OCR Solution Built for Nutritional Data Capture
Automatically extract key nutritional information
Calories, macronutrients, allergens, ingredients, energy values, and more directly from food labels.
From Nutritional Labels to a Structured Database
Simplify nutritional data management by converting food packaging into structured, machine-readable information.
Multi-Format Processing
Easily process and standardize nutritional information from various formats, including images and PDFs.
Nutritional Data Parsing via API
Build a complete, searchable nutritional database integrated into your application and accessible via API to automate food composition analysis.
Automate Your OCR Workflow
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}
line_fields
objects
Repeated fields extracted in bulk for each row or table. Returns in the format: {field_name: extracted_value}
Request
curl api.koncile.ai/tasks/{task_id}/ \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $API_KEY"
response = requests.get(f"{api_url}/tasks/{task_id}/",
headers={"accept": "application/json", "Authorization":{"Bearer{api_key}"})Response
{
"status": DONE,
"document_id": ID,
"General_fields":
{
"Date" : "05/08/20222",
"Price" : "23$",
"Supplier name" : "Koncile",
},
"Line_fields":
{
"Date" : ["05/08/2022", "05/09/2022", "03/02/2023"],
"Price" : ["23$", "12$", "5$"],
}
}Security and privacy by design
No training on your data
Fully encrypted application
Secured data storage
GDPR compliant
.jpg)
.jpg)
Any question?
Contact us at contact@koncile.ai, check out our documentation, or book a demo.
How does OCR extract nutritional information?
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.
Can I extract specific information from a nutritional value?
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.
In what format should I upload nutrition facts for OCR analysis?
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.
Can OCR process nutritional value if it is printed or handwritten?
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.
How does Koncile integrate with my existing tools and software?
Koncile is accessible via an API, with complete documentation available here. Additionally, you can import your documents directly into the application and download the extracted data in XLSX, XLS, CSV, or JSON formats for seamless integration into your workflows.
I need further assistance.
Check our API documentation, contact us at contact@koncile.ai. You can also create a demo account or book a demonstration with our team.
What are Koncile's prices?
Koncile offers 3 plans, including enterprise options for handling large volumes of data. You can check our pricing on the dedicated page in our documentation.
What types of documents can be processed by OCR?
An OCR software, especially an advanced solution like Koncile, can process a wide variety of documents. You can start from our library with all our document templates. Some of the most popular templates include OCR for invoices, OCR for identity documents, and OCR for bank account details (RIB). Here's a list of documents that can be processed by OCR:
Common professional documents:
- Invoices: Supplier invoices, customer invoices, regardless of format (paper, PDF, image) or layout.
- Purchase Orders: Extraction of product details, quantities, prices, etc.
- Delivery Notes: Verification of received goods, tracking of deliveries.
- Contracts: Extraction of key clauses, due dates, and stakeholders.
- HR Documents: Summaries, cover letters, hiring forms, performance evaluations.
- Legal Documents: Leases, non-disclosure agreements, various legal documents.
- Financial Documents: Bank statements, transfer orders, financial reports.
- Marketing Documents: Contact forms, survey responses, coupons.
- Logistics Documents: Bills of lading, transport contracts, road or sea transport invoices.
Handwritten documents:
- Handwritten forms: Questionnaires, surveys, etc.
- Handwritten notes: Notes taken during meetings, annotations on documents.
- Medical prescriptions: Koncile is particularly effective in this area.
- Handwritten tables
- Handwritten lists
Other types of documents:
- Digitized documents: Scanned paper archives (books, newspapers, historical documents).
- Photos of documents: Taken with a smartphone or camera.
- Screenshots: Containing text.
- PDF files: “Image” PDFs (scans) and native PDFs (generated by software).
- Technical documents: Product sheets, manuals.
- Multilingual documents: From any country and written in any language.
What are general fields and repeated fields?
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.
