OCR software designed for real estate

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.

Koncile allows you to import PDF files as well as all common image formats, including PNG and JPEG.

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.

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.

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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.

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:

1. 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.
2. Error reduction: Minimization of human errors, ensuring more reliable data and better management of legal and commercial documents.
3. Increased productivity: Faster processing of real estate documents, enabling teams to focus on higher-value tasks (e.g., contract management, negotiations, transaction follow-ups).
4. Creation of usable databases: Transforming unstructured documents (leases, sale deeds, photos) into structured data, ready for analysis and decision-making.
5. Process optimization: More readily available information improves transaction management, legal compliance, and client tracking.
6. 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.

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.

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.

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.