Document AI Pricing for Lenders in 2026

Last updated September 2026

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Document AI for lenders is priced four incompatible ways, and that is why quotes are so hard to compare. Hyperscaler APIs bill per 1,000 pages (Google Document AI charges $30 per 1,000 pages for its Custom Extractor and Form Parser). Document AI platforms bill per page, per document or per credit. Lending specialists like Ocrolus bill per statement, per application or per funded loan and publish nothing. Analysis tools bill a flat monthly subscription. Below is every rate we could verify on 9 September 2026, with the billing unit labeled on each row, so you can compare like with like.

Document AI pricing for lenders, compared

Every figure here came from the vendor's own pricing page or from its Capterra listing, checked on 9 September 2026. Where a vendor publishes nothing, the row says so rather than guessing.

VendorPublished priceBilling unitReturns underwriting metrics?
Google Document AI (Custom Extractor, Form Parser)$30.00 per 1,000 pagesPer pageNo
Google Document AI (Layout Parser, prebuilt invoice and receipt)$10.00 per 1,000 pagesPer pageNo
Nanonets$50 free credits, then $100/mo for 100 credits; runs cost $0.02 simple, $0.10 standard AI, $0.30 complex AIPer block runNo
VeryfiPublished tiers, roughly $0.08 to $0.25Per documentNo
ParseurFree tier, then from $9/moPer month, page-tieredNo
DocuClipperFrom $20/mo billed annually, $29 month to monthPer month, page-tieredNo
DocsumoNothing on its own site; Capterra lists $25/mo usage-basedUsage based, volume tieredNo
RossumCapterra lists $18,000 per yearPer yearNo
OcrolusNothing published; sales-gated custom quote, typically annualPer statement, application or funded loanYes
LenderAnalyzerPublished, from $99/mo with volume and enterprise tiersFlat monthly, no per-page meteringYes

Two things jump out of that table. The raw extraction layer is cheap and getting cheaper, with published rates measured in cents per page. The lending-specific layer is the part nobody prices in public.

How much does document AI cost per page?

Between $0.01 and $0.03 per page at list price for structured extraction, if you buy it from a cloud provider and do the integration yourself. Google Document AI publishes $30 per 1,000 pages for its Custom Extractor and Form Parser, which is $0.03 a page, and $10 per 1,000 pages for the Layout Parser and its prebuilt invoice and receipt parsers. Plain OCR with no structure is cheaper again. Platform vendors that wrap models in a UI, validation rules and workflow charge more per page and bundle the tooling.

The per-page number is the easiest one to get and the least useful on its own, because a page of a bank statement and a page of a scanned tax return consume very different amounts of processing, and most vendors tier the rate by monthly volume.

How much does Ocrolus cost?

Ocrolus does not publish a price. Every evaluation goes through a demo and a custom quote, usually on an annual contract with a volume commitment. Third-party estimates of the actual rate conflict so badly that they are worth treating as unreliable: published figures range from roughly three cents per document, through $0.50 to $2.00 per statement, up to $5 to $10 per document. Those numbers are not describing the same thing. They are describing different billing units at different volumes, which is exactly the confusion an unpublished rate card creates.

What is documented is the structure. Ocrolus bills standalone products by form, statement, book, page or document, and its mortgage products use per-application pricing with funded-loan billing available on eligible Analyze tiers. If you are budgeting, the only defensible approach is to get the quote in your own billing unit and convert it to cost per loan file yourself.

How much does Docsumo cost?

Also unpublished. We requested docsumo.com/pricing directly on 9 September 2026 and there is no dollar figure anywhere on the page. It shows a free 14-day trial and two paid cards, Business and Enterprise, both reading "Talk to us". Capterra lists a starting price of $25 per month on a usage-based model with a free version included, but that number does not appear on Docsumo's own site.

The page also disagrees with itself, which is worth knowing before you size a trial. The plan cards credit the free tier with up to 1,000 free pages, while the FAQ further down the same page describes a free plan with 100 pages and a Growth plan at 5,000 pages a month that does not appear on the plan table at all. Docsumo's FAQ does confirm the model is volume-tiered, with per-page cost falling as volume rises. See our fuller breakdown of Docsumo alternatives and competitors for lenders for the review data and the feature comparison.

