Automate the reading of work stoppages
Koncile extracts data from work stoppage notices, CERFA, certificates and medical forms to simplify HR and pension processing.
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The best teams work with Koncile
What is OCR used for on stop notices?
Work stoppages come in various formats: paper scans, CERFA PDFs, manual certificates. Handling them manually is time consuming and error-prone.
Koncile OCR automatically reads and structures essential data: identity, expiry dates, reasons, prescriber... Ready for integration into your HR tools, HRIS or payroll systems.
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 automatically extracted from work stoppage notifications
Koncile transforms your arrest documents into usable data, ready to be integrated into your HR, payroll or insurance tools. Use our standard field list — or customize it to suit your business needs to extract exactly the information that matters.
Name | Type | Example | Guideline | |
|---|---|---|---|---|
Validité | Text | Oui | Vérifie que le RIB est bien constitué des éléments suivants : | |
Choosing Koncile for your HR documents
Test data extraction new generation
Start with a ready-to-use model, test on a document and scale
Créez vos modèles d’extraction, testez sur un premier document et passez à l’échelle !
The benefits of a data capture solution
Reading a variety of medical documents
Supports standard formats (CERFA) such as free or scanned certificates, including handwritten ones.
Extracting key fields
Employee name, termination date, resumption date, reason, reason, prescriber, Social Security number, attached supporting document...
Structured data ready to use
Export Excel, JSON or API to your HR tools or insurance portals.
Automated tracking and pre-sorting
Spot duplicates, unwarranted absences, or incomplete shutdowns in seconds.
Mass treatment
Perfect for large volumes of stoppages to be processed in HR departments, mutual insurance companies or payroll offices.
The OCR API for automate document management
status
string
Document status, which can be DONE, DUPLICATE, or IN PROGRESS.
document_id
integar
Unique number assigned to each invoice
general_fields
objects
General fields that appear only once in each extracted document. Returned in the format: {field name: extracted value}
line_fields
objects
Repeated fields extracted in bulk for each line or table. Returned in the format: {field name: extracted value}
status
string
Statut du document qui peut être DONE, DUPLICATE, IN PROGRESS.
document_id
integer
Numéro unique attribué pour chaque document
general_fields
objects
Champs généraux apparaissant une seule fois dans chaque document extrait. Retour au format : {nom du champ: valeur extraite}
line_fields
objects
Champs répétés extraits en bloc pour chaque ligne ou chaque tableau. Retour au format : {nom du champ: valeur extraite}
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 | DUPLICATE | IN PROGRESS | FAILED,
"document_id": ID,
"document_name": "name",
"status_message": "",
"General_fields":
{
"Date" : {"value": "05/08/2022", "confidence_score": 0.99},
"Price" : {"value": "$23", "confidence_score": 0.98}
}
,
"Line_fields":
{
"Date" : [{"value": "05/08", "confidence_score": 0.97}, {"value" : "05/08", "confidence_score": 0.98}, ],
"Price" : [{"value": "$23", "confidence_score": 0.98}, {"value": "$12", "confidence_score": 0.97}],
}
}An AI OCR designed for security
Lack of training on your data
Fully encrypted software
Secure storage of extracted data
RGPD compliant
Automate all your HR documents
Human resources
Name, function, type of contract, duration, salary, clauses, signatures
Any question?
Contact us at contact@koncile.ai, check out our documentation, or book a demo.
Can OCR process a printed or handwritten employee's statement of sickness ?
Yes, Koncile OCR supports printed or handwritten work stoppage notices. It applies advanced character recognition technologies to ensure accurate conversion of information into digital format.
How does OCR extract information from a employee’s statement of sickness?
Koncile OCR automatically detects the key data in a stoppage notice, such as the duration of the stoppage, the medical reason, and the contact details of the prescriber. It allows simplified management of administrative documents related to the unavailability of the employee.
Can I extract specific information from a employee's statement of sickness?
Yes! You can choose to extract only fields such as the start and end date of the stop, the expected benefits or the health insurance coverage code.
In what format should I import a employee's statement of sickness for OCR analysis?
You can upload your document in PDF, PNG, or JPEG. These formats are compatible with our OCR technology and ensure reliable extraction of essential information. See documentation for more details.
Comment Koncile s'intègre-t-il avec mes outils et logiciels existants ?
Koncile est accessible via une API puissante, avec une documentation complète disponible. De plus, vous pouvez télécharger des documents directement dans l'application et exporter les données extraites au format XLSX, XLS, CSV ou JSON pour une intégration fluide dans vos flux de travail.
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 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.
