LoanReady helps real estate investors calculate their Debt Service Coverage Ratio (DSCR) before meeting with lenders. Users upload bank statements and rental profit & loss statements; Claude Haiku extracts all transactions from the documents, computes the DSCR, and generates a lender-ready PDF report — in minutes.
DSCR = Net Operating Income ÷ Total Debt Service
Lenders use DSCR to assess whether a rental property generates enough income to cover its loan payments. A DSCR above 1.25 is typically required for DSCR loan approval. LoanReady lets investors know their number before they walk into a lender meeting.
| Category | Tools |
|---|---|
| Frontend & Backend | Next.js 15, TypeScript, React 19 |
| UI | shadcn/ui, Tailwind v4 |
| ORM & Database | Prisma 5, SQLite |
| Authentication | Clerk |
| Payments | Stripe |
| AI / PDF Extraction | Claude Haiku (claude-haiku-4-5) |
| Deployment | Vercel |
Claude Haiku for extraction: Haiku is the fastest, most cost-efficient Claude model. PDF extraction is a structured task that doesn’t require deep reasoning — Haiku reliably pulls tabular data in a single prompt at under $0.01 per report.
Vision-based extraction: Claude reads the PDF visually, so scanned bank statements (image PDFs) work without a separate OCR layer.
Stripe gating: The DSCR computation runs for free; the lender-ready PDF download is gated behind a Stripe payment. This lets users see their number before committing.