To extract data from rent rolls, upload the PDF or spreadsheet to an AI extraction tool like Lido. It reads tenant names, unit numbers, monthly rent, lease start and end dates, security deposits, and vacancy status from any property management format with 99.9% accuracy.
Rent rolls are one of the most commonly requested documents in commercial real estate transactions. Lenders require them for underwriting. Buyers need them for due diligence. Property managers produce them for owner reporting. The problem is that every property management system (Yardi, AppFolio, RealPage, Buildium, or a custom Excel spreadsheet) formats rent rolls differently.
For the broader real estate document processing landscape, see best document processing for real estate and OCR for real estate.
Key fields: Tenant name, unit number/identifier, unit type (1BR, 2BR, commercial), square footage, monthly rent, lease start date, lease end date, security deposit, move-in date, current balance/arrears, vacancy status, and any concessions or free rent periods.
See also best document processing for real estate, OCR for real estate, and best financial document automation.
Yes. Lido reads rent rolls from Yardi, AppFolio, RealPage, Buildium, and custom Excel/PDF formats with 99.9% accuracy. No per-system template setup required.
Tenant names, unit numbers, unit types, square footage, monthly rent, lease dates, security deposits, vacancy status, current balances, and concessions. The AI identifies these fields regardless of how the rent roll is formatted.
Commercial mortgage underwriters extract rent roll data to calculate net operating income, occupancy rates, and rent comparables. AI extraction automates the process of structuring data from the borrower-provided rent roll into the lender's analysis template.
%20(1).svg)
