Automate the part of mortgage processing that eats the most hours: reading the borrower's statements and income documents. Upload the PDFs and get deposits by month, large items, NSFs and existing debts in Excel. From $99 a month.
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Ask a processor where the day goes and the answer is rarely the LOS. It is the stack of PDFs: two months of statements on a conventional file, 12 or 24 months on a bank statement loan, pay stubs, W-2s, a couple of returns, and a letter of explanation for every deposit that looks odd. Somebody opens each page, adds up the credits, finds the transfers, counts the overdrafts and types the result into a worksheet or a condition response.
That work has a price. The Mortgage Bankers Association reported that independent mortgage banks spent $10,936 in total production expense per loan in the second quarter of 2026, down from $11,898 in the first quarter, against a net production profit of $973 per loan. Contract processors publish their own number for the same job: $995 per funded conventional or FHA file and $1,100 for non-QM at one firm, $1,095 per funded file for full service at another. When a file costs that much to process, an hour saved per file is real margin.
LenderAnalyzer automates the reading. Upload the borrower's statements and income documents and it extracts every transaction, totals deposits by month, lists the largest deposits for sourcing, counts NSF and overdraft items, picks out recurring loan payments and computes average daily balance. Everything exports to Excel with the source page, so the processor checks and conditions instead of typing, and the underwriter gets numbers that trace back to the document.
We are not an LOS, a point of sale or a pricing engine, and we do not replace the processor who orders title, chases conditions and keeps the borrower calm. We take the document review off their desk, from $99 a month, with no implementation project.
"Mortgage automation" gets used for everything from a borrower portal to a full AI underwriting desk. These are the pieces a US broker or lender actually buys, what each one takes off the team's plate, and the part LenderAnalyzer handles.
The first automation most shops buy is the point of sale: the borrower uploads documents to a portal instead of emailing a phone photo of page 3. Floify, LendingPad and most LOS vendors do this well. It gets the PDFs into the file. It does not read them. A 40-page statement upload still lands on a processor as 40 pages, which is why intake automation alone rarely changes turn times as much as buyers expect.
This is the heaviest reading job on most files. Fannie Mae's asset rules generally want two months of statements for a purchase, and every large deposit needs a source. LenderAnalyzer extracts every transaction from each statement, totals credits and debits by month, pulls deposits above your threshold to the top and shows the ending and average daily balance, so sourcing large deposits becomes a checklist and the asset figure matches the statements.
Non-QM files multiply the work: 12 or 24 months of personal or business statements, an expense factor, an ownership percentage and usually a recent-period test. A contract processor charges more for these files for a reason; one publishes $1,100 for non-QM against $995 for conventional. Automating the monthly deposit totals is where software saves the most time per file, because the arithmetic is simple and the keying is not.
A credit report shows most debts, not all. Private loans, merchant cash advances, equipment leases and a car loan from a family member can all show up only as recurring debits on a bank statement. LenderAnalyzer groups recurring outflows and flags loan-like payments by description, so the processor sees a repeating $412 debit before the underwriter does, and asks about it before it becomes a suspense condition.
Most non-QM programs cap NSF instances, commonly 3 on 12 months of statements and 6 on 24 at the programs we reviewed, and underwriters read a pattern of overdrafts as a risk signal on any file. Counting returned items by hand across a year of statements is exactly the kind of task people get wrong at 6 pm. The software flags NSF, overdraft and returned-item lines and totals the fees across the whole period.
This is the part automation touches least and people still own: ordering title and appraisal, issuing disclosures on time, submitting to the investor, clearing conditions and getting to clear to close. Workflow tools in the LOS can send reminders and track due dates. They do not talk to a borrower who has not sent the missing page. Plan to keep a processor, in-house or contract, for this work.
Some lenders with engineering staff wire up a raw document API. Amazon Textract's Analyze Lending feature is published at $0.07 a page for the first million pages a month. A 100-page file costs about $7 in API fees, before anyone writes the code that classifies deposits, finds transfers and produces something an underwriter will sign. For most brokers and small lenders the build cost dwarfs the per-page price.
To be clear about scope: we do not originate, disclose, price, lock, order third-party services or submit to an investor, and we do not make the credit decision. We do not replace your LOS. LenderAnalyzer is the document reading and analysis layer: statements and income documents in, a traceable Excel workbook and summary out, in minutes instead of an afternoon.
Prices are the vendors' own published figures, checked in September 2026, except where marked as a directory figure. Where a vendor publishes no price, we say so.
