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Aloan vs Ocrolus
Ocrolus is an excellent document-AI layer — classification, extraction, fraud detection, cash-flow analytics. Aloan is the full commercial underwriting platform: spreading, global cash flow, credit memos, and covenant monitoring, with source citations on every number.
How do Aloan and Ocrolus compare?
Ocrolus automates financial document analysis for lenders. Its product stack — Classify, Capture (Instant and Complete), Detect, and Analyze — extracts structured data from bank statements, pay stubs, tax forms, and mortgage documents, detects document tampering, and produces cash-flow analytics for SMB and consumer underwriting. Ocrolus' customer base leans toward fintech SMB funders, alternative lenders, and mortgage originators; commercial C&I deployments at US community banks are rare. Aloan is a full commercial loan underwriting platform for community banks and credit unions: it includes the document work Ocrolus does, then goes further — traditional commercial spreads (UCA cash flow, EBITDA reconciliation, DSCR, global cash flow), K-1 reconciliation across borrowing groups, examiner-ready credit memos with source citations, and post-booking covenant monitoring. Choose Ocrolus when you need a document data layer to embed in an existing underwriting workflow. Choose Aloan when you need the underwriting workflow itself, scoped for commercial credit at a community bank.
- Full commercial underwriting workflow — not just document data
- Traditional commercial spreads: UCA cash flow, EBITDA, DSCR
- K-1 reconciliation and global cash flow across guarantors
- Credit memo generation with source citations
- Covenant monitoring and annual reviews post-booking
- Purpose-built for community-bank commercial credit teams
- Strong document extraction accuracy on bank statements, pay stubs, tax forms
- Fraud detection with Authenticity Score (Detect)
- Instant Capture returns structured data in seconds
- Mature REST API used by fintech platforms and partners
- Not a full underwriting workflow — no credit memo, covenant, or LOS integration
- Community-bank commercial C&I adoption is rare; SMB/mortgage focus
Document AI + cash-flow analytics for lenders · Classify · Capture · Detect · Analyze · Instant · Book
When should you choose Aloan vs Ocrolus?
Choose Aloan when:
- →You need the full commercial underwriting workflow, not just document data
- →Your deals include tax returns, K-1s, Schedule E rentals, and multi-entity borrowing groups
- →Examiner-ready credit memos with source-cited numbers are required
- →You want covenant monitoring and annual reviews post-booking
- →You're a community bank or credit union underwriting commercial C&I or CRE deals
- →You don't want to build and maintain custom underwriting workflow software on top of a data API
Choose Ocrolus when:
- →You already own the underwriting workflow and just need a document-data layer
- →Your volume is fintech-scale SMB funding, consumer lending, or mortgage origination
- →Fraud detection and Authenticity Score on bank statements are a primary driver
- →You want a REST API to embed document extraction into a custom application
- →You're building cash-flow-based decisioning for SMB or consumer, not commercial credit spreads
- →Mortgage automated conditioning (Inspect) is specifically in scope
Detailed feature comparison
Product Scope
| Feature | Aloan | Ocrolus |
|---|---|---|
| What the product is | Full commercial underwriting platform | Document-AI and cash-flow analytics layer for lenders |
| Named modules | Document intelligence, automated spreading, credit memo generation, covenant monitoring | Classify, Capture (Instant / Complete), Detect, Analyze, Book, Inspect, Encore |
| Credit memo generation | Native, examiner-ready, cited memos | Not in product |
| Covenant monitoring & annual reviews | Native post-booking workflow | Not in product |
| Core integration (Jack Henry / Fiserv / FIS) | Designed to work with existing systems | Not a first-class product surface |
Document Intelligence
| Feature | Aloan | Ocrolus |
|---|---|---|
| Bank statement extraction | Line-level extraction with citations; feeds cash flow | Strong accuracy; feeds cash-flow analytics |
| Tax return coverage (1040, 1120, 1120S, 1065, K-1, Schedule E) | Native end-to-end, reconciled into global cash flow | Captures fields from 1120/1120S/1065/K-1; no reconciliation into commercial spread |
| Fraud / tampering detection | Risk flagging on financials and bank statements | Detect product with Authenticity Score — category-leading |
