Extract rental liability insurance certificate data

Koncile automatically reads and extracts the key data from a rental insurance certificate: name of the insured person, address of the property, contract number, warranty period, coverage amount... Exportable in Excel, JSON or via API.

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Rental liability insurance certificateRental liability insurance certificate

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Automate the management of rental liability insurance certificates

Koncile's OCR extracts key data from a rental liability insurance certificate (insured, well covered, warranty period, contract number, coverage amounts...) and structures for direct integration into your tools.

Rental liability insurance certificate

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.

Tax data extracted from rental liability insurance

This table gives you an overview of the fields that Koncile OCR automatically extracts from a rental liability insurance certificate. This data is returned in a structured format (Excel, JSON, API) for smooth integration into your rental management, accounting or archiving tools. Perfect for real estate actors, insurance companies or property managers wishing to automate the processing of these documents in a controlled document flow. Find out how you can save time managing your certificates.

Name

Type

Example

Guideline

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".

Name of the insured

Text Martin Dupont Look for the full name after “Insured”, “Tenant name” or in the line “We undersigned certify that Mr./Mrs...”

Cover start date

Date 01/01/2025 The date is usually after “Cover Start.”

End of cover date

Date 31/12/2025 The date is usually after “End of cover.”

Guarantee amount

Price 150,000 Search for “civil liability insurance”, “guarantee limit”, “guaranteed amount”

Use of the property

Text Residential use Look for terms like “property use”, “rental use”, “residential”

Date of issue of the certificate

Date 15/12/2023 Search for “done on”, “certification issued on”, “as of”

Guarantees included

Text Fire, water damage, explosion Look for a list under a “covered guarantees”, “insured risks”, or “includes the following guarantees” section

Valid insurance

Boolean True If today's date is within the detected validity period, return true, otherwise false

Landlord mentioned

Text SCI Leclerc Identify if a beneficiary (lessor) is mentioned by “for the benefit of”, “for the attention of”, “beneficiary”
Flèche courbée vers le haut.

Add any extraction field

Flèche courbée vers le haut.

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Choosing Koncile for your insurance documents

scanned insurance certificate

Insurance documents scanned or photographed

Whether scanned, photographed, or submitted by policyholders, your insurance documents are converted into usable data with remarkable reliability thanks to our OCR technology.

Even old contracts, handwritten declarations, blurry or poorly framed documents can be accurately analyzed thanks to our automatic correction engine.

Unrecognized fields are isolated and sent to our control center for manual validation or processing, ensuring a high level of completeness and reliability in your insurance workflows.

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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 !

An OCR adapted for insurance documents

Smart reading of PDF or scanned documents

Koncile detects insurance data even on partial, poorly readable or non-standardized scans.

Data ready for analysis

The results can be exported in Excel, JSON or API for direct integration into your tax, accounting or consolidation tools.

Complete extraction of fields

Name of the insured, address of the property, contract number, warranty period, coverage amount

Error-free mass processing

Automate the processing of tens or hundreds of 2065 forms with consistent extraction.

Designed for tax professionals

Whether you are in a firm, financial department, legaltech or SaaS publisher, Koncile makes it reliable to extract data from rental certificates in one click.

The OCR API for automate document management

No items found.

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

Cadenas noir entouré d'étoiles noires.

Automate all your insurance documents

SEE ALL TEMPLATES
Amicable Auto Report

Insurance

Vehicles, dates, damages, signatures, signatures, signatures, signatures, circumstances, sketches, checked areas

Extraction Insurance
Claim

Insurance

Claim number, date, amount, amount, type, contract, attachment.

Certificate of
Liability Insurance

Insurance

Type of insurance, guarantees, amounts, deadlines, deductibles

Home insurance certificate thumbnails

Insurance

Proof of insurance coverage

Any question?

Contact us at contact@koncile.ai, check out our documentation, or book a demo.

How does OCR extract information from a rental liability insurance certificate?

Koncile OCR automatically detects key elements of the document, such as the name of the policyholder, the coverage period, and the guarantees included. It thus facilitates the management of rental insurance.

Can OCR process a printed or handwritten rental liability insurance certificate?

Yes, Koncile OCR supports printed or handwritten insurance certificates. It applies advanced character recognition technologies to ensure accurate conversion of essential information.

Can I extract specific information from a rental liability insurance certificate?

Yes! You can set up OCR to retrieve only fields such as the coverage amount, the type of risks covered, or the contract number, depending on your needs.

In what format should I import a rental liability insurance certificate for OCR analysis?

You can upload your document in PDF, PNG, or JPEG. These formats ensure optimal compatibility with our OCR technology and guarantee reliable data extraction. Consult the documenting for more details.

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.

What is Koncile’s pricing structure?

Koncile offers three plans, including enterprise options for handling large data volumes. Check out our pricing on the dedicated page in our documentation.

What are “General Fields” and “Repeated Fields”?

In each extraction template, you’ll find:

General fields: These are pieces of information that appear only once per document (e.g., an invoice number or date).

Repeated fields: These are elements that appear multiple times within a document, such as item descriptions or prices in each line of a quote. Use repeated fields to extract tables and structured data from your documents.