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| Option | What it automates | Published price | What your team still does | Best for |
|---|---|---|---|---|
| LenderAnalyzer This page | Reads statements and income documents: transactions, monthly deposit totals, large deposits, NSFs, recurring debts, average daily balance, Excel export | From $99/mo (2,500 pages), $199/mo (10,000 pages, bulk upload), volume tiers above | Conditions, disclosures, third-party orders, investor submission | Brokers and lenders who want the document review off the processor desk without a new LOS |
| Contract processor (for example Willow Processing, The Contract Processors) | The whole processing job, done by licensed people rather than software | Willow: $1,095 per funded file full service, $995 limited; The Contract Processors: $995 conventional or FHA/VA, $1,100 non-QM or jumbo, $300 per resubmission | Origination and borrower relationship | Brokers without in-house processors who want a variable cost per closed loan |
| Point of sale and LOS workflow (for example Floify, LendingPad) | Borrower document upload, checklists, reminders, pipeline tracking | Floify $79 per user per month (directory figure); LendingPad brokers $40 to $100 per user per month, lenders $100 to $200 per closed loan | Reading and analyzing every document that gets uploaded | Teams that need intake and pipeline control first |
| Enterprise document AI (for example Ocrolus, Hyperscience) | Classification and extraction at scale, integrated with the LOS | Ocrolus: none published; Hyperscience: $50,000 per 12 months on AWS Marketplace | Implementation project, integration, exception handling | Large lenders with IT staff and high monthly volume |
| Raw extraction API (Amazon Textract Analyze Lending) | Page-level extraction of lending documents into structured fields | $0.07 per page for the first 1 million pages a month | All the analysis logic, the software around it and its upkeep | Lenders with engineers who want to build their own pipeline |
Comparison compiled by LenderAnalyzer from public vendor materials; see the date noted above each table. 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.
Mortgage automation software is any tool that takes a manual step out of originating, processing or underwriting a home loan. In practice that means borrower document portals, LOS workflow rules, document classification and data extraction, and income and asset analysis. LenderAnalyzer covers the document analysis step: it reads statements and income documents and turns them into totals an underwriter can check.
Document collection, classification, data extraction, bank statement totals, large-deposit lists, NSF counts, recurring-debt detection and income worksheet inputs are all well suited to automation. Ordering title and appraisal, clearing conditions with the borrower, and the final credit decision still need people. The biggest time saving on most files is in reading statements and income documents.
Not on current evidence. AI takes over the repetitive reading and keying, but a processor also chases missing documents, coordinates title, appraisal and the investor, and keeps the file on schedule, which is judgment and communication. The realistic result is that one processor handles more files, not that the role disappears.
It ranges widely. LenderAnalyzer starts at $99 a month. Point of sale tools run from about $40 to $100 per user per month for brokers at LendingPad, and Floify lists $79 per user in directories. Enterprise document AI is usually quoted, and Hyperscience lists $50,000 for 12 months on AWS Marketplace. Contract processing, the human alternative, runs about $995 to $1,100 per funded file.
It is processing where software does the document handling and data checks that a processor used to do by hand: pulling figures from statements, pay stubs and returns, matching them to the application, and flagging gaps. The processor then reviews exceptions and manages conditions. Done well it shortens turn times without changing who is accountable for the file.
It usually is when you close enough files that processing time limits growth. With contract processing near $1,000 a funded file and the MBA putting average production cost above $10,000 a loan, a tool that saves an hour of document review per file pays for itself quickly. Start with the heaviest reading task, usually bank statements, rather than replacing your LOS.
LenderAnalyzer does not, and most document tools do not. Your LOS remains the system of record for the application, disclosures, conditions and investor delivery. LenderAnalyzer works beside it: you upload the borrower's documents, review the extracted totals and flags, and carry the numbers or the Excel workbook into the file.
Extraction from clean digital PDFs is very accurate, and every figure in LenderAnalyzer links back to its source page so it can be checked. Scanned or photographed statements are harder, and edited PDFs are a fraud risk that deserves its own check. Underwriters should still review excluded deposits and anything flagged, because program rules decide what counts as income.
Yes, and that is where it saves the most time. A 24-month business bank statement file can hold thousands of transactions. LenderAnalyzer totals deposits by month, which makes the investor's recent-period test a simple sum, lists large deposits for sourcing and counts NSF instances, so the income worksheet can be filled in minutes.
Enterprise platforms often run a multi-week implementation with LOS integration. LenderAnalyzer needs no implementation: create an account, upload a statement and see the analysis in minutes. That makes it practical to test on a real file this week and decide on evidence rather than a demo.
How credit teams run these calculations by hand, so you can see exactly what the software automates.
Contract processor fees per file compared with software, with real price cards.
Income, assets and liabilities analyzed from the borrower documents.
Monthly deposits, NSFs and large items for 12 or 24 month programs.
Bank statement, P&L and asset programs underwritten from documents.
Extraction and review of loan documents for underwriting teams.
Pay stubs, W-2s, returns and statements checked against each other.
Altered PDFs and edited balances caught before the numbers are used.
Tools a processor uses day to day, compared by job.
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