| Source-cited output | Every number traces to exact page | Field-level extraction with coordinates available via API |
| Human-in-the-loop option | Analyst reviews cited output before memo generation | Complete Capture routes lower-quality docs through human review |
Commercial Spreading & Analysis
| Feature | Aloan | Ocrolus |
|---|---|---|
| UCA cash flow | Native UCA output with citations | Not produced |
| EBITDA reconciliation (incl. M-1 / M-2 adjustments) | Native on 1120 / 1120S / 1065 | Not produced |
| DSCR / DCR computation | Native, cited | Not produced |
| Global cash flow across borrowing groups and guarantors | Automated multi-entity consolidation | Not produced |
| CRE analysis (rent roll, NOI, DSCR, LTV, debt yield) | Native | Not in scope |
Customer Fit
| Feature | Aloan | Ocrolus |
|---|---|---|
| Community banks & credit unions (commercial C&I) | Purpose-built | Rare; SMB funding and mortgage are the primary community-bank wins |
| Fintech SMB funders & alt-lenders | Not the target | Core customer base across fintech SMB funding |
| Mortgage origination | Not in scope | Mortgage is a named vertical (Inspect launched April 2025) |
| Consumer lending | Not in scope | Supported via Analyze cash-flow outputs |
| Typical deal size | Community-bank commercial tickets ($250k – $25M) | High-volume SMB and consumer cash-flow decisions |
Pricing & Deployment
| Feature | Aloan | Ocrolus |
|---|---|---|
| Pricing model | SaaS pricing scoped for community banks | Per-document + annual volume commitment (Free / On-demand / Commit tiers) |
| Pricing fit for community-bank commercial files | Per-institution pricing — predictable with 50–200 page credit files | Per-document economics can be unpredictable on large commercial packages |
| Deployment model | Works with existing LOS | API integration into a customer-built underwriting application |
| Implementation time | 2–4 weeks typical | API integration + build your own underwriting workflow on top |
The honest tradeoff: component vs. platform
Ocrolus is excellent at what it does. The question is whether you want a document-AI component, or a commercial underwriting platform.
What Ocrolus does better
Ocrolus has been built at scale for document processing, and its bank-statement extraction, tax-form capture, and Detect fraud-detection product are category-leading. Instant Capture returns structured data quickly, and its API is mature enough for fintech platforms to build real-time underwriting on top. If you already own the underwriting workflow and just need a document-data layer — especially for SMB cash-flow decisioning, mortgage, or consumer lending — Ocrolus is a strong choice. Aloan is not competing with Ocrolus on raw extraction speed or fraud-detection breadth.
Where Ocrolus stops and Aloan keeps going
Ocrolus captures fields from 1120, 1120S, 1065, and K-1 — but the public product does not output a traditional commercial spread. There's no UCA cash flow, no EBITDA reconciliation with M-1/M-2 adjustments, no DSCR/DCR computation, no Schedule E rental rollup into personal cash flow, and no global cash flow across borrowing groups and guarantors. There's also no credit memo generation, no covenant setup or monitoring, no annual-review workflow, and no LOS integration. A community-bank credit team using Ocrolus still has to build or buy everything that turns extracted fields into a presentable credit memo.
Why community-bank commercial lending is different from SMB fintech
Ocrolus' strongest community-institution case studies are on the mortgage side rather than commercial C&I. That's consistent with the product shape: Ocrolus was purpose-built for high-volume, cash-flow-based SMB and consumer decisioning at fintech speed. Community-bank commercial lending is a different sport: relationship-based, multi-entity, guarantor-heavy, tax-return-driven, with examiners reviewing each file and credit committees reading narrative memos. Aloan is built for that sport — reading tax returns, reconciling K-1s, producing the spreads credit analysts actually present, and citing every figure back to the source document.
You can run Aloan alongside Ocrolus
The two products target different layers of the stack. Institutions using Ocrolus for mortgage conditioning or SMB cash-flow decisioning can keep that workflow and deploy Aloan separately for commercial C&I and CRE underwriting. Aloan is not trying to replace a mortgage-conditioning or fraud-detection deployment — it's replacing the commercial underwriting bottleneck.
