Property managers and real estate investors handle thousands of pages of lease agreements and rent rolls. These documents are often unstructured, multi-page, and contain complex clauses. SolveOCR's Hopper-V2 engine is designed to parse these documents into structured JSON data for high-performance automation.
Rent Roll Extraction
Rent rolls are often presented as multi-column tables with:
- Unit Numbers: Often inconsistently formatted.
- Tenant Names: Hand-signed or cursive.
- Monthly Rents: Often requiring logic to calculate totals.
The Lease Agreement Data
Using the /v1/extract endpoint with the lease-v1 model, you can instantly turn a 50-page agreement into a digital record:
{
"document_type": "lease_agreement",
"property_address": "123 Main St, San Francisco, CA",
"tenant_name": "John Doe",
"lease_term": "12 months",
"rent_amount": 2500,
"security_deposit": 5000,
"signing_date": "2026-01-01"
}
Scaling Property Portfolios
With our 10k page batch endpoint, you can clear an entire portfolio's lease paperwork in minutes. No more manual entry. No more data gaps.