Ocrolus does not publish a price list. Third-party data puts the median contract at $98,250 a year, per page rates near $0.50 to $2.00. LenderAnalyzer is an independent alternative.
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Ocrolus sells document analysis to lenders, and like almost every vendor in that market it runs a sales-led motion. There is no pricing page, no published rate card, and no self-serve checkout. The first number you see arrives after a discovery call in which somebody asks about your monthly document volume, which document types you need, whether you want the human verification layer, and how you plan to integrate. That is not evasion so much as how the category works: the cost of processing a thousand mortgage files a month and the cost of processing forty merchant cash advance applications are genuinely different problems, and a single list price would be wrong for both.
The practical result is that a lending operations lead trying to build a budget has nothing to anchor on. You cannot compare Ocrolus to two other vendors if none of the three will tell you a number before a third meeting. So this page assembles the evidence that does exist in public, labels each figure with where it came from, and is explicit about the difference between a reported benchmark and an official rate. Nothing here is quoted from Ocrolus, because Ocrolus does not publish it.
If you are further along and already know you want an alternative rather than a quote, the comparison table below and the Ocrolus alternative breakdown will be more useful than the pricing detail. If you are still building the business case, start with the cost drivers section, because the variables that move an enterprise document quote are not the ones most buyers expect.
Every figure below is attributed. Where a number comes from third-party contract data or an independent benchmark rather than from Ocrolus, it says so. Treat all of it as a planning range for a first conversation, not as a rate you can hold a vendor to.
This is the single most important thing to understand before your first call, because it changes which internal number you need to bring. Enterprise lending platforms like nCino or Abrigo price against your institution: asset size, seats, modules. Document analysis vendors price against throughput. You are buying processing capacity, so the question that determines your cost is how many documents, and how many pages inside those documents, you push through in a month. A lender with six underwriters running high volume can easily pay more than a lender with thirty underwriters running complex, low volume deals. Before you talk to anyone, pull your actual monthly document count and your average page count per file. If you cannot produce those two numbers, you cannot evaluate any quote in this category.
Independent write-ups of the category consistently land on a range of about $0.50 to $2.00 per page for Ocrolus-tier document analysis. For a three page bank statement that is roughly $1.50 to $6.00 per statement, and a borrower file with three months of statements from two accounts can therefore run $9 to $36 in processing alone. That per page figure is not published by Ocrolus and should be treated as a benchmark rather than a rate. It is still useful, because it gives you a sanity check: multiply your monthly page count by both ends of the range and you have the bracket your quote will most likely fall inside. If the number that comes back is far outside that bracket, ask what is driving it.
Vendr, which aggregates real software purchase data, reports a median Ocrolus contract of $98,250 per year with observed contracts ranging from $48,000 to $463,500. Two caveats matter. First, that dataset skews toward larger buyers, because companies that use a procurement platform are usually not small. Second, a median is not a floor: it tells you what a typical negotiated deal looked like, not the smallest deal Ocrolus will write. What it does establish reliably is the order of magnitude. This is a five to six figure annual commitment, not a monthly subscription you expense on a card, and you should plan the internal approval path accordingly.
Usage pricing sounds like it scales down, and in this category it usually does not. Contracts are typically annual with a committed volume, which means you pay for the capacity you forecast whether or not you use it. A lender who forecasts optimistically in January is buying unused capacity all year. If your volume is seasonal, and in lending it very often is, ask specifically how unused volume is treated: whether it rolls over, whether you can true up rather than commit upfront, and what happens if you overrun. The answers vary and they are negotiable, but only if you raise them before signing.
The license is one line of the budget. Getting document analysis into an underwriting workflow is another. That means API work to push files and pull structured output, mapping the vendor output onto your own fields, and a validation period where somebody reconciles machine output against manual spreads until the credit team trusts it. For an API-first integration into a loan origination system this is engineering time you either have or have to buy. Vendors will not usually quote this because it is your cost, not theirs, which is exactly why it gets left out of business cases and then blows the first year number. Ask for a reference customer of similar size and ask them how long their rollout actually took.
Part of what Ocrolus has historically sold is not pure machine extraction but a review step that raises accuracy on difficult documents. That is a genuine product advantage for lenders whose files are full of scanned, photographed or poor quality statements, and it is also a cost driver, because human review does not get cheaper with scale the way compute does. If your document mix is mostly clean digital PDFs downloaded from online banking, you may be paying for a layer your files do not need. If your mix is heavy on phone photographs of paper statements, that layer is a large part of why you would choose this category at all. Audit a representative sample of your last hundred files before you decide which of those two lenders you are.
Public sources disagree on this point. Some listings describe a limited trial covering a small allowance of pages across bank statements, W2s, 1040s and pay stubs. Others state plainly that there is no self-serve signup and no public API sandbox. That contradiction most likely reflects programs that changed over time or that are offered selectively during a sales cycle. The practical answer is that you should ask for a proof of concept on your own documents and treat any trial as something to negotiate rather than something to sign up for. Never evaluate document extraction on a vendor sample file, because vendor samples are clean and your pipeline is not.
