OCR extraction of Property tax notice
Koncile automatically reads, extracts and structures the tax data from your property tax notices: references, amounts, addresses, calculation details... export in JSON, Excel or via API.
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Automate the processing of tax notices
Koncile automates the extraction of information such as amounts due, tax references, cadastral addresses, and calculation details.
The tool converts your PDFs or scans into structured and reliable data, ready to be integrated into your business systems through efficient intelligent document processing.
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.
Data extracted from property tax notices
This table presents the key fields extracted by Koncile’s OCR from property tax notices.
The data is delivered in structured formats (Excel, JSON, API), ready to be integrated into your accounting or asset management tools. Ideal for real estate companies, accountants, or local authorities handling large volumes of tax documents.
Name | Type | Example | Guideline | |
|---|---|---|---|---|
Validité | Text | Oui | Vérifie que le RIB est bien constitué des éléments suivants : | |
Why choose Koncile OCR to process Property tax notice ?
Try new generation data extraction
Start with a ready-to-use care sheet template, test on a document, and scale
Créez vos modèles d’extraction, testez sur un premier document et passez à l’échelle !
Koncile OCR designed for taxation and real estate
Intelligent reading of all formats
Koncile reads digital PDFs as well as scans or photos of tax notices, with robust recognition of key fields.
Structured data, ready to use
Export your data in Excel, JSON or API format to integrate them directly into your accounting or real estate monitoring tools.
Complete extraction of fiscal fields
Reference of the notice, amount to be paid, address of the property, address of the property, roll number, tax base, additional taxes, due dates, local authority...
Massive and fast treatment
Easily manage large volumes of property tax notices, for a real estate portfolio or a client portfolio.
Designed for accountants, real estate and legaltechs
Koncile is aimed at asset managers, accountants, asset managers, trustees or legaltechs. Automate processing, archive data and use it on a large scale for your tax analyses or reporting obligations.
The OCR API for automate property tax 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
No training on your data
Fully encrypted software
Secure storage of extracted data
RGPD compliant
Discover all the documents to be automated
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Any question?
Contact us at contact@koncile.ai, check out our documentation, or book a demo.
Can OCR process a printed or handwritten property tax notice?
Yes, Koncile OCR can analyze printed or handwritten property tax notices. For handwritten documents, it applies advanced character recognition to ensure the accuracy of the extracted data.
How does OCR extract information from a property tax notice?
Koncile OCR identifies the key elements of a property tax notice, such as the amount to be paid, the tax reference, and the payment deadline.
Can I extract specific information from a property tax notice?
Yes! You can choose to extract specific fields such as the cadastral rental value, the rate applied or the details of the various taxes included.
In what format should I import a property tax notice for OCR analysis?
You can upload your document in PDF, PNG, or JPEG. These formats are compatible with our OCR and allow optimal extraction of tax data. 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.
