LenderAnalyzer is the Inscribe alternative for lenders that need to know what a borrower's financials say, not only whether a document was forged. Spread tax returns and financial statements, and compute true revenue, cash flow, DSCR, NSF and negative days, average daily balance and existing-debt and stacking signals from bank statements, self-serve from a flat $99 a month. Inscribe is a document-fraud engine; LenderAnalyzer is the financial-analysis engine that sits next to it. Analyze a live document on this page.
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Inscribe is a document-fraud detection platform, and a good one: it created the category, has been purpose-built for financial institutions since 2017, and flags forged, altered or AI-generated documents in roughly 72 seconds per file using three layers, forensic analysis of metadata and fonts, a network check against one of the largest document databases in financial services, and perceptual analysis that catches AI-generation and deepfake artifacts. Its own 2026 report puts document fraud at roughly 1 in 16 files, with AI-generated fraud up sharply, so the problem it solves is real and growing. But fraud detection answers one question, "is this document authentic?", and underwriting turns on a second question Inscribe does not try to answer, "what do the numbers actually say?". A statement can be perfectly genuine and still show thin revenue, NSF activity, negative days and three stacked advances. LenderAnalyzer is built for that second question. Upload the tax returns, financial statements and bank statements a US lender already collects and get the spread, the cash flow, the DSCR, the existing-debt and stacking figures computed, every value traceable to its source page, self-serve from $99 a month. To be clear about scope: LenderAnalyzer is not a trained forgery model and does not do perceptual deepfake detection or a cross-institution fraud network. If catching manipulated documents is your primary need, a dedicated fraud engine like Inscribe is built for exactly that, and many lenders run a fraud check and a financial analysis side by side. The comparison below is honest about which job each tool does.
Inscribe and LenderAnalyzer both look at a borrower's documents, but they ask different questions. One decides whether the document is authentic; the other decides what the financials mean for the credit. Knowing which question you are trying to answer tells you which tool you actually need, and whether you need both.
A fraud engine tells you the bank statement was not altered. It does not tell you the business only cleared $18,000 a month, bounced six payments, and already sends daily ACH to two other funders. Those are the facts a credit decision turns on, and they live in the numbers, not the document's metadata. LenderAnalyzer computes true revenue net of transfers, average daily balance, NSF and negative days, DSCR and existing-debt and stacking signals from the statements and spreads the tax returns and financials on top. If your gap is "the documents are real but I still have to analyze them," that is the job this tool does and a fraud detector does not.
LenderAnalyzer is not a forgery model. It reconciles arithmetic, does the deposits foot to the stated total, does the balance carry forward correctly, does the tax return tie to the financials, which catches clumsy edits, but it does not run perceptual deepfake detection, font-level forensics, or a cross-institution fraud network the way Inscribe does. For AI-generated or professionally manipulated documents, a dedicated fraud engine is stronger, and we will not pretend otherwise. The honest framing is that Inscribe is the better authenticity check and LenderAnalyzer is the better financial analysis; they are complements more than substitutes.
A common workflow is fraud-check first, analyze second: screen the incoming file for manipulation, then, if it passes, spread it and compute the credit metrics. If you already run Inscribe or another fraud layer, LenderAnalyzer slots in as the analysis step that turns a verified document into cash flow, DSCR and a credit memo. If you run no fraud layer today, LenderAnalyzer still gives you the financial analysis plus arithmetic reconciliation that flags the obvious edits, and you can add a dedicated fraud engine when volume or losses justify it. Match the stack to your actual loss experience, not to a single vendor's pitch.
Inscribe is sold to institutions on a quote basis with no public pricing, typically scaled to document volume, which fits a high-volume risk team standardizing fraud screening. LenderAnalyzer is self-serve and published, $99 to $399 a month flat across every supported document type, which fits a community bank, credit union or funder that wants the financial analysis without a procurement cycle. If your need is enterprise fraud screening at scale, budget for a quote; if it is fast, transparent financial analysis, a flat monthly fee is the simpler buy.
