Tool for extracting AI requests for building permit

Automate the reading of your PC forms and attachments: reference, address, address, plot, area, project owner, architect...

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Case study
Case study
Case study
Case study

Automatically capture building permit data

Building permit declarations (CERFA forms + PCMI documents) take a long time to process: they mix administrative fields, plans, instructions and appendices, often in PDF or scan.

Koncile OCR automates the extraction of structured data to simplify the verification, classification, monitoring of projects or the establishment of land bases.

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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 information should be included in building permit declarations?

Koncile automatically extracts key data from PCMI forms and documents.

This information is returned in a structured format, ready to integrate your business systems to automate project monitoring, compliance or territorial analysis.

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".

Case number

Code PC 075 123 19 A1234 R Unique permit reference (as indicated in the header of the file).

Filing date

Date 05/05/2025 Date of transmission of the declaration to the administration.

Project address

Text 12 rue des Fleurs, 69003 Lyon Full address of the land or building concerned.

Nature of the project

Multiple choice New construction Choose the type of work carried out.

Architect

Text Sophie Martin architect DPLG Name and title of the contractor or architect.

Applicant (permit holder)

Text Dupont SARL Name of the natural person or company name of the applicant.

Validity of the permit

Date 15/04/2024 – 15/04/2027 Validity period

Special conditions

Text Respect for 5 m setback zones Mention any terms or conditions included in the decision.

Applicable urban planning rules

Text PLU: UA sector Code or reference of the urban planning document (PLU, POS, etc.).
Add your custom fields
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Discover the full extraction template

Why choose Koncile to process urban planning documents?

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An OCR designed for urban planning documents

1

Reliable reading of forms and appendices (PDF, scans)

Koncile reads CERFA 13406* or 13409*, even if scanned or partially handwritten, as well as PCMI parts.

2

Extracting key data from the file

Permit reference, project address, cadastral plot, land area, floor area, beneficiary, architect, nature of the work, intended destination, PLU zone...

3

Structuring ready for integration

Data returned in Excel, JSON format or via API, for integration into your GIS tools, urban planning databases or business ERP.

4

Mass processing of files

Import dozens of building permits at once. Ideal for communities or platforms that deal with large volumes.

5

Cross-analysis of data and documentation consistency

Beyond extraction, Koncile compares the data in the form (address, surface, work...) with that of the attachments (plans, instructions). This makes it possible to detect inconsistencies and oversights, to identify incomplete files and to generate alerts or reports. A real gain in reliability for communities, developers and control actors.

The API to streamline your document management

status
string

Document status can be DONE, DUPLICATE, or IN PROGRESS

document_id
integer

Unique identifier assigned to each document

general_fields
objects

Fields that appear once per document. Returns in the format: {field_name: extracted_value}

Full documentation
Full documentation
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Security and privacy

An AI OCR tool built for regulated environments

Founded by a former lawyer, Koncile was designed with compliance and data protection at its core. We are independently audited under SOC 2 and compliant with GDPR and HIPAA requirements.

Review our security docs
Review our security docs
Illustration d'un document passé au crible par les systèmes de détection de fraude de Koncile
Photos de profil d'experts Koncile, Tristan Thommen, Jules Ratier

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Real life insights on document automation

All our ressources
All our ressources
Procurement

Receipt

Merchant details, purchase details, quantities, prices

Procurement

Pricing grid

Pricing grid or framework agreements

Procurement

Purchase order

Contact details and product details, quantities, and prices

Procurement

Invoice

Supplier details and line-by-line details

Procurement

Quotes

Supplier information and line-by-line details

Procurement

Product catalog

Product name, reference, category, price, stock, stock, description, visuals: extracted by AI, ready to integrate your digital catalog.

Procurement

Delivery note

Delivered address, supplier, delivered products, and quantities

FAQ

All your questions
on Koncile

Koncile OCR automatically detects the key elements of a building permit statement, such as file number, project address, and cadastral references. It thus facilitates the analysis and follow-up of administrative requests.

Yes! You can set up OCR to retrieve only fields such as project area, type of work, or owner contact information.

You can upload your return in the format PDF, PNG, or JPEG. These formats are compatible with our OCR technology and ensure accurate extraction of the information contained in the document.

The software is accessible via a powerful OCR API, with comprehensive documentation available. Plus, you can upload documents directly into the app and export the extracted data to XLSX, XLS, CSV, or JSON for seamless integration into your workflows.

Check our API documentation, contact us at contact@koncile.ai. You can also create a demo account or book a demonstration with our team.

Koncile offers 3 plans, including enterprise options for handling large volumes of data. You can check our pricing on our pricing page.

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.