OCR software designed for real estate
Extracting data from rent receipts, leases, diagnoses and other real estate documents becomes simple. Reliable, fully customizable and available in API.
50 free credits
API & SDK
100% secured

The best teams work with Koncile
What is a real estate OCR solution?
An OCR software (Optical Character Recognition) makes it possible to automatically extract data contained in image or PDF documents, to convert them into usable information.
This technology can be adapted to all types of documents used in real estate management: rental leases, inventories, rent receipts, insurance certificates, expense reports, technical diagnoses, etc.
Automate the management of your real estate documents. Eliminate manual entries and integrate powerful OCR into your existing tools via API, email, or SDK.

For your rental management, choose a precise and efficient OCR.
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Customized extraction of rental data
A simple and intuitive interface to precisely select the fields to be extracted from your real estate documents.
This technology can be adapted to all types of documents used in real estate management: rental leases, inventories, rent receipts, insurance certificates, expense reports, technical diagnoses, etc.
Eliminate manual entries and speed up your document flows with extraction that is perfectly adapted to your needs.

Unparalleled precision for your rental documents
With a success rate of over 99%, our OCR engine guarantees exceptional precision in the essential fields of real estate documents.
Each piece of information is captured reliably, whether it is the names of tenants, dates of signature, rental amounts or cadastral references.
Thanks to our integrated anomaly detection system, you identify errors or inconsistencies (duplicates, missing data, etc.) in advance, for automated quality control and more effective rental management.

Real estate documents scanned or photographed
Whether scanned, photographed or photocopied, your real estate documents are converted into usable data with remarkable reliability thanks to our OCR technology.
Even handwritten inventories, old leases or fuzzy supporting documents can be analyzed using our automatic correction engine.
Unrecognized fields are isolated and sent back to an alert center for manual validation, guaranteeing complete and reliable extraction at each stage of your rental management.

Multilingual OCR for real estate
Our OCR engine, enriched by advanced language models (LLM), recognizes alphabets and languages from around the world with high accuracy.
Chinese, Arabic, Cyrillic, Japanese... Whatever the format or language of the lease, inventory or supporting document, Koncile identifies the key fields and allows you to translate them automatically.
Digitize, extract and centralize data from your rental files with ease, even in a complex multilingual environment.

Handwriting on real estate documents
Our Handwritten OCR detects and interprets handwriting accurately, even under complex conditions: average scan quality, poorly legible handwriting, or incomplete documents.
The tool supports multiple handwritten languages and relies on artificial intelligence models that are trained to recognize various writing styles.
Ideal for processing inventories, handwritten leases, receipts or certificates filled in by hand, while guaranteeing an excellent recognition rate.

