LenderAnalyzer does the document work behind a community bank commercial loan. Upload the borrower's business and personal tax returns, financial statements and bank statements, and get the spread, the debt service coverage, the global cash flow and the risk flags your credit policy calls for, with every figure traceable to the page it came from. Self-serve from $99 a month, no core conversion and no implementation project.
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A community bank runs commercial credit the same way a regional does, with a fraction of the staff. One or two analysts spread three years of business returns, a personal 1040 with a couple of K-1s, an interim balance sheet and six to twelve months of operating account statements, by hand, for every relationship the lenders bring in. The enterprise credit platforms are built for that work, but they are sold on annual contracts with a multi-month rollout and priced against an asset base a $400 million or $2 billion bank cannot always justify. So the analysis stays in a spreadsheet, and the spreadsheet is the bottleneck: it is slow, it varies between analysts, and it is exactly what an examiner probes when the CRE concentration climbs. LenderAnalyzer automates the document and analysis layer of that file without asking you to replace your core or your loan origination system. It reads the tax returns, financial statements, debt schedules and bank statements a US commercial file already contains, extracts every line item, and computes the spread, DSCR, global cash flow and existing-debt figures your analysts would otherwise key by hand, the same way every time so the credit committee and the examiner see a consistent package. It is deliberately not a core, an LOS or a CECL model. It removes the hours of data entry and reconciliation that sit under all of them, self-serve, at a price a community bank can put on a card and use the same day.
Community banks are examined by the OCC, FDIC or Federal Reserve against interagency safety-and-soundness guidance rather than a single prescriptive rulebook. The items below are the ones that shape the commercial underwriting file itself, and where automating the document layer moves the needle.
A real commercial file is rarely one clean PDF. It is two to three years of business tax returns with all schedules and K-1s, interim financial statements current to within 90 days, a business debt schedule, six to twelve months of operating account bank statements, and for each meaningful guarantor a personal 1040 and a personal financial statement. LenderAnalyzer reads all of these in one pass, keeps every extracted figure linked to its source page, and assembles the spread, DSCR and global cash flow from them, so the analyst reviews the numbers instead of keying them.
The 2006 interagency CRE guidance still frames how examiners read a community bank's book. A bank draws heightened scrutiny when construction and land development loans reach 100% of total capital, or total commercial real estate reaches 300% of total capital and the CRE portfolio has grown 50% or more in 36 months. Crossing those thresholds does not cap lending, but it raises the expectation that every CRE credit carries documented cash flow, stress testing and a defensible risk rating. That is a direct argument for consistent, automated spreads: the more concentrated the book, the less an examiner tolerates a hand-keyed workbook that two analysts would fill out differently.
Speed sells the software internally; consistency is what survives an exam and a CECL review. When every analyst keys figures by hand, two reviewers can spread the same borrower differently and a transposed number flows straight into the risk rating and the allowance. Underwriting software that extracts each line item the same way every time, and keeps it traceable to the source document, removes that variance. LenderAnalyzer links every value to the page and transaction it came from, so a reviewer, an auditor or an examiner verifies the spread rather than trusting a grid someone typed.
Most community bank commercial borrowers are closely held, so the guarantor is part of the credit. Global cash flow combines the business cash flow with each owner's personal income, less living expenses and personal debt service, and any affiliated entities they control, netting out distributions so the same dollar is not counted twice. The global DSCR that falls out tells the committee whether the whole relationship covers the whole obligation. Building it by hand across a business return, two personal 1040s and a rental schedule is slow and error-prone; it is exactly the kind of mechanical consolidation software should produce and an analyst should review.
It sits in front of both. The core holds the customer and the booked loan; the loan origination system runs the pipeline and the approvals. Neither reads a borrower's 1120S and tells you the add-back adjusted cash flow. That analysis layer is either an analyst in a spreadsheet or a document analysis tool. LenderAnalyzer is the latter: documents in, spread, DSCR, global cash flow and risk flags out, delivered through an Excel export or a REST API into whatever core, LOS or credit workflow the bank already runs. No conversion, no rip-and-replace.
