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Real Estate

Real Estate & Property Management

Extract property details, lease terms, and tenant information from real estate documents, leases, and property reports.

Managing 200 Properties With Paper Trails

Real estate runs on documents. Leases, property reports, inspection records, purchase agreements, HOA documents—every property generates a paper trail that grows by the month.

I once spoke with a property manager handling 200 units. She had a filing cabinet system that required a map to navigate. Need to find the move-in inspection from apartment 12B from two years ago? That's a 20-minute archaeology expedition.

The documents exist. Finding and extracting information from them? That's where everything slows down.

The Document Chaos in Property Management

A single rental property generates:

  • Lease agreements (often 20+ pages)
  • Move-in/move-out inspection reports
  • Maintenance request records
  • Rent payment histories
  • Tenant communication logs
  • HOA or building management documents
  • Insurance certificates
  • Property tax records

    • Multiply that across dozens or hundreds of properties. Now add the constant churn of tenants, renewals, and maintenance issues.

    The property manager's job becomes document management, with occasional breaks to actually manage properties.

    From Document Chaos to Structured Data

    PDF Parser transforms property documents into queryable data.

    Upload a lease agreement: Get structured extraction of parties, terms, rent amounts, deposit requirements, renewal clauses, and special conditions.

    Process an inspection report: Extract room-by-room condition notes, damage descriptions, required repairs, and photo references.

    Analyze purchase agreements: Pull out sale prices, contingencies, closing dates, and buyer/seller information.

    All of it becomes searchable, comparable, and ready to integrate with property management systems.

    Portfolio-Wide Intelligence

    The real power shows up at scale.

    Instead of opening individual documents, you can ask questions across your entire portfolio:

  • Which leases expire in the next 90 days?
  • What's the average rent increase across renewals this year?
  • Which properties have outstanding maintenance issues?
  • How do security deposits compare across similar units?

    • Property managers go from reactive document searches to proactive portfolio management.

    Due Diligence at Speed

    For acquisitions and portfolio analysis, document processing speed matters.

    Evaluating a 50-property portfolio used to mean weeks of document review. Extracting key terms from every lease, identifying special conditions, calculating revenue projections—all manual work.

    AI document processing compresses that timeline dramatically. Due diligence that took weeks now takes days. Deals move faster. Opportunities don't slip away while you're still reading leases.

    What Gets Extracted

    From typical real estate documents:

    Lease Agreements:

  • Landlord and tenant names
  • Property address and unit details
  • Lease term and renewal options
  • Monthly rent and escalation clauses
  • Security deposit amounts
  • Pet policies and restrictions
  • Maintenance responsibilities

    • Property Reports:

  • Property specifications (sq ft, bedrooms, etc.)
  • Condition assessments
  • Repair recommendations
  • Compliance issues
  • Valuation estimates

    • Purchase Agreements:

  • Sale price and terms
  • Contingencies and conditions
  • Closing timeline
  • Included fixtures and exclusions

    • Key Benefits

    • Extract property specifications
    • Process lease agreements
    • Tenant information management
    • Property valuation data
    • Maintenance record tracking

    Real Examples

    See it in action

    Explore practical examples of how PDF Parser handles real estate documents.

    Lease Agreement Processing

    Extract all terms and conditions from residential and commercial leases.

    Input

    Residential lease agreements
    Commercial lease contracts
    Lease amendments and addendums

    Output Fields

    landlord_infotenant_infoproperty_addresslease_startlease_endmonthly_rent+3 more

    Property Inspection Reports

    Process move-in/move-out inspections and property condition assessments.

    Input

    Move-in inspection forms
    Move-out condition reports
    Annual property inspections

    Output Fields

    inspection_dateinspector_nameroom_conditions[]damage_noted[]repair_needed[]photos_referenced

    Purchase Agreement Analysis

    Extract key terms from real estate purchase and sale agreements.

    Input

    Purchase agreements
    Sale contracts
    Closing documents

    Output Fields

    buyer_infoseller_infoproperty_detailssale_priceearnest_moneycontingencies[]+2 more

    How It Works

    From document to data in 3 steps

    1

    Upload

    Upload your real estate documents in PDF format

    2

    Extract

    Our AI analyzes and extracts the data you need

    3

    Export

    Download structured JSON or CSV for your systems

    FAQ

    Frequently asked questions

    PDF Parser accepts PDF files and common image formats including JPEG, PNG, WebP, TIFF, BMP, and GIF. Files can be up to 20 MB each.

    Accuracy depends on document quality, but PDF Parser handles both digital and scanned documents with high reliability. You can verify results and re-run extractions as needed.

    No. Unlike traditional parsers, PDF Parser uses AI to understand document layouts automatically. Just define the fields you want and the AI figures out where they are.

    PDF Parser outputs structured JSON and CSV. JSON is ideal for API integrations and databases, while CSV works for spreadsheets and data analysis tools.

    Yes. Documents are processed in memory and not permanently stored. We use OpenAI for extraction — see our privacy policy for full details.

    Yes. PDF Parser supports batch uploads — drag and drop multiple files and they are processed in parallel for faster results.

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