LenderAnalyzer is the self-serve MoneyThumb alternative for lenders and MCA funders that want computed underwriting analytics, not just a converted PDF: true revenue net of transfers, NSF and negative days, average daily balance and existing-debt detection from any bank statement, plus tax returns and financial statements, on a published flat plan from $99 a month. Analyze a live statement on this page.
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MoneyThumb has been in the statement business for over a decade and runs three things: cheap file converters that turn statement PDFs into QBO, OFX and CSV; PDF Insights, a statement analysis product with a web app and a REST API that builds underwriting scorecards; and Thumbprint, a document fraud model patented in 2020 that MoneyThumb says has reviewed more than 10 million statements and flagged over 500,000 as fraudulent. For a lender whose first worry is a doctored statement, that fraud corpus is a genuine strength, and the converters are inexpensive for teams that just want transactions in Excel. Lenders who compare MoneyThumb alternatives are usually after one of two things. They want the analysis product on published, predictable pricing rather than a demo, because the converters are self-serve and cheap but PDF Insights for lenders is sold through a sales conversation. Or they want one tool that reads more than bank statements, because a real commercial file is tax returns and financial statements too, not only the statement PDF. LenderAnalyzer is the analysis half on a flat plan. Drop in three to twelve months of statements and get true monthly revenue net of transfers, deposit frequency, NSF and negative days, average daily balance and every detected advance grouped by funder, then add the tax returns and financials the larger deals need, all in one place from $99 a month. Where MoneyThumb wins, the table below says so.
MoneyThumb bundles file conversion, statement analysis and fraud detection, and most lenders only really need one or two of them. Splitting the job apart tells you what to actually buy.
A file converter turns a statement PDF into a spreadsheet of transactions and stops there; you still tally the deposits, back out the transfers and count the NSFs yourself. That is fine if the next step is a human reading the rows. Statement analysis computes the underwriting figures for you: true revenue net of transfers, average daily balance, NSF and negative days, existing debt service. MoneyThumb sells both, at very different prices, so decide which one your workflow needs. Paying converter money and then analyzing by hand, or paying analysis money for files you only wanted converted, are both the wrong purchase.
Whatever reads the statement, the figure that decides whether an advance or a loan performs is true revenue: gross credits minus internal transfers, minus refunds and chargeback reversals, minus loan and advance proceeds landing as deposits, minus owner capital injections. A merchant showing $180,000 of monthly deposits might have $110,000 of real sales once a $40,000 advance, $18,000 of inter-account transfers and $12,000 of reversed charges come out. Size against the gross number and the deal defaults. Any tool that shows a revenue figure without letting you see which credits it excluded, and why, is asking for trust it has not earned.
MoneyThumb's Thumbprint is a patented document fraud model trained on a very large corpus of statements, and forgery detection is its own discipline: font and metadata forensics, spotting a PDF that was edited after the bank produced it, recognizing template tampering. That is different from arithmetic verification. LenderAnalyzer verifies by rebuilding the full ledger and recomputing running balances and period totals so figures that do not reconcile surface immediately, which catches numbers that were changed but not a clean forgery that happens to still add up. If a trained forgery-detection model is your primary defense, that is a real reason to weigh MoneyThumb or a fraud-first tool like Inscribe. Be honest with yourself about which failure mode actually loses you money.
MCA and small-business underwriting starts with statements and rarely ends there. Larger advances and loans pull in business and personal tax returns, financial statements, a debt schedule, sometimes pay stubs for a guarantee. A tool scoped tightly to statement conversion and statement analysis leaves those to a second vendor or a manual desk. Before choosing, list every document type that touches a file above your typical deal size, then check which tools read all of them and return the figures in one place. Running one platform across statements, returns and financial statements usually beats a converter plus a spreadsheet plus a separate spreading tool.
