LenderAnalyzer is the automated analysis layer behind factoring underwriting. Upload a prospect's business bank statements, financial statements and tax returns and get the cash flow, average daily balance, NSF and negative-day counts, and existing advance and lien detection a factor needs to approve a client and size the facility. Self-serve from $99 a month, no enterprise contract.
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Factoring and accounts receivable funders underwrite differently from a bank, but the slow part is the same: reading a prospect's financial documents by hand. Before a factor advances against invoices, it has to know whether the client's business actually generates the cash flow to operate, whether the owner is already carrying merchant cash advances or other liens that would compete for the same receivables, and how clean the bank activity looks. That answer lives in three to six months of business bank statements, the company's financial statements, and its tax returns. Pulling it out manually takes an underwriter the better part of a day per file, and the numbers still have to be re-keyed and reconciled before anyone makes a decision. LenderAnalyzer automates that front end. Upload the client's bank statements, balance sheet, income statement and tax returns and the software extracts every transaction and line item, then computes the figures a factoring decision turns on: average monthly deposits and true revenue, average daily balance, NSF and negative-day counts, deposit consistency, net cash flow, and existing advance or loan payments detected and grouped by funder so stacking is visible immediately. A factor sizing an advance can see holdback capacity against verified revenue instead of a summary page, and every figure stays traceable to the transaction it came from, so a reviewer verifies rather than re-keys. It is honest to be clear about scope. Factoring underwriting also depends on the creditworthiness of the account debtors and the validity and aging of the invoices themselves, and those checks sit outside statement analysis. What LenderAnalyzer covers is the client financial side: the bank statement, financial statement and tax return analysis that tells you whether the business behind the receivables is sound and whether it is already over-leveraged. Most factors run that part in spreadsheets or pay an enterprise platform sold on an annual contract. LenderAnalyzer is the analysis layer on its own, self-serve from $99 a month, so a small or mid-size factor gets the speed of automation on every submission without a platform rollout, and your underwriting policy stays yours. Results export to Excel or flow into your system through a REST API, so the metrics drop straight into the way your team already works.
Factoring is not lending against cash flow, it is advancing against receivables, so the client analysis has a different emphasis than a term loan. Four things separate a tool that helps a factor from a generic bank statement reader.
The single biggest risk in a factoring file is a client already carrying merchant cash advances or a UCC lien that claims the same receivables you are about to buy. Those advances show up as fixed daily or weekly ACH debits scattered through the bank statements, easy to miss by eye across three accounts and six months. LenderAnalyzer scans the debits for advance-style repayment patterns, groups them by funder against known ACH descriptors, and totals the combined daily burden, so a competing claim on the collateral is visible before you fund rather than after a client defaults.
Gross deposits overstate a business every time transfers, loan proceeds and owner injections land in the operating account. Sizing a facility off that number advances against money that is not sales. LenderAnalyzer separates true operating revenue from internal transfers and financing inflows, reports average monthly deposits net of those, and shows deposit consistency month to month, so a factor can set an advance rate and holdback against verified sales instead of a flattering total. Deposit volatility is itself a signal: a business with lumpy, concentrated deposits carries different collection risk than one with steady daily activity.
A client that runs negative several days a month or racks up NSF charges is telling you something about how tightly it manages cash, which bears directly on whether it will honor a notification-of-assignment and route payments correctly. LenderAnalyzer counts NSF and overdraft items and negative days across the period and flags the trend, so a rising pattern shows up as a red flag on the summary instead of buried in a transaction register nobody reads line by line.
Honest scope matters here. The strength of a factoring deal also rests on the account debtors' credit and the validity and aging of the specific invoices, and those checks belong in your verification and debtor-credit process, not in statement analysis. LenderAnalyzer deliberately covers the client side, the bank statement, financial statement and tax return analysis that tells you whether the business behind the receivables is sound and already over-leveraged, and leaves the debtor and invoice verification to the tools built for it. Knowing which risk each tool covers keeps you from assuming a clean cash flow report clears an invoice it never looked at.
Ways factoring and accounts receivable funders handle the client financial analysis behind an advance. Last updated June 2026; the enterprise tools are quote-based, so confirm current pricing with each vendor.
| Approach | Best for factoring underwriting | What it analyzes | Self-serve | Pricing |
|---|---|---|---|---|
| LenderAnalyzer This page | Factors and AR funders that want automated client analysis without an enterprise contract | Bank statements, financial statements and tax returns into cash flow, NSF, balances and existing-advance detection | Yes, free live trial, no sales call | Transparent, $99 to $399/mo |
| Ocrolus | High-volume funders with in-house decisioning and engineering | Mature bank statement cash flow and income analytics, fraud add-ons | No, sales demo first | Quote-based enterprise |
| Heron Data | Developer teams at high-volume MCA and revenue-based funders | Transaction categorization and cash flow through an API | API-only, no underwriter UI | Usage-based |
| DocuClipper / MoneyThumb | Cheaply converting statements to a spreadsheet | Extraction only, no underwriting metrics or stacking detection | Yes | Low-cost, self-serve |
| Manual spreadsheet review | Very low file volume | Whatever the underwriter keys and reconciles by hand | Not applicable | Underwriter time, hours per file |
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.
A factor evaluates two things: the creditworthiness of the account debtors who owe the invoices, and the financial health of the client selling them. The client side means reviewing several months of business bank statements, financial statements and tax returns for revenue, cash flow, average daily balance, NSF activity and existing debt. LenderAnalyzer automates that client financial review so underwriters reach a decision in minutes instead of days.
A typical factoring application asks for a completed application, an accounts receivable aging report, a sample invoice, a customer list, and three to six months of business bank statements, often with recent financial statements and tax returns. LenderAnalyzer reads the bank statements, financial statements and tax returns and extracts every figure automatically, so the underwriter is not keying numbers off PDFs.
Setting up a new factoring account usually takes one to two weeks, and a large part of that is manual document review and verification. Automating the bank statement and financial analysis removes hours of keying per file, so underwriters can clear the client financial review the same day a submission arrives and spend the saved time on debtor credit and invoice validation.
They look for recurring daily or weekly debits in the client's bank statements that match advance, loan or financing patterns. LenderAnalyzer groups those debits by counterparty, estimates the monthly burden, and flags existing advances automatically, so a factor sees whether the receivables are already pledged or the business is over-leveraged before committing funds.
The financial analysis can. AI reads the client's bank statements, financial statements and tax returns, extracts every line item, and computes revenue, cash flow, NSF counts and existing-debt figures with the underwriter reviewing rather than retyping. Debtor credit checks and invoice verification stay separate, but automating the client financial review removes the slowest, most error-prone part of the file.
Factoring software, a factoring platform, runs the business: client onboarding, advances, fee schedules, collections and ledgering. Underwriting software is the analysis layer that decides whether to take a client on, by reading their bank statements and financials and computing the cash flow and risk metrics behind that call. LenderAnalyzer is the analysis layer and exports to whatever factoring platform you already run.
It depends on the model. Enterprise analysis platforms are quote-based annual contracts with no public pricing. LenderAnalyzer is self-serve and transparent at $99 to $399 a month with 50% off annual billing, so a small or mid-size factor can start analyzing client statements the same day without a contract or a sales call.
Analyze your first statements free, plans from $99/month, 50% off billed annually.
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