Is FinAnalyser cheaper than enterprise competitors?

Yes. FinAnalyser starts at ₹10/report with no minimum contract, compared to enterprise solutions which charge ₹75–₹150/report with mandatory annual contracts. Small NBFCs and DSAs save materially on volume.

Which Indian banks does FinAnalyser support?

FinAnalyser ships 45 dedicated Indian bank parsers (PSU and private majors) plus IFSC-aware detection and a UniversalParser fallback for other Indian PDF formats.

How long does bank statement analysis take?

Most single-statement reports complete within a few minutes. Larger batches (multiple PDFs or long statements) take longer depending on page count, scan quality, and queue load.

Can FinAnalyser handle password-protected bank PDFs?

Yes. FinAnalyser automatically detects encrypted PDFs and shows a per-file password input with bank-specific hints (e.g., HDFC: first 5 chars of PAN + DOB). Password hints are available for 38+ Indian banks.

Does FinAnalyser detect salary and income accurately?

FinAnalyser uses 300+ salary narration patterns across all Indian payroll systems (Razorpay Payroll, Darwinbox, Zoho Payroll, Keka, etc.) and returns a 0–100 salary confidence score. It distinguishes between salaried, self-employed, and business income.

What is the difference between FinAnalyser and AA-based platforms?

FinAnalyser works via direct PDF upload today — no Account Aggregator consent flow required. That covers historical statements and banks where AA coverage is incomplete.

How to Detect Salary Credits Accurately from Bank Statements

Fake salary credits are a common loan-file tactic. Matching narration patterns across payroll providers raises confidence before sanction.

Salary confidence score

FinAnalyser scores salary-like credits and distinguishes salaried vs self-employed patterns so underwriters can challenge weak files early.

Salary confidence score

Want to spot these frauds automatically?