Extract offering memorandums to structured JSON
Offering memorandums present investment properties with financial projections, property details, and market analysis. OMs blend narrative with dense financial tables. Sensible extracts OM data into validated JSON for deal screening, underwriting, and portfolio analysis.
Why offering memorandums resist automated extraction
Inconsistent tables, embedded photos, and broker-specific formatting make OMs highly variable.
OMs combine property photos, narrative, and financial tables. Sensible separates visual content from data and extracts both sections.
Pro forma tables, cap rate analyses, and projections vary per broker. Sensible extracts multi-year financials with line items intact.
OMs describe unit mix, tenant roster, and market comparables across sections. Sensible extracts the relevant data from each.
Fields we extract
Extract any data you need from offering memorandums into your desired output schema
Property name, address, property type, year built, total units/SF, lot size, zoning, parking, occupancy rate, asking price/cap rate
Gross potential income, vacancy loss, effective gross income, operating expenses (itemized), NOI, cap rate, price per unit/SF, cash flow projections
Broker name, broker contact, seller information, marketing highlights, comparable sales, rent comparables, market overview
Shopping center or retail investment memo with lease abstracts and cap rate analysis.
Commercial office offering memorandum with tenant roster and NOI projections.
Investment offering for apartment properties with financials and unit mix.
Supported OM formats
Sensible processes offering memorandums from any brokerage or investment firm. Each configuration adapts to the broker's format while enforcing a consistent output schema.
CBRE, JLL, Cushman & Wakefield, Marcus & Millichap, Newmark, Colliers, Berkadia, local/regional brokers
Multifamily, office, retail, industrial, mixed-use, hospitality, self-storage, senior living
Common Questions
Details on extracting financial data from OMs.
Sensible's table extraction handles multi-page financial schedules, rent rolls embedded in OMs, and comparable sales tables. Column headers and row labels are preserved in the structured output.
Sensible extracts property address, type, year built, total units or square footage, lot size, zoning, occupancy rate, and asking price. It also captures seller and broker information.
Yes. Sensible extracts income and expense tables, pro forma projections, cap rates, NOI, and cash flow schedules. Multi-year projection tables are returned as structured arrays.
Yes. Sensible sends extraction results to your webhook endpoint when processing completes. You can also poll the API for status.
Yes. Sensible flags extractions with low confidence for human review. You can configure review thresholds and workflows.
Sensible is SOC 2 Type II certified and HIPAA compliant. Data is encrypted in transit and at rest.
Documents are deleted after 30 days by default. You can configure shorter retention periods or request immediate deletion via API.
Yes. Sensible offers a free tier with 50 documents per month. No credit card required to start.
Sensible uses per-document pricing for predictable costs. No token-based billing or usage surprises. Volume discounts are available for higher throughput.
Sensible provides REST APIs and SDKs for Python and Node.js. Most integrations take a few hours. Webhooks, Zapier, and direct API calls are all supported.
Sensible processes PDF, PNG, JPG, and TIFF files. PDFs can be native or scanned.
Accuracy depends on document quality and configuration. Most production deployments achieve 95%+ accuracy with proper validation rules and confidence scoring.
Most documents process in 2 to 10 seconds depending on complexity and page count.