AI tool for extracting claims
Automate the reading of your claims thanks to AI: file number, date, date, nature, amount, documents... Data ready to be integrated into your business tools.
50 free credits
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The best teams work with Koncile
Why automate claim management?
Insurance claims often arrive as PDFs or low-quality scans. Koncile’s AI-powered OCR automatically extracts key data, structures it, and thus facilitates pre-sorting, analysis, and rapid file creation.
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.
What fields are detected by the Koncile OCR tool?
Koncile extracts key data from a claim form or letter and delivers it in a structured format.
This enables intelligent document processing, accelerates validation, and ensures reliable recording of claims within your systems.
Need to extract specific fields? The model is fully customizable to your business needs.
Name | Type | Example | Guideline | |
|---|---|---|---|---|
Validité | Text | Oui | Vérifie que le RIB est bien constitué des éléments suivants : | |
Why choose Koncile to process insurance documents?
Test new generation data extraction
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 an OCR data capture tool
Intelligent reading of all declaration formats
Koncile reads claims from PDF forms, photos, emails or scanned documents — even handwritten or poorly structured.
Targeted extraction of critical data
Claim number, type of incident, date, estimated amount, insured contact information, contract number, and associated supporting documents.
Seamless integration into your insurance tools
The extracted data is ready to use, exportable in JSON, Excel or via API to your claims management tools, CRM or treatment platforms.
Automating pre-sorting and filing
Automatically categorize and assign cases according to their type, priority, or completeness. Ideal for saving time in the back office or on high-volume platforms.
Processing of related supporting documents
Link photos, findings, expert reports or other supporting documents to the right files, for complete and centralized processing.
The OCR API for automate your PDF data capture
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
No training on your data
Fully encrypted software
Secure storage of extracted data
RGPD compliant
Discover all the documents to be automated
Insurance
Name of the insured, address of the property, contract number, warranty period, coverage amount
Insurance
Vehicles, dates, damages, signatures, signatures, signatures, signatures, circumstances, sketches, checked areas
Insurance
Type of insurance, guarantees, amounts, deadlines, deductibles
Any question?
Contact us at contact@koncile.ai, check out our documentation, or book a demo.
How does OCR extract information from an insurance claim?
Koncile OCR identifies the essential data of a claim, such as the name of the declarant, the nature of the claim, and the amounts declared for compensation.
Can OCR process a printed or handwritten insurance claim?
Yes, Koncile OCR is capable of processing printed or handwritten claims. It uses advanced character recognition to ensure accurate data extraction.
Can I extract specific information from an insurance claim?
Yes! You can retrieve only fields such as the date of the claim, applicable guarantees, or insurance contract references, depending on analysis needs.
In what format should I import an insurance claim report for OCR analysis?
You can upload your claim in the format PDF, PNG, or JPEG. These formats are compatible with our OCR and allow detailed extraction of information related to the incident. 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.
