Reliable and customizable AI OCR software for all your property status reports
Koncile's AI OCR, a solution for extracting data from property status report, powered by AI, finally reliable, customizable and available as an API.
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An OCR solution that identifies key information in property status reports
OCR for property status report by Koncile is ideal for quickly organizing and processing information from condominium management documents, by extracting key data such as the amount of charges, the name of the co-owner, the lot number, the reference period or the name of the trustee.
It also allows detect inconsistencies or errors in a large volume of documents.
Upload status reports in image or PDF format into the Koncile OCR software, and get structured data In format spreadsheet, JSON, or database, directly usable by your management or reminder tools.
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.
Comprehensive field extraction from property status report using our specialized OCR engine.
Koncile’s OCR solution captures the key information from each statement of account, streamlining the work of property managers, landlords, and real estate professionals.
Powered by an advanced optical character recognition engine, it digitizes and structures data from image or PDF files.
Not only can it automatically extract essential details such as charge amounts, co-owner names, unit numbers, or reference periods, but thanks to intelligent document processing it also checks data consistency by applying large-scale accounting automation logic.
Name | Type | Example | Guideline | |
|---|---|---|---|---|
Validité | Text | Oui | Vérifie que le RIB est bien constitué des éléments suivants : | |
Why choose Koncile OCR for your property status report ?
Tailor the extraction to your needs
Easily add or modify extraction fields in the Koncile parser interface using natural language.
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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 next-generation data extraction
Start from a property status report, test it and scale it
Créez vos modèles d’extraction, testez sur un premier document et passez à l’échelle !
An OCR solution adapted for the capture of accounting and real estate data
Automatic extraction of information from property status report:
Name of the co-owner, lot number, amount of charges, charges, calls for funds, balance to be paid, reference period, name of the trustee, etc. Koncile automatically extracts key data from paper or digital status reports.
From status reports to a database
Facilitate the management of condominium documents by transforming your property status report into structured and usable data, ready to be integrated into your management systems (ERP, rental tracking tool, CRM, CRM, recovery platform, etc.).
Multi-format processing
Easily manage and standardize the information contained in your status reports, whether in image, paper scan, or PDF format. Koncile OCR allows you to easily extract information from it, regardless of its source.
Parsing status reports via API
Create a complete database of status reports and integrate it into your tools via API. Automate the recording of property status report, the monitoring of payments, or the identification of late payments.
Beyond OCR: Validation & control of extracted data
Is the amount of charges consistent? Does the balance correspond to the payments made? Are the calls for funds up to date? Optimize the management of your status reports with Koncile intelligent OCR, which automates the reading, verification and validation of data.
The OCR API to automate the management of property status report
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
Explore our library of ready-to-automate templates
Real estate
Label: energy, GHG, annual consumption, recommendations
Real estate
Identity of the parties, Address of the property, Sale price, Sales price, Conditions suspensive, Key dates, Notarial references
Any question?
Contact us at contact@koncile.ai, check out our documentation, or book a demo.
How does OCR extract information from a property status report
OCR analyzes the situation using computer vision algorithms to detect and read characters. Thanks to natural language understanding (NLP), it can identify key information such as co-owner, amounts, reference period, or balances. This process ensures reliable extraction of structured and unstructured data from the document.
Can I extract specific information from a property status report?
Yes, you can extract specific information such as the name of the co-owner, the lot number, the charges due, the calls for funds, the period concerned or the name of the trustee. OCR can be configured to adapt to different union document formats and structures.
Can OCR process a property status report if it is printed or handwritten?
Yes, OCR is capable of processing property status report, whether printed or handwritten. It uses advanced recognition techniques to convert handwriting into digital text with great precision.
In what format should I upload a property status report for OCR analysis?
You can upload your status reports in PDF, PNG, or JPEG. 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.
How does Koncile integrate with my existing tools and software?
Koncile is accessible via an API. Check our full OCR documentation. Additionally, you can upload documents directly in the app and download 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 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.
