Extract data from reservation agreement
thanks to an AI OCR

Koncile's AI OCR, a solution for extracting data from reservation agreement, powered by AI, finally reliable, customizable and available as an API.

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The best teams work with Koncile

Analyze & pre-validate reservation agreement thanks to intelligent data capture

THE OCR reservation contract by Koncile is ideal for quickly organizing and processing your real estate reservation documents, by extracting key information such as the name of the reserver, the lot concerned, the price, the deadlines or the suspensive conditions.
It also allows detect important elements or inconsistencies in a large volume of agreement.

Upload reservation agreement 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 tools or business flows.

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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.

List of extracted information

Koncile's OCR engine captures the essential information that customers are looking for developers, notaries, lessors or property managers.
It allows build a reliable and structured database based on reservation agreement, from image files or PDFs.


You can not only automatically capture key data (reserver, lot, price, dates, clauses...), and convert them to the format of your choice (XLS, JSON, database), but also the analyze automatically, by comparing them with your internal criteria: compliance grid, contractual conditions, legal or commercial consistency.

Nom

Type

Exemple

Instruction

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".

Purchaser name

Text DUPONT Claire Extract the full name of the purchaser (s) mentioned in the contract.

Name of the promoter

Text Horizon Real Estate Identify the professional promoter or seller signing the contract.

Property address

Text Apartment B12, Residence Les Jardins, 75012 Paris Extract the complete address of the lot or real estate object of the reservation.

Unit reference

Text Lot B12/Building B Extract the designation or reference of the reserved lot.

Sale price incl. VAT

Price 298,000 Identify the total sales price including all taxes indicated in the contract.

Deposit amount (€)

Price 5,000 Extract the amount of the deposit to be paid upon signing the contract.

Date de signature

Date March 14, 2025 Extract the date indicated for the signing of the compromise

Expected delivery date

Date 2nd quarter 2026 Extract the expected delivery date or period of the reserved item.

Contract validity period

Text 10 days from receipt Extract the validity period of the contract or the planned withdrawal period.

Conditions suspensives

Text Obtaining a loan of €250,000 within 45 days Look for clauses beginning with “under the condition of...”
Flèche courbée vers le haut.

Add any extraction field

Flèche courbée vers le haut.

Edit AI instructions

Pourquoi Koncile ?

Tailor the extraction to your needs

Easily add or modify extraction fields in the Koncile parser interface using natural language.

Champ à extraire : référence produit.

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.

Vignette de vidéo extraction de document.

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.

Liste des formats de document.
Logo de Koncile.

Testez Koncile dès maintenant

Créez vos modèles d’extraction, testez sur un premier document et passez à l’échelle !

An OCR solution adapted to the capture of legal data

Automatic extraction of information from the reservation contract:

Name of the reserver, promoter, reserved lot, property address, address of the property, address of the property, sale price, deposit, suspensive conditions, signature date, withdrawal period, estimated delivery, etc. Koncile automatically extracts key data from paper or digital reservation agreement (PDF, scan, photo...).

From the reservation contract to a database

Facilitate the management of your real estate contractual documents by transforming your reservation agreement into structured and usable data, ready to be integrated into your business tools (CRM developer, ERP, ERP, reservation solution, VEFA compliance, etc.).

Multi-format processing

Easily manage and standardize the information contained in your reservation agreement, regardless of the source: handwritten version, scanned document, notarized PDF or CRM export. Koncile OCR allows you to extract all this data without manual re-entry.

Parsing reservation agreement via API

Create a centralized reservation database, interfaced with your tools via our OCR API. Track the history of signatures, automate extractions for internal processing, customer relationships or regulatory audits.

Automate your OCR workflow

Is the contract complete? Is the booked lot at the right price? Are suspensive clauses identified? Are the dates consistent with the delivery times? Koncile allows you to automate the reading, structuring, verification and validation of the key data of a reservation contract, for fast, reliable and compliant processing.

