Underwriting numbers
you can defend.
PropLens turns your T-12s and rent rolls into an underwriting-ready summary you can trust: accurate NOI, occupancy, and rent metrics, ready in minutes instead of hours of re-keying.
See the asset.
Know the numbers.
We don't just read spreadsheets—we understand the physical and financial architecture of your deal. From the ground up, PropLens maps every data point to its real-world counterpart.
Verified in seconds.
Every number is cross-checked against the source document. Matches are marked verified; discrepancies are flagged for review. No more manual re-keying, no more spreadsheet fatigue.
Gross Revenue
Operating Expenses
Net Operating Income
Occupancy
94.2%
WALT
14.8 mo
Loss to Lease
-2.3%
Straight answers to the questions analysts actually ask.
Yardi, RealPage, OneSite, Entrata, MRI, AppFolio — and ad-hoc spreadsheets that didn't come from any PMS at all. If the columns are recognizable, PropLens will find them.
.xlsx, .xls, .csv, and .pdf — including scanned PDFs. Excel and CSV files usually process in under 30 seconds; PDFs take 1–3 minutes because we extract the tables page by page.
Yes — every cell in the worksheet is click-to-edit. Your edits are saved as overrides layered on top of the extracted data, so nothing is ever overwritten: you can revert any single cell, or all of them, back to the original extracted value at any time.
PropLens checks its own work. Every extraction is compared against the totals printed in the document itself — unit count, square footage, and rent totals for rent rolls; income, expense, and NOI totals for T-12s. Matches are marked verified; any difference is flagged in amber for your review instead of being hidden. When we can't find a comparable total in the document, we say so plainly instead of implying a check we didn't make.
No. Never.
Ready to underwrite the future?
Upload the T-12 and rent roll you're working on right now and see every number checked against the document itself.
Free during beta · No credit card · Your data never trains AI models