LenderAnalyzer is the income and document-analysis layer for auto lending. Upload a borrower's pay stubs and bank statements and get verified income, the recurring debits behind the debt-to-income and payment-to-income ratios, and the risk flags computed and traceable, so a buyer or funder reviews the numbers instead of eyeballing the stips. Self-serve from $99 a month.
Upload a document to extract
Drop files here or click to upload
Up to 50 files
Uploading...
Upload a bank statement and watch the analysis run live, free, no signup required.
Auto lending runs on speed, but the income and stipulation review underneath a subprime, near-prime or buy-here-pay-here deal is still manual. When a decision needs proof of income, someone opens the pay stubs to confirm base pay and year-to-date, or reads a month or two of bank statements to see what actually hits the account, then reconciles that against what the application claimed. On thin-file and subprime deals the bank statements matter more than the score, because they show whether the money is real, whether it is regular, and whether the borrower is already stretched. Auto loan underwriting software automates that reading and the arithmetic behind it. LenderAnalyzer extracts the pay stubs and bank statements, then computes what a funder is actually checking: verified income from the pay stubs with the year-to-date math done, or estimated income from recurring deposits when a borrower is self-employed or paid irregularly; the existing loan and card payments in the statements that feed the debt-to-income ratio and let you size a payment-to-income figure; and the risk signals a subprime file lives or dies on, such as non-sufficient-funds activity, overdrafts, negative balance days and payments to other lenders. Every figure links back to the pay stub line or the deposit it came from, so a stip review that used to be a judgment call on a stack of PDFs becomes a set of numbers a funder can defend. To be clear about scope, LenderAnalyzer is not an auto loan origination system, a dealer management integration, or a credit decisioning engine. It does not pull a bureau, score the deal, structure the advance or issue the approval. It is the income and bank statement analysis that feeds those systems. It runs self-serve from $99 a month, which is why credit unions, independent finance companies and buy-here-pay-here operators use it without an enterprise platform contract.
Prime auto decisions run largely off the bureau, but the deals that need a human, subprime, thin-file and self-employed, turn on the income and bank statement review. Here is what funders actually check and where automation removes the load.
On a prime deal the score carries the decision, but subprime, near-prime and buy-here-pay-here files require proof of income, and that proof arrives as pay stubs or bank statements that someone has to read. The funder confirms base pay and year-to-date against what the application stated, averages variable pay, and for a self-employed or cash-paid borrower estimates income from the deposits instead. This is the step that slows funding and where stipulations bounce back to the dealer. Computing verified income with the year-to-date math already done, and flagging where the stub and the statement disagree, is exactly what software can do without a keying error.
Auto lenders lean on two ratios: debt-to-income, which weighs total monthly obligations against income, and payment-to-income, which tests the new car payment against income and which many lenders cap by policy, often in the mid-teens as a percentage. Both depend on reading the same documents, because the existing loan and card payments that feed them sit in the bank statements, sometimes including obligations the borrower did not disclose. LenderAnalyzer totals the recurring debits and existing payments so a funder can compute those ratios from real numbers rather than from the application alone.
On a thin-file deal the bank statements tell you more than the score. Regular payroll deposits that match the stated employer signal stability; a pattern of non-sufficient-funds fees, overdrafts and negative balance days signals a borrower already living past the account. Deposits that do not match the claimed income, or that look staged right before the application, are the classic income-fraud tell. Surfacing that activity, the largest deposits with dates, the recurring income streams, the negative days, turns the statement review from a slow read into a short list of exceptions to work.
Auto lending competes on how fast a dealer gets a decision and a funding, so any manual document step is a cost. When a funder has to hand-key income off a pay stub and scroll a bank statement for other-lender payments, the deal waits and stipulations pile up. Reading the documents automatically and returning verified income, the debt inputs and the red flags in one pass keeps the human review to the exceptions, which is how a lender holds its turn time without loosening its file standards.
