Finding reliable information about Ocrolus pricing can be frustrating because it doesn’t publish exact prices. Ocrolus does explain its billing units and mortgage tiers, which gives lenders a clearer starting point for evaluating pricing.

That information is also useful when comparing Ocrolus competitors that offer document processing and mortgage automation.

This article explains how Ocrolus measures usage, how its mortgage tiers are billed, and what to consider when comparing pricing.

TL;DR

• Ocrolus pricing doesn’t include exact prices, but Ocrolus documents its billing units and mortgage tiers.

• Standalone products use units such as pages, forms, statements, Books, or documents.

• Ocrolus bills mortgage tiers per application, with funded-loan billing available for eligible Analyze tiers.

• Product scope, billing units, page limits, and contract terms provide useful context when evaluating a proposal.

• Addy gives lenders another option for loan preparation, missing-document requests, guideline checks, and early file assessment.

How Ocrolus Pricing Works

Ocrolus doesn’t publish transparent pricing with exact prices, but it does document its billing structure. The applicable unit depends on the product or mortgage tier.

Standalone products may use forms, statements, Books, pages, or individual documents. Mortgage products use per-application pricing, with funded-loan billing available for eligible Analyze tiers.

For lenders comparing financial document processing software, these units show what Ocrolus counts when measuring product usage.

Ocrolus Pricing Units Explained

Ocrolus uses several billing units:

• Page: One processed page within a file.

• Form: One document, such as a pay stub, tax schedule, or ID.

• Statement: One month of activity for a single bank account.

• Book: A complete file submitted for processing, regardless of length.

• Document: One file processed by products such as Detect.

• Application: The billing unit used for mortgage tiers.

• Funded loan: An available option for eligible Analyze tiers.

The billing unit reflects what the product processes. Bank statement analysis, for example, may use statement, page, or Book counts because it analyzes banking records rather than a full mortgage application.

That distinction becomes more useful when looking at individual Ocrolus products.

How Ocrolus Bills Its Standalone Products

Ocrolus assigns a billing unit to each standalone SKU:

• Classify: Base Book count or form count

• Bank statement analysis: Statement, page, or Base Book count

• Income: Form count

• Identification: Form count

• Tax Forms: Form count

• Other documents: Form count

• Detect: Per document

The billing method follows the type of processing involved.

Bank statement analysis extracts account information and transactions from bank statements. Income uses data extraction to capture information from pay stubs and employment records.

Detect checks financial documents for tampering, manipulation, and other mortgage fraud red flags, including altered documents. Tax forms use form-based billing, with Ocrolus extracting fields from individual tax records.

Ocrolus also analyzes financial information for income and cash flow analytics. That capability may matter to financial institutions considering broader lending use cases.

These differences explain why Ocrolus doesn’t use one pricing metric for every document workflow.

How Does Ocrolus Mortgage Pricing Work?

Ocrolus packages its mortgage products into application-based tiers that combine classification, capture, and analysis.

Mortgage Pre-Qual Application and Home Equity Mortgage Application use per-application billing. Ocrolus may bill eligible Analyze tiers per application or funded loan.

Page limits depend on the agreement.

Mortgage Pre-Qual Application

Mortgage Pre-Qual Application covers the lighter file set used during pre-qualification and early pipeline work. It can extract data from income and asset records before underwriting.

Capture converts that information into fields for downstream processing with less manual entry. Ocrolus bills the tier per application, with page limits set by agreement.

Home Equity Mortgage Application

This tier processes home equity and Home Equity Line of Credit (HELOC) files. It organizes borrower, income, and asset data by document type and borrower.

Ocrolus reports 99%+ accuracy for eligible files. The tier uses per-application billing, with page limits determined by the agreement.

Analyze

Analyze applies mortgage analytics to qualifying income and assets from a complete application. Ocrolus may bill the product per application or funded loan.

Calculations can follow Fannie Mae, Freddie Mac, Federal Housing Administration (FHA), Department of Veterans Affairs (VA), or U.S. Department of Agriculture (USDA) guidelines. A user can select the applicable program within the Ocrolus dashboard.

Analyze + Inspect

Analyze + Inspect generates conditions from submitted documents, the 1003, and automated underwriting system (AUS) findings. It also flags discrepancies that may require underwriter attention.

Ocrolus uses a format designed for direct loan origination system (LOS) import. Two-way Encompass integration connects the process with existing systems used in mortgage lending.

Ocrolus may bill this tier per application or funded loan.