How LenderAnalyzer and Inscribe compare for US lenders, and where each one is the right buy. Last updated July 2026. Inscribe is quote-based with no public pricing, so confirm current figures with the vendor.
| Software | Primary job | What it does | Pricing | Best for |
|---|---|---|---|---|
| LenderAnalyzer This page | Financial analysis of the documents | Spreads tax returns and financials; computes cash flow, DSCR, NSF, average daily balance, existing-debt and stacking; arithmetic reconciliation; exports to Excel and API | Flat $99 to $399/mo, published, self-serve | Lenders who need to analyze the numbers, with or without a separate fraud layer |
| Inscribe | Document-fraud detection | Forensic, network and perceptual detection of forged, altered and AI-generated documents; income verification; risk agents | Quote-based, no public pricing | Risk teams whose primary need is catching manipulated documents at volume |
| Ocrolus | Extraction plus analytics and fraud signals | Lending-grade extraction with cash flow, income and some fraud detection | Metered per document, rates not published | Larger lenders standardizing on one reference extraction vendor |
| MoneyThumb (Thumbprint) | Statement conversion plus fraud model | PDF conversion and a trained document-fraud model (Thumbprint) | Published converter tiers; fraud product sales-led | MCA and lenders wanting conversion plus a forgery model |
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.
Inscribe is an AI document-fraud detection platform built for financial institutions. It reviews documents such as bank statements, pay stubs and tax forms and flags forged, altered or AI-generated files, typically in about 72 seconds per document, using forensic analysis of document structure and metadata, a network check against a large cross-institution document database, and perceptual analysis that detects AI-generation and deepfake artifacts. It also offers income verification and agentic risk tools. Its focus is document authenticity rather than financial analysis of the numbers inside the document.
It depends on what you are trying to do. If your primary need is catching forged or AI-generated documents, the closest alternatives are other dedicated fraud engines. If what you actually need is to analyze the financials, spread tax returns and statements and compute cash flow, DSCR, NSF and existing-debt, then LenderAnalyzer is the alternative that does that job self-serve from $99 a month. Many lenders run a fraud detector and a financial-analysis tool together, because they answer different questions.
Inscribe decides whether a document is authentic; LenderAnalyzer decides what the financials mean. Inscribe uses forensic, network and perceptual detection to flag forged or AI-generated documents. LenderAnalyzer reads the documents and computes the credit numbers, true revenue, cash flow, DSCR, NSF and negative days, average daily balance, existing-debt and stacking, and spreads the tax returns and financials. They are complements: one screens for fraud, the other analyzes the file that passes.
Not the same way, and we are direct about it. LenderAnalyzer reconciles the arithmetic, whether deposits foot to the stated total, whether balances carry forward, whether the tax return ties to the financials, which catches clumsy alterations. It does not run perceptual deepfake detection, font-level forensics or a cross-institution fraud network the way Inscribe does. For AI-generated or professionally forged documents, a dedicated fraud engine like Inscribe is stronger, and pairing it with LenderAnalyzer for the financial analysis is a sensible stack.
Yes, and that is often the right setup. A common workflow screens the incoming document for manipulation first, then analyzes the ones that pass. If you run Inscribe or another fraud layer, LenderAnalyzer is the analysis step that turns a verified document into cash flow, DSCR, existing-debt figures and a credit memo. The two tools do not overlap much: fraud detection answers "is this real?" and LenderAnalyzer answers "what do the numbers say?".
Inscribe does not publish pricing. It is sold to financial institutions on a quote basis, generally scaled to document volume and the detection features you use, so per-file economics depend on your throughput and contract. That model fits a high-volume risk team standardizing fraud screening. If you want transparent, self-serve pricing for the financial-analysis side of the workflow, LenderAnalyzer is a flat $99 to $399 a month across every supported document type.
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