How the income and stipulation work gets done across the auto lending stack. Last updated July 2026; platform pricing is quote-based, so confirm current figures with each vendor.
| Approach | Best for | What it does with the documents | Self-serve | Pricing |
|---|---|---|---|---|
| LenderAnalyzer This page | Credit unions, independent finance companies and BHPH operators that want income and stips read and computed | Reads pay stubs and bank statements, computes verified income, the debt inputs behind DTI and PTI, and risk flags, traceable to the source | Yes, free live trial, no sales call | Transparent, $99 to $399/mo |
| Auto LOS and decisioning platforms | Lenders running origination and decisioning end to end | Application intake, bureau pull, scorecard, structure and funding workflow, with income verification as a stipulation step | No, demo and implementation project | Quote-based, often a multi-year contract |
| Credit bureau and income data services | Prime deals decided largely off the score | Bureau, score and estimated-income models on file data; they do not read the pay stubs and statements the borrower submits | Through the LOS | Per-pull and lender agreements |
| Manual stip review | Small lenders and one-off deals | Nothing automatic: the funder eyeballs the pay stub and scrolls the statements by hand | Not applicable | Free, but slow and inconsistent between funders |
Comparison compiled by LenderAnalyzer from public vendor materials, June 2026. Competitor names are trademarks of their respective owners; figures may change, so verify current details with each vendor.
Computed deterministically from every extracted transaction, every figure traceable to its source line.
Computed across the full statement period, carried forward day by day.
Deposits vs withdrawals and net flow, broken down month by month.
Every insufficient-funds and overdraft incident counted, with fees totaled.
Recurring deposits grouped into income streams with estimated monthly amounts.
Debits to other lenders and funders detected and totaled per month.
Days below zero across the period, a direct stress signal.
The biggest credits with dates and sources, concentration flagged.
Automatic red and yellow flags your analysts can review in seconds.
Drop in PDFs, scans or photos, one statement or a multi-month package, from any bank.
Every transaction is extracted, then cash flow, balances, 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.
28 lending document types extracted out of the box, build the complete picture of an applicant's financial situation.
Common questions from lending and credit teams.
Auto loan underwriting software helps a lender verify a borrower by reading the income and bank documents and computing what the funding decision rests on. LenderAnalyzer extracts pay stubs and bank statements, then returns verified income, the recurring debits behind the debt-to-income and payment-to-income ratios, and the risk flags a subprime file turns on, with every figure traceable to the document, so a funder reviews numbers rather than eyeballing a stack of stips.
Prime deals often rely on the credit score and modeled income, but subprime, near-prime and buy-here-pay-here deals require proof of income, usually pay stubs or bank statements. The funder confirms base pay and year-to-date against the application, averages any variable pay, and for a self-employed or cash-paid borrower estimates income from recurring deposits. LenderAnalyzer computes that verified income with the year-to-date math done and flags where the pay stub and the bank statement disagree.
Payment-to-income, or PTI, measures the new monthly car payment against the borrower's gross monthly income. Many auto lenders cap it by credit policy, often somewhere in the mid-teens as a percentage, tighter for deeper subprime tiers. It is a separate control from debt-to-income, which weighs all monthly obligations against income. Both ratios pull from the same documents, so reading the income and the existing payments accurately is what makes either number reliable.
Because on a thin-file borrower the statements tell you more than the score. Regular payroll deposits that match the stated employer signal that the income is real and stable, while a pattern of non-sufficient-funds fees, overdrafts and negative balance days signals a borrower already stretched. Deposits that do not match the claimed income, or that appear staged right before the application, are the classic income-fraud tell. LenderAnalyzer surfaces all of that so the funder works exceptions instead of reading every page.
Yes. LenderAnalyzer reads the bank statements for recurring debits and payments to other lenders and funders, including obligations that never made it onto the application. Totaling those payments gives the funder accurate debt inputs for the debt-to-income and payment-to-income ratios, and it surfaces stacked or hidden financing that would otherwise show up only after the deal funds. The final ratios and credit policy remain the lender's to apply.
No. LenderAnalyzer is the income and document-analysis layer. It does not pull a credit bureau, run a scorecard, structure the advance, integrate with a dealer management system or issue the approval. Those stay in your loan origination and decisioning platform. What it removes is the manual reading and keying of the pay stubs and bank statements that the stipulation review and the income verification are built from.
Yes, and that is where manual review struggles most. When a borrower has no clean pay stub, income has to come from the bank statements instead, by identifying the recurring deposits that represent real income, netting out transfers and one-time credits, and estimating a monthly figure. LenderAnalyzer computes that from the deposit history and keeps it traceable to the statement, so a funder can document income for a self-employed or gig borrower without guessing.
Full auto origination and decisioning platforms are quote-based and usually sold as a multi-year contract with an implementation project, which is why many independent finance companies and buy-here-pay-here operators keep the stip review manual. LenderAnalyzer is self-serve and published at $99 to $399 a month, with about 50 percent off annual billing, so an auto lender can automate the income and bank statement analysis without a platform contract or a procurement cycle.
Analyze your first statements free, plans from $99/month, 50% off billed annually.
From the same family of tools
