Convert PDF bank statements to Excel for loan underwriting and credit analysis. Extract income, expenses and cash flow data from any bank. 100% free, no signup required.
Loan officers, mortgage brokers and credit analysts routinely receive applicant bank statements as PDF files. Manual extraction of income, expense and balance data from these PDFs is slow, error-prone and creates bottlenecks in the underwriting process. A manual review of a 3-month, 30-page bank statement can take 30-45 minutes. Our converter does it in under 10 seconds.
Converting to Excel gives you structured, sortable transaction data that supports every step of the underwriting assessment — income verification, expense analysis, average balance calculation and identification of existing loan obligations.
All credit transactions are extracted with dates and descriptions. Filter the Credit column to identify regular salary deposits, business income receipts, rental income and other recurring credits. Calculate average monthly income directly from the structured data.
All debit transactions are extracted with full narration text. Identify existing EMI repayments, rent payments, utility bills and discretionary spending patterns. Use the description column to categorise expenses and calculate fixed obligation ratios for creditworthiness assessment.
With the Balance column in Excel, you can calculate average daily balance, minimum monthly balance, end-of-month balance trends and peak-to-trough variation — standard metrics for underwriting assessment.
Use Excel filtering on the Description column to identify recurring transaction descriptions — existing loan EMIs, insurance premiums, subscription payments and other regular obligations that affect repayment capacity.
Convert applicant bank statements for home loan underwriting. Extract 6-12 months of income and expense data for serviceability assessment.
Convert statements for personal loan, BNPL and consumer credit underwriting. Fast extraction supports high-volume application processing.
Convert business bank statements for SME and MSME loan underwriting. Extract cash flow patterns and average monthly balance for credit decisions.
Convert statements for portfolio credit analysis, stress testing and risk assessment. Structured data supports quantitative analysis models.
Upload applicant's bank statement PDF — any bank, any format
All transactions extracted with balance verification to confirm accuracy
Download Excel and analyse income, expenses and cash flow immediately
For NBFCs, digital lending platforms and loan origination systems that need to process bank statements programmatically, our REST API enables automated extraction. Upload PDFs programmatically and receive structured JSON output for integration into your credit decisioning system.
Once your bank statement is in Excel, standard underwriting metrics become simple spreadsheet calculations. No specialist software required — every metric below uses basic Excel formulas.
| Metric | How to Calculate in Excel | Used For |
|---|---|---|
| Average Monthly Credits | =AVERAGEIF(Type,"Credit",Amount) by month | Income estimation |
| Minimum Monthly Balance | =MINIFS(Balance,Month,target_month) | Liquidity assessment |
| Average Monthly Balance | =AVERAGEIFS(Balance,Month,target_month) | Savings behaviour |
| Total EMI Outflow | =SUMIF(Description,"*EMI*",Debit) | Existing obligations |
| Irregular Large Credits | Filter Credits > 3× average credit | Income anomaly check |
| Bounce / Return Entries | =COUNTIF(Description,"*BOUNCE*")+COUNTIF(Description,"*RETURN*") | Repayment risk |
Filter the Description column for "BOUNCE", "RETURN", "NACH DEBIT RETURNED" or "ECS RETURN". Any bounced EMI in the prior 6 months is a significant credit risk indicator. Multiple bounces for the same lender indicate stress with an existing obligation.
Large, round-number ATM withdrawals (multiples of ₹10,000 or $1,000) can indicate cash income not reflected in credits. Look for patterns where cash withdrawals consistently precede or follow expected income deposits, which may signal income under-reporting.
Using the Balance column, calculate end-of-month balance for each month. A declining trend or a pattern of near-zero balances just before salary credit suggests over-commitment to existing obligations relative to income.
Distinguish between salary credits (consistent amounts from the same employer), genuine business income (variable credits with trade-related narrations) and one-off family transfers that inflate apparent income. Filter by description keyword to group credit types separately.
Salary credits should appear on the same date each month with consistent amounts from the same source. Gaps, irregular amounts or multiple small credits from different sources may indicate contract employment, freelance income or employment instability — all relevant to repayment capacity assessment.
Our converter handles all page counts without limits. A 250-page annual statement processes the same as a 30-page monthly statement — all transactions extracted into a single output file.