Upload a borrower's PDF bank statements and get a clean, categorized spreadsheet in minutes. Every transaction lands in its own row with the date, description, amount, and running balance, so your team can run a bank statement analysis, total the deposits, and spread the cash flow without retyping a single line.
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Lending decisions live in bank statements, but they arrive as PDFs: 12 or 24 months of checking and savings activity a borrower downloaded or scanned. Before anyone can verify income, average the balances, or flag an NSF, that PDF has to become data. Most analysis software splits into two camps. On one side sit enterprise underwriting platforms that score risk and push results into a loan origination system. On the other side sit converters that simply turn the statement into a clean spreadsheet. This tool is the second kind, built for the step every lender hits first: getting the numbers out of the PDF and into Excel or CSV, accurately, so your own underwriters and your own model do the deciding.
You do not need a five-figure platform to read a borrower's statements. Upload the PDF, get every line with its date, description, amount, and running balance, and work the file the way you already do, in a spreadsheet, in your spreading template, or fed into your scorecard.
Date, description, debit, credit, and running balance land in separate columns. Nothing arrives as a jumbled block of text, so your analyst can sort, filter, and total the moment the file opens.
A bank statement loan file runs to 12 or 24 months across several accounts. Convert the whole stack and line the periods up, so a year of cash flow sits in one workbook instead of two dozen PDFs.
The converter reads the statement the borrower already gave you. You never ask for online banking credentials, and files are encrypted while they are processed, then handled like the rest of the file.
Once the activity is in columns, the underwriting math is simple spreadsheet work. These are the figures lenders pull from borrower statements, and a clean export hands you every one of them.
Total the eligible deposits across 12 or 24 months and divide by the number of months. With every credit in its own row, a single SUM and a divide give you the average a bank statement loan is built on.
The running balance comes across with each line, so you can read the month-end balances and average the daily balance to judge whether the account carries a real cushion or runs close to zero.
Frequent overdrafts are a top red flag. Filter the description column for NSF, overdraft, and returned item fees to count them across the file, instead of reading 24 PDFs line by line.
Lenders flag deposits that exceed roughly half of monthly income for sourcing. Sort the credits high to low and the outliers that need a letter of explanation surface at the top of the list.
Existing loan payments, card payments, and transfers that point to hidden liabilities repeat on the same dates. Categorized rows make those recurring debits easy to spot and add to the debt picture.
For an SBA, merchant cash advance, or revenue-based loan, monthly deposits and the daily balance trend tell the story. The export feeds straight into a cash flow or spreading template.
Four steps, no software to install on your underwriting team's machines.
Gather the statements the borrower submitted: 12 or 24 months of checking, savings, and business accounts. Digital or scanned, from any US bank.
Drop the PDFs into the converter at the top of this page. Password-protected statements are detected the moment you upload them.
Each statement is read into a table. Check the date, description, amount, and balance columns in the preview before you export.
Export to Excel or CSV and drop the data into your spreading template, your scorecard, or your loan origination system to underwrite.
New to reviewing statements for a file? The guide on how to prepare bank statements for a loan walks through what borrowers should send and how the documents are read.
For self-employed borrowers who qualify on deposits rather than W-2s, convert 12 or 24 months of statements and average the income in one workbook. See the page for mortgage brokers.
Spread a company's operating account fast. Monthly deposits, ending balances, and debits feed straight into a cash flow analysis for the credit memo.
Daily balances and deposit counts drive the advance. Convert the last few months of statements and read the cash flow trend without manual tallying.
A dependable converter handles the consumer and small business files a smaller lending team processes, without per-seat enterprise pricing.
Borrowers send what they have: digital downloads, scans, photos of paper statements, and long files that run across many pages and several accounts. The converter reads them into clean rows so the analysis is not held up by the source format.
Statements are rarely the only PDFs in a loan file. Once your team is converting them here, you can turn a borrower's tax returns and financial statements into a spreadsheet with a PDF to Excel converter, and read scanned pay stubs or other supporting paperwork with document OCR software.
Underwriters look for steady income deposits, enough cash for the down payment and reserves, and a clean account history. They total eligible deposits to estimate average monthly income, check ending and average balances, and watch for red flags: frequent overdrafts or NSF fees, large unexplained deposits, and recurring payments that hint at hidden debt. A converted statement puts every one of those figures in a column you can sum and sort.
Most conventional files ask for the two most recent months of statements for every account used to qualify. Bank statement loans for self-employed borrowers go much further back, usually 12 or 24 months, because the income is averaged from deposits over that period. Converting the full set into one spreadsheet is what makes a 12 or 24 month average practical instead of a manual page-by-page tally.
A bank statement loan qualifies a self-employed borrower on the deposits in their bank statements rather than on tax returns or W-2s. The lender totals eligible deposits across 12 or 24 months, applies an expense factor, and divides to get a qualifying monthly income. Because the whole decision rests on adding up deposits, converting the statements to a spreadsheet removes the slowest, most error-prone part of the file.
No, and it does not pretend to. This is a converter, not an underwriting engine. It turns the borrower's PDF statements into clean, categorized Excel or CSV data. The income averaging, the balance review, and the credit decision stay with your underwriters and your model. If you want a platform that scores risk and pushes results into a loan origination system, that is a different and far more expensive category of tool.
Yes. The converter includes optical character recognition, so it reads scanned statements and photos of paper statements, not only digital PDFs. Borrowers rarely send a perfect file, and older periods are often scans. The text is pulled into the same date, description, amount, and balance columns, so a scanned month analyzes exactly like a downloaded one.
Yes. Each line carries its running balance across to the spreadsheet, so you can read month-end balances and average the daily balance. Transactions are also categorized, which makes recurring debits, transfers, and deposit types easy to group. That is the difference between a raw text dump and a file you can actually analyze for an underwriting decision.
Files are encrypted in transit and at rest while they are processed, and the conversion runs from the PDF the borrower already provided, so no online banking credentials are ever entered. You stay in control of both the source file and the exported spreadsheet from upload to download, which matters when you are handling another person's financial records.
What borrowers should send and how lenders read it.
The same converter, framed for mortgage files.
How the balance column is carried into the export.
Group recurring debits, deposits, and transfers.
How a converter compares to a lending platform.
How to choose a converter for financial work.
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Enterprise‑grade bank statement conversion and controls.
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