How LenderAnalyzer and the main MoneyThumb alternatives compare for US lenders and MCA funders. Last updated July 2026. MoneyThumb PDF Insights, Ocrolus and Inscribe are quote-based for lenders, so confirm current figures with each vendor.
| Software | Pricing | Self-serve | What it does | Best for |
|---|---|---|---|---|
| LenderAnalyzer This page | Flat $99 to $399/mo, published, 50% off annual | Yes, free live trial, no sales call | Computes true revenue net of transfers, NSF and negative days, average daily balance and existing-debt detection; also reads tax returns and financial statements | Lenders and funders wanting computed analytics on published pricing |
| MoneyThumb converters | Desktop $59.95 to $599+, cloud $24.95 to $99.95/mo, or $2 to $5 per conversion | Yes | Converts statement PDFs to QBO, OFX and CSV; no computed underwriting analytics | Getting transactions into Excel or accounting software cheaply |
| MoneyThumb PDF Insights + Thumbprint | Quote-based for lenders, demo required | Web app and REST API, sales-led | Statement analysis scorecards plus patented Thumbprint document fraud detection | Lenders whose first priority is forgery detection |
| Ocrolus | Metered per document, rates not published | Signup and a free trial up to 100 pages | Lending-grade extraction plus cash flow, income and fraud analytics across document types | Larger lenders standardizing on one reference vendor |
| Inscribe | Quote-based | No, sales demo | Document fraud detection first, cash flow analytics secondary | Lenders whose main loss driver is doctored statements |
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.
MoneyThumb is a US software company that has offered financial file tools for over a decade. It sells statement converters that turn PDF bank statements into QBO, OFX and CSV; PDF Insights, a statement analysis product with a web app and REST API that builds underwriting scorecards for lenders; and Thumbprint, a document fraud detection model patented in 2020 that the company says has reviewed more than 10 million statements. It serves MCA funders, mortgage lenders, accountants and small businesses.
The converters are self-serve and inexpensive: desktop products run roughly $59.95 to $599 and up, cloud plans around $24.95 to $99.95 a month, and pay-as-you-go conversions are about $2 to $5 each. PDF Insights, the lender analysis product, is sold through a demo rather than published pricing, scaled to volume. LenderAnalyzer publishes flat analysis plans at $99, $199 and $399 a month with no per-conversion metering.
It depends on which MoneyThumb product you are replacing. If you want computed underwriting analytics (true revenue, NSF and negative days, existing debt) on published pricing, LenderAnalyzer covers that self-serve from $99 a month. If you only need PDFs turned into spreadsheets, a low-cost converter is enough. If your first priority is trained forgery detection, MoneyThumb Thumbprint or Inscribe leads there. Match the alternative to the specific job.
MoneyThumb spans three products: cheap file conversion, a sales-led statement analysis tool, and a patented fraud model. LenderAnalyzer is focused on the analysis and reads more than statements: it computes true revenue, NSF and negative days, average daily balance and existing-debt detection, and also spreads tax returns and financial statements, on published flat pricing you can start today. MoneyThumb's edge is Thumbprint document forgery detection; LenderAnalyzer's is computed analytics across more document types without a sales call.
Partly, and it is worth being precise about the difference. LenderAnalyzer verifies statements arithmetically: it rebuilds the full transaction ledger, recomputes running balances and period totals, and flags figures that do not reconcile, along with deposit concentration and irregular patterns. That catches numbers that were altered. Thumbprint is a dedicated forgery model trained on millions of documents to detect font, metadata and template tampering, which can catch a clean forgery that still adds up. If trained forgery detection is your main defense, weigh a fraud-first tool.
Yes. LenderAnalyzer scans statement debits for advance-style repayment patterns, fixed daily or weekly withdrawals to financing counterparties, groups them by counterparty against known funder ACH descriptors, and totals the combined daily burden so every open position is visible before you fund. It reports true revenue net of transfers alongside the positions, so you can size a holdback against real sales rather than gross deposits.
Yes, and that is a common reason lenders move from a statement-only tool. LenderAnalyzer reads business and personal tax returns, K-1s, income statements and balance sheets in addition to bank statements, and computes the cash flow, debt service coverage and leverage a full credit decision needs. For deals above the size where a bank statement alone is enough, having one tool read every document type and return the figures in one place saves a second vendor and a manual spread.
Analyze your first statements free, plans from $99/month, 50% off billed annually.
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