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Uptiq's Document AI extracts each comparable property's address, year built, building class, rentable square footage, unit mix, parking ratio, and current occupancy from an appraisal or broker package, structuring the full comp set as rows in the credit file.
Trusted by financial institutions across banking, lending & credit
What Is This
A property comparables analysis profiles competing properties against the subject on physical and operating characteristics — year built, building class, size, amenities, parking ratio, and occupancy — forming the comp set that supports both the income and sales-comparison approaches.
Uptiq's Document AI extracts each comparable property's address, year built, building class, rentable square footage, unit mix, parking ratio, and current occupancy from an appraisal or broker package, structuring the full comp set as rows in the credit file.
Comp set profiles are laid out as one-page photo sheets per property, so no two properties share a common field grid
The Solution
Uptiq's Document AI extracts each comparable property's address, year built, building class, rentable square footage, unit mix, parking ratio, and current occupancy from an appraisal or broker package, structuring the full comp set as rows in the credit file.
The result: your team spends time on judgment calls, not re-keying property comparables data — measured across production deployments.
What Uptiq Extracts
A sample of the structured fields Uptiq's Document AI captures from this document type.
| Field | Example |
|---|---|
| Comparable Address | 1420 Meridian Ave |
| Year Built / Renovated | 1998 / 2021 |
| Building Class | Class B |
| Rentable Square Feet | 148,000 SF |
| Occupancy at Comp | 91% |
| Distance from Subject | 1.8 miles |
| Parking Ratio | 3.2 per 1,000 SF |
| Unit Mix / Tenancy | 84 units, 1BR–3BR |
{
"comparable_address": "1420 Meridian Ave",
"year_built_renovated": "1998 / 2021",
"building_class": "Class B",
"rentable_square_feet": "148,000 SF",
"occupancy_at_comp": "91%",
"distance_from_subject": "1.8 miles"
}Key Benefits
Uptiq's Document AI extracts each comparable property's address, year built, building class, rentable square footage, unit mix, parking ratio, and current occupancy from an appraisal or broker package, structuring the full comp set as rows in the credit file.
Comp set profiles are laid out as one-page photo sheets per property, so no two properties share a common field grid
Parking ratios, amenity lists, and unit mixes are written as prose captions rather than countable fields
Every extracted field traces back to its source page — examiner-ready documentation, every time.
100+ native integrations across loan origination systems, cores, and workflows. No new infrastructure.
Process more property comparables volume with your existing team as application volume grows.
Proven at Scale
Results represent aggregate outcomes across production deployments. Individual results may vary.
How It Works
The property comparables arrives via email, portal, or upload. AI classifies it automatically.
Fields are extracted at 95%+ accuracy with full data lineage back to the source page.
Derived metrics and ratios are calculated automatically from extracted figures.
Structured, extracted data lands in your existing loan origination or servicing system.
Common Questions
Related Document Types
Book a 30-minute session. We'll run a live extraction demo on your own property comparables documents.
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