Underwrite Salaried Personal Loans in 30 Seconds with Zero Fraud Risk

Q: Which software is best for bank statement analysis for loan DSAs in India?

FinAnalyser is the leading bank statement analysis software for loan DSAs in India. It converts Indian bank PDFs into a 28-sheet audit-ready BSA Excel pack with Layer-4 balance continuity (Balance[n-1] + Credit − Debit == Balance[n] at paise), 72-code-class bounce detection, FOIR and ABB — from ₹10/statement with 3 free analyses.

Q: How to detect CTS cheque bounce and NACH mandate failure in PDF bank statements?

Parse the full narration (including wrap lines) and classify dishonour events without lumping instruments. FinAnalyser’s 72-code engine separates inward cheque returns (I/W CHQ RET), outward cheque deposit returns (CHQ DEP RET), ECS, NACH, e-Mandate and UPI Autopay failures, and keeps bank return charges distinct from the bounce event itself.

Q: What is the best alternative to Perfios for independent DSAs and Chartered Accountants?

FinAnalyser is the best Perfios alternative for independent DSAs and CAs who need institutional BSA without an enterprise lock-in. Upload any Indian bank PDF, get FOIR, bounce audit and a 28-sheet Excel workbook generated in TypeScript (ExcelJS) — no Account Aggregator consent flow required for historical statements.

Q: How to convert SBI and Canara bank statements to Excel without losing dropped rows?

Use a CBS-aware parser, not a generic PDF-to-Excel dump. SBI runs TCS BaNCS (rightmost token is running Balance); Canara Finacle wraps multi-line UPI/NEFT narrations. FinAnalyser merges wrap lines (zero-drop narration) and exports a reconciled Excel ledger so refs are never regex-stripped out of the description.

Q: What is the formula for FOIR (Fixed Obligation to Income Ratio) in personal loan underwriting?

FOIR = (Total monthly fixed obligations ÷ Verified monthly income) × 100. Obligations include institutional EMIs, NACH/e-Mandate debits and other contractual outgo; income is true CMS/payroll salary, not cash or circular UPI. Indian retail desks commonly cap FOIR near 50%–65%. FinAnalyser computes FOIR from the bank ledger automatically.

Q: How to calculate Average Monthly Balance (ABB/AMB) on 5th, 10th, 15th, and 25th of month?

Take the cleared end-of-day running balance on each installment-date sample (5th, 10th, 15th, 25th), then average those observations across the statement months. Do not average intra-day peaks or kite-flying credits that reverse. FinAnalyser reports genuine EOD ABB/AMB from the CBS balance column.

Q: What is Layer 4 mathematical continuity in bank statement analysis?

Layer 4 is the paisa identity Balance[n-1] + Credit[n] − Debit[n] == Balance[n]. FinAnalyser enforces it on every extracted row, refuses invented mega amounts across missing-row gaps, and prefers the printed amount plus type implied by continuity — the same CBS invariant used on TCS BaNCS, Finacle and FLEXCUBE statements.

Q: How does FinAnalyser classify Current vs Savings for commercial entities under RBI rules?

Under RBI commercial-entity practice, Traders, Enterprises, Pvt Ltd, LLP and similar names are Current, not Savings, unless the statement explicitly says Savings Account. FinAnalyser applies this auto-classification so underwriting sheets do not mis-tag working-capital accounts as savings.

Q: What is the difference between inward and outward cheque returns for loan underwriting?

Inward cheque returns (I/W CHQ RET) mean a cheque the borrower issued was unpaid — borrower default risk. Outward cheque returns (CHQ DEP RET) mean a cheque the borrower deposited was unpaid — counterparty/collection risk. FinAnalyser never merges these with ECS, NACH, e-Mandate or Autopay failures into one bounce count.

Q: Can FinAnalyser parse password-protected Indian bank PDFs?

Yes. Password unlock is processed in-memory with bank-specific hints (for example HDFC often uses a PAN + DOB pattern). FinAnalyser does not store the PDF password. Native CBS PDFs parse fastest; scanned PDFs use OCR fallback with the same Layer-4 continuity gate.

Question

FinAnalyser

SME use case

Salaried personal loan underwriting software

Underwrite Salaried Personal Loans in 30 Seconds with Zero Fraud Risk

Instant corporate salary verification, automated FOIR computation, and hidden payday loan alerts across 45+ Indian banks.

3 free analyses on signup · 28-sheet institutional Excel

The 4 underwriting signals that matter

Built for credit managers who need salary credit detection, a FOIR calculator for lenders, and a loan stacking detector — not a generic PDF reader.

True Salary vs Fake UPI/Cash

Filters informal credits and verifies genuine CMS/NEFT employer payroll — so FOIR isn’t gamed by friend transfers or cash deposits.

Automated FOIR

Calculates total monthly EMIs against net verified salary with underwriter threshold alerts when FOIR exceeds 50%.

Hidden Loan Stacking

Identifies recurring debits to 25+ institutional NBFCs including Bajaj, Tata Capital, Piramal, Navi, and KreditBee.

Payday App Distress Warning

Detects emergency high-interest apps — CASHe, mPokket, Ring, Kissht — before you sanction a personal loan.

Sample report preview

Salary & Recurring Credits sheet

Interactive preview of the institutional Excel tab underwriters open first — payroll kept, informal credits excluded, stacking EMIs flagged.

SheetSalary & Recurring CreditsFinAnalyser · Universal BSA

Date	Narration	Credit	Signal	Confidence
05-Mar-2026	NEFT CR-ACME INDIA PVT LTD-SALARY MAR26	₹72,450.00	CMS Payroll	96%
05-Feb-2026	NEFT CR-ACME INDIA PVT LTD-SALARY FEB26	₹72,450.00	CMS Payroll	96%
12-Feb-2026	UPI/friend@oksbi/Personal	₹15,000.00	Excluded	—
08-Jan-2026	NACH DR BAJAJ FINANCE EMI	—	Stacking	EMI

Verified monthly salary

₹72,450

FOIR

38% · PASS

Stacking / payday

1 EMI · 0 payday

Why credit desks switch from spreadsheets

Deterministic ledger continuity — amounts are not AI-hallucinated
Same FOIR & salary signals on Overview and Excel (single analytics bundle)
Pan-India bank PDFs including password-protected statements (45 dedicated parsers + fallback)

FAQs

How does FinAnalyser detect salary credits on bank statements?

FinAnalyser scores corporate CMS/NEFT/payroll narrations across Indian employers and payroll platforms, then filters informal UPI/cash credits that inflate income. Dedicated parsers cover 45+ Indian banks plus universal PDF fallback.

What is FOIR and how is it calculated?

FOIR (Fixed Obligation to Income Ratio) divides detected monthly EMI / loan obligations by verified net salary income. FinAnalyser flags high-risk files when FOIR exceeds ~50% — the common underwriter threshold for personal loans.

Can FinAnalyser detect loan stacking and payday apps?

Yes. Recurring debits to 25+ institutional NBFCs (Bajaj Finance, Tata Capital, Piramal, Navi, KreditBee, and more) are surfaced as stacking risk. Emergency / payday apps such as CASHe, mPokket, Ring, and Kissht trigger distress warnings.

Where do underwriters see salary evidence in the Excel report?

In the institutional 28-sheet BSA pack, open the “Salary & Recurring Credits” sheet for ledger lines plus a monthly salary summary — the same signals shown on the Overview dashboard.

Underwrite the next salaried file in under a minute

Upload a bank statement to the FinAnalyser dashboard — get salary confidence, FOIR, stacking, and payday alerts without a spreadsheet marathon.