Hyperscience Pricing for Lenders in 2026

Hyperscience does not publish pricing on its website, but its own AWS Marketplace listing does: $50,000 for a 12-month Hypercell contract, sold as HS Private Cloud Professional. That is the entry point, before volume, services and custom terms. User-reported rates run from about $1.50 per page to fixed fees against a minimum page count. For a lender the number that matters is cost per loan file, and the $50,000 floor alone works out to roughly $42 per file at 100 files a month, or about $4 at 1,000 a month, before anyone computes a single underwriting metric.

Every figure below was checked on 10 September 2026 against Hyperscience's site, the AWS Marketplace listing and price files, Capterra and PeerSpot. If you are comparing vendors rather than budgeting for this one, our Hyperscience alternatives and competitors for lenders page puts it side by side with Ocrolus, Textract, Google Document AI, Docsumo and Infrrd.

Hyperscience pricing at a glance

For context, here are the published per-page rates lenders run into most often. Amazon Textract's Analyze Lending API, which classifies and extracts mortgage application packages, costs $0.07 per page for the first million pages a month and $0.055 per page after that. Google Document AI's Custom Extractor costs $30 per 1,000 pages, which is $0.03 a page. LenderAnalyzer is a flat subscription from $99 a month with volume and enterprise tiers.

How much does Hyperscience cost?

At least $50,000 a year for a platform contract bought through AWS Marketplace, and more for most enterprise deployments. Hyperscience sells through its own sales team and through AWS, where the Hypercell SaaS listing shows a single priced dimension, HS Private Cloud Professional, at $50,000 per 12 months. The buyer can change the quantity and request a private offer, which is where larger volumes and multi-year discounts get negotiated.

What the listing does not tell you matters just as much. It states no page allowance, no overage rate and no price for implementation services. There is no self-serve tier anywhere. Capterra, which still lists the product under its older name HyperEXTRACT, records pricing as contact vendor, with no free trial and no free version, from a single review.

How much does Hyperscience charge per page?

There is no published per-page rate, and the handful of user reports disagree. On PeerSpot, a principal data scientist at a large technology services firm reported roughly $1.50 per page and added that most cloud vendors charge around 50 cents. An operations manager at Genpact described several pricing models, one of them a fixed price against a minimum number of pages. An automation lead at an insurer rated affordability two out of five without naming a figure, while an OCR developer called Hyperscience cheaper than other tools and mentioned a lifetime licensing option.

Those four comments describe different contracts, different volumes and probably different years, so do not budget from any single one. What they agree on is the shape of the deal: an annual commitment tied to page volume, with the effective rate per page falling as volume rises.

What does Hyperscience cost per loan file?

Start with the file. A typical small business credit package has twelve months of statements on one operating account (about 48 pages), two years of business and personal tax returns (roughly 30 to 60 pages) and a few pages of financial statements. Call it 100 pages. A mortgage package is often bigger. Here is what 100 pages costs under each published or reported rate.

Two cautions. The floor rows assume the $50,000 contract covers the whole volume, and the listing does not promise that. And every row is extraction. None includes turning fields into underwriting numbers, and none excludes the files you process and then decline, which on most lending books are the majority of what comes through the door.

Is Hyperscience worth it for a lender?

For a large bank, servicer or high-volume mortgage lender, it can be. The MBA reported that independent mortgage banks earned $1,201 in pre-tax production profit per loan in Q3 2025, so the $50,000 floor equals the profit on about 42 loans. The MBA's average company closed 1,862 loans in Q2 2025; if that pace held for a full year, roughly 7,400 loans, the floor comes to under $7 per closed loan. A lender closing 30 loans a month pays about $139 per closed loan at the same floor, before services.

The better question is what the money buys. Hyperscience's real strengths are breadth and control: dozens of document types including handwriting, human review built in, FedRAMP High authorization, on-premises and air-gapped deployment, and Leader placements from Gartner and Forrester. A lender whose files are mostly bank statements, tax returns and financial statements pays for flexibility it will not use, and still has to build the analysis on top.

What is not included in a Hyperscience quote?

Mostly labor. Someone has to configure document types, design the workflow and staff the review queue where low-confidence fields land. Extend, a competing document AI vendor, writes that Hyperscience implementations often take several weeks to configure. That is a rival's view, but it matches how enterprise IDP projects go. File-level exceptions still land on a person, too: a missing month of statements, a return that does not tie to the deposits. Teams that already route those files to processors with task assignment software should keep that workflow in the budget, because no extraction license replaces it.

Then there is the analysis itself. After extraction, an underwriter still has to separate true revenue from transfers, count NSF events and negative days, compute average daily balance, find existing loan and advance payments, check for stacking and calculate DSCR. At 45 minutes of analyst time per file and a fully loaded $45 an hour, that is about $34 per file, often several times the extraction cost. A tool that returns those numbers directly can cost more per page and still cost less per file.

What are the cheaper alternatives to Hyperscience for lenders?

There are three routes, and they depend on who is on your team. If you have engineers and want the lowest cost per page, Amazon Textract's Analyze Lending API and Google Document AI both publish rates in cents. If you want a lending-specific enterprise vendor, Ocrolus is the closest match; it publishes no rate card either, and our breakdown of Ocrolus pricing covers what can be verified. If you want the underwriting numbers without an IDP program, LenderAnalyzer is bank statement analysis software that also reads tax returns and financial statements, self-serve from $99 a month.

For the whole market in one table, with the billing unit labeled on every row, see document AI pricing for lenders. If your goal is classifying and analyzing entire credit files, start with loan document automation software.

What should you ask Hyperscience for in a quote?

• The page allowance included in the annual fee, and the overage rate per page above it.
• The effective price per page at your real 12-month volume, counting declined and withdrawn files.
• Implementation and professional services as separate line items, with an estimate of weeks to production.
• Who staffs the human review queue, and how many hours a month Hyperscience expects it to take.
• Contract term, renewal price increase, and what happens to unused volume.
• Whether the price differs between SaaS, private cloud and on-premises deployment.
• Whether the output is extracted fields only, or computed metrics such as cash flow and income.

Get those answers in writing and convert them to cost per loan file before the quote goes to committee. Figures verified September 2026.