This page is published by a competitor, so it is worth being direct about where Ocrolus is the better purchase. If you are processing at genuine scale, if your document mix is messy enough that a verification layer materially changes your loss rate, if you need a deep integration into an established mortgage or fintech origination stack, or if procurement requires the kind of enterprise agreement, security review and support commitment that only a large vendor will sign, then the commitment is defensible and a lighter tool will frustrate you. The case for a published-rate alternative is strongest at the other end: when the bottleneck is analyst hours spent reading statements rather than throughput at scale, and when a five figure annual floor cannot be justified against the volume you actually run.
What each option charges and who it fits. Figures marked as reported come from third-party contract data or independent benchmarks, not from the vendor. Last updated August 2026.
Swipe sideways to see the full comparison
| Vendor | Pricing model | What you can verify today | Best for |
|---|---|---|---|
| LenderAnalyzer This page | Published subscription, priced on monthly page allowance | $99/mo Starter and $199/mo Growth, then volume tiers at $399, $1,199 and $3,990/mo for 35,000, 100,000 and 350,000 pages. Roughly half those rates billed yearly. Self-serve signup, no demo call required to see the number | Lenders who want the analysis output, a public price and a same-day start without a procurement cycle |
| Ocrolus | Quote-based, per document with an annual committed volume | No published rate. Reported median contract $98,250/yr across a $48,000 to $463,500 range (Vendr). Independent benchmarks put per page cost at roughly $0.50 to $2.00. Sales contact required | High volume mortgage and fintech lenders with messy document mixes who need a human verification layer and a deep integration |
| Enterprise lending suites (nCino, Abrigo, Baker Hill type) | Quote-based, priced per institution rather than per document | No published rates. Abrigo contracts are reported at a $9,056 median across a $5,694 to $105,316 range (Vendr), though a full lending suite plus implementation runs far higher | Institutions replacing the whole origination and credit workflow, not just the document step |
| Low-cost statement converters (DocuClipper type) | Published low monthly subscription | Entry plans advertised from around $20/mo. Genuinely cheaper than anything else here, and honestly so | Bookkeepers and small teams who need statements turned into spreadsheets rather than underwriting analysis, ratios and risk flags |
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.
Ocrolus does not publish pricing, so there is no official answer. Third-party contract data from Vendr reports a median Ocrolus contract of $98,250 per year, with observed contracts between $48,000 and $463,500. Independent benchmarks put per page processing at roughly $0.50 to $2.00. Expect a five to six figure annual commitment and a sales conversation before you see a firm number.
No. There is no public rate card or pricing page, and no self-serve checkout. Pricing is quoted after a discovery call that establishes your monthly document volume, document types, whether you need the human verification layer, and how you intend to integrate. Every public figure about Ocrolus cost comes from third-party contract data or independent benchmarks rather than from the company.
Billing is document based, and the page count inside each document is what drives the cost. Independent benchmarks put the rate near $0.50 to $2.00 per page, which is roughly $1.50 to $6.00 for a typical three page bank statement. A borrower file containing three months of statements across two accounts can therefore cost $9 to $36 in processing before any analyst touches it.
Public sources contradict each other. Some listings describe a limited trial covering a small page allowance across bank statements, W2s, 1040s and pay stubs, while others state there is no self-serve signup and no public API sandbox. Treat a trial as something to negotiate during the sales cycle, and insist on running it against your own documents rather than a vendor sample.
Because the cost of serving two customers in this category genuinely differs. Volume, document types, document quality and the depth of the verification layer all move the real cost of delivery, so a single list price would be wrong for most buyers. The tradeoff is that buyers cannot compare vendors without running three parallel sales cycles, which is the main reason published-rate alternatives exist.
No minimum is published. Contracts in this category are typically annual with a committed monthly volume, which means you pay for forecast capacity whether or not you use it. Before signing, ask specifically whether unused volume rolls over, whether you can true up instead of committing upfront, and what the overage rate is. Those terms are negotiable, but only before signature.
Yes, with a real tradeoff. Published-rate tools including LenderAnalyzer start at $99 a month and cover cash flow analysis, balances, recurring deposits, NSF and overdraft detection and risk flags without a procurement cycle. What you give up is the human verification layer and the enterprise integration depth. If your files are mostly clean digital PDFs and your bottleneck is analyst hours rather than throughput, the tradeoff usually favors the cheaper option.
Ocrolus is a private company and does not report revenue publicly, so any figure you find is an estimate from a data vendor rather than a disclosure. It is a well funded venture-backed company serving mortgage and fintech lenders at scale. For a buying decision the revenue figure matters less than two things you can actually verify: whether the vendor will commit to your security and support requirements, and whether reference customers of your size completed rollout on schedule.
How credit teams run these calculations by hand, so you can see exactly what the software automates.
A feature by feature look at what you keep and what you give up.
What the wider category costs, including implementation fees.
The core product these vendors are all competing on.
The same pricing breakdown for the closest fraud-focused rival.
Usage-based decision engine pricing, and whether you need an engine.
The engineering cost most build business cases understate.
The published-rate end of the market, with verified plan prices.
What a connection based feed costs once declines are counted.
What an LOS actually costs, from the only vendor disclosure in the public record.
Analyze your first statements free, plans from $99/month, 50% off billed annually.