How Aloan works
Upload a full commercial credit file. Get a cited credit memo. Keep your existing systems.
Upload documents
Drop in tax returns (1040, 1120, 1120S, 1065), K-1s, Schedule E rentals, financial statements, rent rolls, and bank statements — the full commercial credit file, not just one document type.
AI reads every line
Aloan reads every line of every document to spread financials, reconcile K-1s into personal and global cash flow, produce UCA cash flow, and compute EBITDA, DSCR, and debt yield — not just extract fields.
Review cited analysis
Every extracted number includes a citation to the exact source document and page. Your analyst verifies the AI's work instead of rekeying from PDFs.
Generate credit memo + monitor covenants
Aloan produces an examiner-ready credit memo in your institution's format, then monitors covenants and triggers annual reviews post-booking — the workflow an underwriting platform needs, not just a data layer.
Documents to complete credit memo in minutes — not days.
See it on your dealFrequently asked questions
What is the difference between Aloan and Ocrolus?
Ocrolus is a document-AI and cash-flow analytics layer — it extracts structured data from bank statements, pay stubs, tax forms, and mortgage documents, detects fraud, and produces cash-flow analytics. Aloan is a full commercial underwriting platform for community banks: it includes document extraction, then goes further with UCA cash flow, EBITDA reconciliation, DSCR, global cash flow across borrowing groups, credit memo generation with source citations, and covenant monitoring. Ocrolus is a component; Aloan is the workflow.
Does Ocrolus spread commercial tax returns like Aloan?
Ocrolus captures fields from 1120, 1120S, 1065, and K-1 schedules, but the public product does not output a traditional commercial spread — there is no UCA cash flow, no EBITDA reconciliation with M-1/M-2 adjustments, no DSCR/DCR computation, and no Schedule E rental rollup into personal and global cash flow. Aloan produces all of those natively, with every figure traceable to the source page.
Can Aloan do document extraction, or do I still need Ocrolus?
Aloan handles document extraction natively across the full commercial credit file — tax returns, K-1s, Schedule E, financial statements, rent rolls, and bank statements. You do not need a separate document-AI layer for the commercial underwriting workflow. Institutions already using Ocrolus for mortgage conditioning or SMB cash-flow decisioning can keep that deployment and run Aloan alongside it for commercial C&I and CRE.
Is Ocrolus used by community banks for commercial lending?
Ocrolus' community-institution case studies are predominantly on the mortgage side rather than commercial C&I. Its SMB traction is concentrated with fintech and alt-lending platforms. Commercial C&I deployments at US community banks are rare — the product is not shaped for traditional relationship-based commercial credit.
Does Aloan detect document fraud like Ocrolus?
Aloan flags risks on financials and bank statements — unusual cash flow, NSF patterns, revenue decline, footnoted contingencies — but does not publish a dedicated fraud-scoring product analogous to Ocrolus Detect. For banks where document-tampering detection is a primary requirement (common in SMB funding and consumer lending), Ocrolus Detect remains best-in-class. For community-bank commercial underwriting, the more common question is whether the numbers reconcile and trace to source documents, which is where Aloan is built.
How does pricing compare between Aloan and Ocrolus?
Ocrolus prices per document with annual volume commitments across Free, On-demand, and Commit tiers. That model fits high-volume fintech SMB and mortgage lenders, but per-document economics can be unpredictable for community-bank commercial packages that often run 50–200+ pages. Aloan uses SaaS pricing scoped for community-bank credit departments, with predictable cost regardless of file size.
Can Aloan and Ocrolus be used together?
Yes. The two products target different layers of the stack and different verticals. An institution running Ocrolus for mortgage conditioning (Inspect) or SMB cash-flow decisioning (Analyze) can keep that deployment and run Aloan separately for commercial C&I and CRE underwriting. Aloan is not trying to replace a mortgage or fintech deployment — it's replacing the commercial underwriting bottleneck.
See Aloan on one of your actual commercial deals
Upload a full credit file — tax returns, K-1s, Schedule E, bank statements. Get a cited credit memo in minutes.
No setup fees · Deploy in 2–4 weeks · Works with your existing LOS
Last updated: April 2026