What does document AI actually cost per loan file?

This is the number that belongs in a budget, and you can build it in about a minute. Take a typical small-business credit file: twelve months of statements on one operating account runs about 48 pages, two years of business and personal tax returns adds roughly 30 to 60 pages, and financial statements add a handful more. Call it 90 to 110 pages per file, and more if the borrower banks in two places.

At Google's $0.03 per page for custom extraction, that is about $3.00 per file in raw API cost. At a platform rate of $0.10 per page it is around $10 per file. At $1.00 per statement across twelve statements it is $12. Multiply by your monthly application count, then remember that you pay for declines and withdrawn files too, which on most books is the majority of what you process.

Is per-page pricing cheaper than a flat subscription?

Only below the crossover, and the crossover arrives sooner than most teams expect. At a metered $0.10 per page, a $99 monthly subscription is worth about 990 pages, which is roughly ten to eleven complete credit files. If you underwrite more than a dozen files a month, flat pricing is cheaper and, more importantly, predictable. Below that, metered wins on cost but exposes you to a bill that moves with volume in a business where volume is seasonal.

Two billing details decide more of this than the headline rate. Ask whether unused monthly credits roll over, because on most metered plans they do not, and a slow quarter is money burned. Ask whether auto-debit is enabled by default, because on several of these platforms it is. Annual commitments typically carry a discount in the 10 percent range and issue all credits upfront, which suits seasonal lending far better than a monthly plan with no rollover.

What is not included in any of these prices?

The analysis. Every vendor in the table above except Ocrolus and LenderAnalyzer returns structured fields and stops. That is a real product and a real cost saving over manual keying, but it is not an underwriting answer. Someone on your team still has to compute average daily balance, separate true revenue from internal transfers, count NSF events and negative days, identify recurring income streams, find existing loan and advance repayments, and check for stacking.

Price that work honestly and it usually dwarfs the API line. An analyst spending 45 minutes per file on cash flow work, at a fully loaded cost of $45 an hour, is roughly $34 per file. That is ten times the $3.00 of raw extraction. It is why comparing document AI vendors purely on cost per page tends to optimize the small number while leaving the big one untouched, and why a tool that returns computed metrics can be more expensive per page and still cheaper per file.

Which pricing model should a lender choose?

Match the model to how your volume behaves. If your monthly file count is steady and high, a negotiated per-unit rate with a volume commitment will beat list pricing, and it is worth the sales cycle. If volume is lumpy or seasonal, which describes most community lenders, brokers and specialty funders, flat pricing removes the risk of a spike arriving in the same month as a slow one.

If you are still early and want to test accuracy on your own documents before committing a budget, published pricing matters more than the rate itself. Nanonets, Veryfi, Parseur and LenderAnalyzer all publish numbers you can act on this week. Ocrolus and Docsumo both require a conversation first. Neither approach is wrong, but one of them lets you validate on your own files before you spend anything.

One more cost that never appears on a pricing page: getting documents to the tool in the first place. On most lending teams, statements and returns arrive as email attachments that someone downloads, renames and uploads by hand. If that is where your minutes actually go, it is worth connecting the mailbox itself so attachments are read where they land rather than paying a person to shuttle files.

Getting a number you can defend

Convert every quote into one unit before you compare anything: dollars per completed credit file, including declines. Ask each vendor what happens to unused volume, whether the rate is tiered and where the tiers sit, what the minimum term is, and whether the price covers analysis or extraction only. Then run the same ten real files through each shortlisted tool and compare the output, not the demo.

Figures verified September 2026 against vendor pricing pages and Capterra listings. Pricing in this category changes often, so confirm current rates with each vendor before you commit. If you want the computed side rather than the extraction side, our bank statement analysis software returns cash flow, NSF, negative days, recurring income and existing debt already calculated, and you can see what it produces on a real file from $99 a month. For the API route, the same metrics are available through our bank statement analysis API.

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