The realistic options for a community bank credit department, and where a self-serve document analysis layer fits. Last updated July 2026; the enterprise platforms are quote-based, so confirm current pricing with each vendor.
| Approach | Best for | What it covers | Self-serve | Pricing |
|---|---|---|---|---|
| LenderAnalyzer This page | Community banks that want fast, consistent analysis on every commercial file without an implementation | Reads tax returns, financials, debt schedules and bank statements; produces the spread, DSCR, global cash flow and risk flags | Yes, free live analysis, no sales call | Transparent, $99 to $399/mo |
| Abrigo (Sageworks) | Community banks wanting spreading, risk rating and CECL in one credit platform | Auto-spreading, global cash flow, credit risk workflow and portfolio reporting | No, sales demo first | Quote-based enterprise |
| Baker Hill NextGen | Community banks standardizing origination across consumer and commercial | Loan origination, decisioning and portfolio risk with spreading built in | No, sales demo first | Quote-based enterprise |
| nCino | Banks consolidating the whole lending workflow on one cloud platform | End-to-end commercial origination, approvals and servicing | No, platform implementation, typically months | Quote-based enterprise |
| Moody's CreditLens | Banks analyzing complex, multi-entity commercial credits | Spreading, ratio analysis and proprietary credit risk data | No, enterprise rollout | Quote-based enterprise |
| Excel spreading template | Very low volume | Whatever the analyst keys and computes, inconsistent between reviewers | Not applicable | Hours of analyst time 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.
It is software that automates the analysis behind a community bank's commercial lending decisions. It reads the borrower's business and personal tax returns, financial statements, debt schedules and bank statements, extracts every line item, and computes the spread, debt service coverage ratio, global cash flow and risk flags the credit policy requires. LenderAnalyzer covers that document and analysis layer self-serve from $99 a month, without a core conversion.
No. The enterprise credit and origination platforms bundle spreading into a full lending system on an annual contract with a multi-month rollout, which fits larger institutions standardizing one platform. A community bank that mainly needs faster, more consistent spreads can run the document and analysis layer on its own and export the result to whatever core and LOS it already uses. Many banks add origination workflow later, once volume justifies the implementation.
Typically two to three years of business tax returns with all schedules and K-1s, interim financial statements current to within 90 days, a business debt schedule, six to twelve months of operating account bank statements, and for each meaningful guarantor a personal 1040 and a personal financial statement. LenderAnalyzer reads all of these document types in one pass and assembles the spread, DSCR and global cash flow from them.
The interagency CRE guidance flags a bank for heightened scrutiny when construction and land development loans reach 100% of total capital, or total CRE reaches 300% of total capital with 50% or more growth over 36 months. It does not cap lending, but it raises the expectation that every CRE credit carries documented cash flow, stress testing and a defensible risk rating. That makes consistent, automated spreading and cash flow analysis more valuable as the CRE book grows.
Spread the business return to cash flow available for debt service by adding back interest, depreciation, amortization and non-recurring items to net income. Then combine that with each guarantor's personal income, less living expenses and personal debt service, and any affiliated entities they control, netting out distributions so the same dollar is not double-counted. Divide the combined cash flow by combined debt service to get the global DSCR. Most community bank policies want 1.20x to 1.25x, set by policy and collateral type.
No, and it is not meant to. LenderAnalyzer does not hold your customer records, run the approval workflow, or produce CECL and regulatory filings. It automates the document and analysis layer underneath: extraction, spreading, cash flow, DSCR, global cash flow and risk flags, exported to Excel or delivered through a REST API into whatever core, LOS or reporting system you already run.
LenderAnalyzer is self-serve with public pricing at $99, $199 and $399 a month, roughly half off on annual billing, and a credit analyst can start uploading files the same day. The enterprise credit and origination platforms community banks evaluate alongside it are quote-based with no public pricing, generally carry an annual contract and an implementation period, and are sized to the institution's asset base.
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