L’API pour automatiser votre gestion documentaire

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,
  "document_id": ID,
  "General_fields":
    {
      "Date" : "05/08/20222",
      "Price" : "23$",
      "Supplier name" : "Koncile",
    },
  "Line_fields":
    {
      "Date" : ["05/08/2022", "05/09/2022", "03/02/2023"],
      "Price" : ["23$", "12$", "5$"],
    }
}

Security and privacy by design

No training on your data

Fully encrypted application

Secured data storage

GDPR compliant

Cadenas noir entouré d'étoiles noires.

Explore our template library

SEE ALL TEMPLATES
Status report OCR OCR status report automatic reading state of situation data extraction state of situation model state of situation model state of situation PDF text recognition state of situation automated processing documents trustee structuring status digitization statement of situation digitization statement of situation digitalization status report digitization status of situation information to be extracted in a state of situation information to be extracted in a state of situation co-owner information to be extracted in a state of situation co-owner statement of situation information to be extracted in a state of situation co-owner statement of situation report Co-owner account statement real estate OCR AI real estate automation real estate automation documents rental management documents JSON extraction status extract status into Excel API OCR real estate software OCR document trustee structuring real estate accountant text structuring capture of custom fields PDF syndic export custom fields capture PDF syndic export accounting data OCR export accounting data OCR export accounting data OCR document processing PDF document processing OCR image mixed text status co-ownership analysis Smart reading union documents

Real estate

Co-owner, lot number, amount of charges, period, trustee...

Sales agreement OCR sales agreement automatic reading sales agreement data extraction sales agreement data extraction sales agreement template PDF text recognition sales agreement automated processing legal documents structuring sales agreement digitization bill of sale digitization sales document digitization sales agreement digitization sales agreement digitization sales agreement information to be extracted in a sales agreement sale agreement stakeholders stakeholders sales compromise sale agreement real estate sale price real estate sale price withdrawal period withdrawal conditions suspensive clause criminal act private signature date signature date notary real estate sale financing real estate purchase promise of sale vs sales agreement OCR sales agreement OCR AI real estate automation real estate documents extraction JSON sales agreement convert sales compromise in Excel API real estate OCR software OCR software notarial document structuring legal text structuring legal text capture custom fields capture PDF export legal data OCR legal data OCR legal data OCR export legal data OCR legal data OCR export legal data OCR legal data OCR legal data OCR processing legal data OCR legal data OCR legal data OCR legal data OCR automation document processing PDF legal data OCR automation document processing PDF legal data OCR legal data OCR automation document processing PDF legal data OCR legal data OCR automation document processing PDF legal data OCR legal data OCR legal data OCR legal data OCR legal data logistics

Real estate

Identity of the parties, Address of the property, Sale price, Sales price, Conditions suspensive, Key dates, Notarial references

Rent receipt thumbnails

Real estate

Partial or standard rent receipts

Any question?

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

How does OCR extract information from a reservation agreement?

OCR analyzes the care sheet using computer vision algorithms to detect and read characters. With natural language understanding (NLP), OCR can identify critical information. This process ensures accurate extraction of structured and unstructured data from the document.

Can I extract specific information from a reservation agreement?

Yes, you can extract specific information from a reservation agreement, such as the name of the reserver, the promoter, the reserved lot, the price, the suspensive conditions, the key dates or the terms of payment.
OCR can be configured to extract this data based on sections of the document or contract format that you are treating.

In what format should I upload a reservation agreement for OCR analysis?

You can upload your reservation contracts in PDF, PNG, or JPEG format. 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.

Can OCR process a reservation agreement if it is printed or handwritten?

If the document is handwritten or partially annotated, our OCR uses advanced handwriting recognition techniques to convert information into digital text, while ensuring a accurate and reliable extraction contractual data.

How does Koncile integrate with my existing tools and software?

Koncile is accessible via a powerful API, with full documentation available here. 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.