Analyze + Inspect (Comprehensive)

The Comprehensive tier adds collateral, title, and property-related quality control requirements to the document automation process. It also includes investor-specific tasks, compliance checks, and overlays.

Ocrolus bills this tier per application or funded loan. Page limits depend on the agreement.

Comparing Ocrolus with mortgage automation that also covers conditions and borrower follow-up? Book a demo with Addy today.

What to Gather Before Reviewing an Ocrolus Quote

Ocrolus doesn’t publish a complete formula for calculating quotes. Lenders need enough operational detail to identify the relevant products and billing units.

Different workflows may require different Ocrolus tools. Expected volume also matters when application-based and funded-loan billing are available for the same tier.

Document Your Processing Requirements

Before reviewing a proposal, gather:

• Monthly application and funded-loan volume

• Typical file size and page count

• Document types and unstructured documents processed

• Income, asset, and bank statement analysis requirements

• Fraud detection requirements

• Inspect or Comprehensive conditioning requirements

• LOS and integration requirements

• Application programming interface (API) requirements

• Any human-in-the-loop verification criteria

These details clarify the work included in the proposal. They also distinguish automated extraction from processing that may involve human verification.

Check Implementation and Contract Requirements

If the proposed scope includes other digital data, confirm how Ocrolus will count those files. Digital PDFs, invoices, or other records may not use the same billing unit as mortgage files.

Financial institutions should also consider who will use the system. For non-technical users, confirm whether the dashboard handles their tasks or requires API access.

Double-check integrations, page limits, implementation support, rollout plans, and any security service requirements. These details help lenders compare contracts using equivalent requirements.

Ocrolus doesn’t identify every item above as a direct pricing input. Treat them as proposal requirements rather than confirmed pricing variables.

Public materials alone also don’t show how much money a specific configuration will cost. The final quote determines that figure.

Once the scope is established, lenders can compare Ocrolus with other mortgage automation platforms using similar requirements. Addy is one option for a broader origination workflow.

Automate More of Mortgage Origination With Addy

Addy connects document processing with loan preparation and borrower communication.

Extract Mortgage Data and Check Loan Conditions

Addy’s Document AI uses computer vision, AI models, and human validation to extract borrower information. It verifies mortgage data and processes it accurately, reducing repeated entry and related errors.

The Processing Checklist compares loan documents with AUS findings and lender guidelines. It flags missing items and open conditions for the lending team.

Request Missing Documents From Borrowers

Addy can contact clients by email, text, or phone when documents are outstanding. Its AI agents can continue follow-ups without requiring loan officers to manage every request manually.

The agents can also send updates to real estate partners, title agents, and other loan participants.

Connect Addy With Existing Mortgage Systems

Addy integrates with LOS, CRM, and POS platforms. Its browser extension lets loan officers examine files, search guidelines, and price scenarios within their existing systems.

The platform also offers two-way LOS sync, including with systems such as Arive. Addy provides accurate mortgage guideline answers through its AI assistant.

Addy reports SOC 2 Type 1 compliance. Lenders can include that credential when assessing security and how the technology handles client data.

Pre-Underwrite Loans With Addy in ChatGPT

Addy integrated with OpenAI to bring its mortgage-focused AI agents into ChatGPT. The app covers pre-qualification, scenario analysis, income, asset, and credit checks, plus missing-document identification.

Addy’s ChatGPT app can pre-underwrite mortgage loans in under five minutes. That speed gives loan officers useful findings before formal underwriting begins.

Addy also offers pre-built and customizable AI agents for teams planning to scale more lending workflows. The relevant comparison is whether the technology covers the work your operation wants to automate.

Book a demo with Addy to discuss the mortgage tasks your team wants to automate.

FAQs About Ocrolus Pricing

Does Ocrolus charge per user?

Ocrolus describes usage-based billing units rather than per-user charges. They don’t identify per-user plans or a free user tier.

Can Ocrolus integrate with my existing systems?

Yes. Ocrolus offers Encompass integration and API access for connecting extracted information with existing systems.

For lenders and credit unions, those connections can send information into mortgage, financial, and accounting software used elsewhere in the operation.

Does Ocrolus offer fraud detection tools?

Yes. Ocrolus Detect reviews documents for tampering, manipulation, anomalies, and other fraud signals.

Detect can protect the loan process by flagging altered records. Ocrolus positions Detect as a fraud-review product, not a standalone security service.

What financial documents can Ocrolus process?

Ocrolus processes bank statements, pay stubs, W-2s, 1099s, tax forms, IDs, and other financial records. Its extraction products convert document fields into usable data for accurate downstream processing.