Lease abstraction API that reads rent, dates and every clause

A lease agreement is a contract in which the owner of a property, the lessor or landlord, grants another party, the lessee or tenant, the right to use it for a set period in exchange for rent. It typically specifies the parties, the property, the start and end dates, the rent and payment schedule, the security deposit, rent increases, renewal and termination options, and who pays which costs. Leases cover homes, offices, retail spaces and warehouses, as well as equipment and vehicles. Mindee extracts these key terms from residential and commercial leases and returns them as structured JSON.

Lease abstraction is the process of summarizing the key data of a lease into a standard format, often called a lease abstract. It usually covers the parties, the premises, critical dates (commencement, expiry, renewal and break options, notice deadlines), rent and escalations, expense responsibilities and specific clauses. Property managers, corporate real estate teams, investors and lenders rely on it to manage portfolios and carry out due diligence. Done manually, abstracting a single commercial lease can take hours. Mindee automates this extraction, with a confidence score and the location in the document for each field, so your team only needs to review the results.

In a triple net (NNN) lease, the tenant pays base rent plus its share of property taxes, insurance and maintenance. In a gross lease, the landlord covers these costs and charges a single, all-inclusive rent, and a modified gross lease splits them between both parties. The lease type determines how much a tenant really pays and how operating costs are recovered each year. Mindee extracts the clauses that define who pays for taxes, insurance, maintenance and common area costs, so you can identify the lease structure and calculate the true cost of each lease across your portfolio.

Under IFRS 16 and ASC 842, companies must recognize most of their leases on the balance sheet as a right-of-use asset and a lease liability. Calculating these amounts requires precise data from each lease: the commencement date, the lease term, including renewal or termination options, the payment schedule, rent escalations and any incentives. For companies with hundreds of leases, collecting this data is a major effort, and errors directly affect the financial statements. Mindee extracts these inputs from each lease, so your finance team can feed its lease accounting software without retyping every contract.

Yes, your data is highly secured and protected during the entire conversion process. As an enterprise-grade OCR solution, Mindee takes data privacy very seriously. Here are the key security measures in place:

• Certified compliance: Mindee's infrastructure is SOC 2 Type II certified and fully GDPR compliant, ensuring strict industry standards for data protection.
• Encryption: All documents and extracted data are fully encrypted both in transit (during the API call) and at rest.
• Data localization: You have control over where your data is processed, with the option to host and process your data on either EU or US servers.
• Strict privacy: Mindee respects data confidentiality. Your processed documents are not shared with third parties, and your private data is not used to train global AI models.

In short, your sensitive documents are processed in a secure, isolated environment and remain completely under your control.

We provide a 14 days free trial so you can fully test any of our OCR models — no credit card required. After this, we offer different pricing tiers depending of the volume of pages processed and the features you might need. See the pricing page for more information.

The supported document formats are:

• PDF (application/pdf) – While technically a document format rather than an image, it is natively supported for all extraction models.
• JPEG / JPG (image/jpeg)
• PNG (image/png) – Must be non-animated.
• WebP (image/webp)
• TIFF / TIF (image/tiff) – Both single-page and multi-page TIFFs are supported and processed similarly to PDFs.
• HEIC (image/heic) – Apple's High-Efficiency Image Container format.

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📌 Important technical limitations to keep in mind:

To ensure the OCR pipeline runs smoothly and successfully returns your JSON, make sure your files adhere to the following constraints:

• Maximum file size: 100 MB per file.
• Maximum page count: Up to 200 pages per document.
• File state: The files cannot be encrypted, and PDFs must not be password-protected.