Upload bank statements — any bank, any format. LenderAnalyzer extracts every transaction and computes the underwriting metrics that drive the decision: income, cash flow, NSF activity, balances and existing debt.
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Trusted by lenders, MCA funders, brokers and credit teams
The underwriting snapshot
Computed deterministically from every extracted transaction — not estimated from summary pages. Every figure traceable to its source line.
Deposits grouped into income streams with estimated monthly amounts
Deposits vs withdrawals and net flow, month by month
Carried forward day by day across the full period
Every incident counted, fees totaled, dates listed
Debits to other lenders and funders, grouped by creditor
Days below zero — a direct cash-stress signal
Biggest credits with dates, concentration flagged
Red and yellow flags your analysts review in seconds
How it works
No templates per bank, no manual spreading. Upload and the AI does the reading and the math.
Drop in PDFs, scans or photos — one statement or a multi-month package, from any bank or credit union.
Every transaction is extracted and verified, then cash flow, income streams, NSF activity and debt payments are computed.
Read the underwriting snapshot, download the Excel report, or pull structured JSON into your LOS via API.
Built for lending teams
28 lending document types extracted out of the box — pay stubs, W-2s, tax returns, P&Ls, debt schedules, credit reports, applications — so you can assemble the full picture of an applicant's financial situation.
{
"document_type": "bank_statement",
"status": "completed",
"metrics": {
"estimated_monthly_income": 18540.00,
"avg_daily_balance": 11072.40,
"net_cash_flow": 4945.00,
"nsf_count": 0,
"negative_balance_days": 0,
"monthly_debt_payments": 1260.00
},
"transactions": [
{ "date": "2026-05-02",
"description": "PAYROLL DEPOSIT",
"credit": 6180.00 }
]
}Security & compliance
Bank-grade security, granular access controls and the audit trail your compliance team expects from a lending vendor.
Audited security, availability and confidentiality controls.
TLS 1.2+ in transit and AES-256 at rest for every document and report.
Data-subject controls and residency options for regulated lenders.
Borrower documents purged automatically after extraction.
Enterprise identity, provisioning and role-based access control.
Every upload, view and export logged for examiner-ready trails.
Who it's for
From business lenders to MCA desks and forensic accountants — anyone who needs the truth from a bank statement.
Verify income, compute affordability and standardize statement review across every application your team touches.
Learn moreTrue monthly revenue, NSF days and stacking detection — size offers on verified deposits, same call.
Learn moreAutomate the document layer of underwriting and hand your committee a clean, consistent package.
Learn moreCustomers
"Statement review went from 45 minutes per file to under five. Our underwriters open the snapshot, check the flags, and move on to the decision."
"Stacking detection alone pays for it. We caught two active advances a broker conveniently forgot to mention — in the first week."
"We wired the API into our intake flow in an afternoon. Statements in, metrics JSON out, straight into our scorecard."
Analyze your first statements free. Plans from $99/month — 50% off billed annually.
FAQ
It analyzes borrower bank statements for lending decisions: AI extracts every transaction, then computes underwriting metrics — recurring income, monthly cash flow, average daily balance, NSF/overdraft activity, negative balance days and existing loan payments — into a snapshot and downloadable report.
All of them. The AI is format-agnostic, so statements from any bank or credit union work — native PDFs, scans and photos — with no per-bank templates to configure.
Yes. Recurring deposits are grouped into income streams with estimated monthly amounts, and you can cross-check against pay stubs, W-2s, 1099s and tax returns extracted in the same platform.
Debits matching loan, financing and merchant-advance patterns are grouped by creditor with estimated monthly totals, so existing obligations and stacked advances surface immediately.
Yes. Submit statements via REST API and receive the full metrics object plus transactions as structured JSON, with webhooks on completion — built to feed an LOS, CRM or decision engine.
Documents are encrypted in transit and at rest, processed under SOC 2 controls, with optional automatic purge after extraction, SSO and full audit logs on enterprise plans.