Integration with your rental management tools
Koncile integrates perfectly into your real estate management environment : connection via API, automatic import from your emails or synchronization with your business tools (rental management software, CRM, ERP...).
Easily import your leases, inventories or receipts, trigger automatic data extraction, and centralize them where you need them.
Whether you use Excel, Outlook, a solution like Rentila, Lockimmo or custom software, Koncile adapts to your workflow to simplify document management and optimize your operations.
Explore real estate OCR models
Leases, receipts, inventory reports, due notices, accommodation certificates: capture all data via OCR in an exploitable format
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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
Try next-generation data extraction
Create your extraction models for real estate, test on a first document and scale
Your questions about real estate OCR
Need help? Visit our Help Center or contact us at contact@koncile.ai.
Create a demo account or book a live demo with our team.
What is OCR software in the real estate sector?
OCR (Optical Character Recognition) is a technology that enables the transformation of real estate documents, such as contracts, leases, sales deeds, or photos, into editable and searchable text.
It analyzes images of text, identifies the characters, and converts them into editable data. While traditional solutions only transcribe text, advanced tools like Koncile’s OCR go further. With AI and large language models (LLM), Koncile automatically extracts specific information, such as party details, sale or rental amounts, and important dates.
The extracted data is structured and ready to be integrated into your real estate management systems, enhancing the efficiency and accuracy of your processes.
What real estate document formats are supported?
Koncile allows you to import PDF files as well as all common image formats, including PNG and JPEG.
What information should be extracted from a sales agreement or promise of sale for OCR analysis?
The OCR analysis extracts several key pieces of information, such as:
- Parties’ details: names, first names, and contact information of the buyer and seller.
- Property details: address, description, cadastral references.
- Financial terms: sale price, deposits, financing conditions.
- Key dates: signature date, withdrawal period, date of signing the final deed.
- Clauses and legal mentions: suspensive conditions, guarantees, technical diagnostics.
This helps structure the documents, automate processes, and ensure efficient information management.
Is the tool compatible with technical diagnostics (energy performance, electricity, etc.)?
Yes, Koncile can automatically process technical diagnoses such as DPE, electrical, gas or asbestos diagnostics. It extracts key information (dates, results, references, validity...) to facilitate regulatory monitoring, classification and integration into real estate management tools.
How does Koncile integrate with my real estate management tools and software?
Koncile is accessible via an API, with complete documentation. You can also import your real estate documents directly into the application and download the extracted data in XLSX, XLS, CSV, or JSON formats, thus enabling seamless integration into your real estate management systems and workflows.
What are the benefits of an OCR solution in the real estate sector?
An OCR solution (Optical Character Recognition) transforms the management of real estate documents, such as leases, sales agreements, notarized deeds, and property plans. It allows for the extraction of data often lost or difficult to access in scanned documents, PDFs, or images. The main benefits are:
- Significant time savings: Automation of manual data entry, targeted extraction of essential information (sale price, party details, cadastral references). No more searching or retyping information.
- Error reduction: Minimization of human errors, ensuring more reliable data and better management of legal and commercial documents.
- Increased productivity: Faster processing of real estate documents, enabling teams to focus on higher-value tasks (e.g., contract management, negotiations, transaction follow-ups).
- Creation of usable databases: Transforming unstructured documents (leases, sale deeds, photos) into structured data, ready for analysis and decision-making.
- Process optimization: More readily available information improves transaction management, legal compliance, and client tracking.
- Competitive advantage: Better decision-making, streamlined compliance, and smoother real estate document management strengthen your position in the market.
Koncile, through the use of LLMs (Large Language Models), goes beyond traditional OCR by understanding the content of real estate documents, enabling intelligent extraction and seamless integration with your existing real estate management systems.
How does Koncile OCR handle low-quality real estate documents (blurry, poorly scanned)?
Our tool integrates a state-of-the-art OCR engine, optimized by machine learning, to meet the requirements of procurement services. It can accurately extract key data from documents of varying quality, whether they are blurry invoices, poorly scanned purchase orders, or documents with complex layouts (pricing tables, rate grids, specific terms).
Unlike traditional OCR systems, our solution does more than just read characters: it analyzes the document's structure and recognizes the relevant sections for procurement management. With the integration of LLMs (Large Language Models), our tool understands the business context of the documents and can interpret partially legible or ambiguous areas. It can also reconstruct missing information based on the overall content, ensuring reliable extraction, even with poor scan quality.
How can I control the quality of the data extracted by the OCR?
Koncile has a confidence score system that allows you to assess the reliability of the extracted data. This score takes into account several factors, including the readability of the text on the document, the complexity of the query, and the volume of data to process. For example, when a document contains a large amount of information, the extraction quality may be affected. The algorithm analyzes both visual aspects (image quality, text clarity) and semantic aspects (content coherence, contextual recognition) to produce a combined confidence score, helping you identify the most reliable data.
What information should be extracted from rental receipt?
The key information to extract from a receipt includes:
- Parties' details: tenant, landlord, property address.
- Financial details: amount paid, payment period, payment method.
- Date and reference: payment date, receipt number.
This allows for simplified payment management and seamless integration into real estate management systems.