Sensible vs Ocrolus

Ocrolus is built for lenders.
Sensible extracts your own schema.

Ocrolus reads bank statements, pay stubs and tax forms, then adds cash flow analysis and fraud signals. Sensible extracts loss runs, rent rolls and more into the schema you define.

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4.9 on G2
Loss run with the extracted incurred amount and a passed paid plus reserve check.

Per field

Choose an LLM or deterministic method for each field

Per document

Pricing, whatever the page count

SOC 2 + HIPAA

SOC 2 Type II · BAA on Enterprise

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Technical Comparison

Sensible vs Ocrolus

Sensible is a document extraction platform where you choose a method for each field: a deterministic layout method or an LLM. It returns JSON typed to your schema, runs your validation checks, and can include the page and bounding polygon each value came from. LLM query fields return confidence signals, and pricing is per document, whatever the page count.

Ocrolus

Ocrolus is an AI workflow and analytics platform for lenders. It reads bank statements, pay stubs and tax forms from about 2,100 listed document types, adds cash flow and income calculations, and offers human review. Its output and analytics are built around lending.

What we're comparing
Sensible
Ocrolus
The practical trade-off
Extraction Architecture
Hybrid (SenseML Layout Rules + LLMs)
Machine Automation With Human Review
Ocrolus adds human review in Complete mode when needed. Sensible uses a method per field and flags failed checks.
Best Use Case
Production pipelines that write document data into a system of record: underwriting, claims, lending, AP, onboarding
Lending: bank statements, pay stubs, tax forms
For a lending-only workflow, Ocrolus is purpose-built. Sensible fits when your documents go past lending.
Output Format
JSON matching your schema, plus CSV and Excel export
Extracted data plus cash flow and income analytics
If you want underwriting analytics included, Ocrolus returns them. Sensible returns the fields you define.
Setup Approach
Describe fields in plain language on day one, or have Sensible's team build the configuration
API, dashboard, email or LOS upload to a Book
Ocrolus setup is integration work, and it onboards types off its list. Sensible setup is a configuration for yours.
Source Audit Trail
Page and polygon coordinates for extracted values
Income review traces data to source documents
Both offer a source trace. Check whether yours comes back in the API or only appears on a reviewer screen.
Human Exception Routing
Review flags on failed checks, with status API and webhook
Human-in-the-loop verification in Complete mode
Ocrolus' reviewers check low-confidence fields in Complete. Sensible flags failed checks for your own reviewers.
Document Coverage
Your own configurations, plus an open-source library of pre-built ones
About 2,100 types, centered on lending
Ocrolus' breadth sits in lending and mortgage. For loss runs or EOBs, ask what exists for yours.
Fraud Signals
JsonLogic validation checks on extracted values
Detect signals and an authenticity score
If document fraud checks are a requirement, Ocrolus lists them. Sensible's checks test the extracted values.
Pricing Structure
Predictable flat per-document pricing
No rates on its homepage; ask for a quote
Whichever unit a vendor prices on, ask for the cost of your messiest month, not the average one.
Technical Architecture

The Hybrid Extraction Pipeline

A SenseML config picks a layout method or an LLM method per field. Sensible types each value, runs your checks and flags failures.

Document Ingestion
PDFs, Images, Text
SenseML Router
Rule-based orchestrator
Deterministic Engine
Spatial Anchors & Regex
Multimodal LLM Engine
Generative Interpretation
Compute
Type coercion & derived fields
Validate
JsonLogic rule checks
Human Review
Flagged docs, one-click fix
Structured Output
Typed JSON + page positions
Document Ingestion
PDFs, Images, Text
SenseML Router
Rule-based orchestrator
Deterministic Engine
Spatial Anchors & Regex
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Multimodal LLM Engine
Generative Interpretation
Compute
Type coercion & derived fields
Validate
JsonLogic rule checks
Human Review if flagged
Flagged docs, one-click fix
Structured Output
Typed JSON + page positions
Frequently Asked Questions

Technical & Architectural Details

Is Ocrolus only for bank statements and pay stubs?
+
No. Its docs list about 2,100 document types across assets, income, tax, mortgage, closing, credit and property. The list is centered on lending, so ask what exists for loss runs or EOBs.
What are Instant and Complete in Ocrolus?
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Per its docs, Instant processes a Book with no human intervention, for select document types. Complete runs machine automation, then human-in-the-loop verification when required. You choose per Book.
Does Ocrolus check documents for signs of fraud?
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Yes. Ocrolus documents fraud signals and an authenticity score. Sensible's checks confirm that extracted values agree, such as line items against a total.
Can Sensible produce cash flow analytics?
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Sensible returns the fields you define, and computed fields can derive new values with JsonLogic. Ocrolus' cash flow features and income calculations come ready-made.
How does Ocrolus pricing compare with Sensible's?
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Ocrolus' homepage mentions outcome-based unit economics and lists no rates, so the unit comes with a quote. Sensible prices per document, whatever the page count. Run the same files through both.
Who should stay on Ocrolus instead of switching?
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Teams whose documents are bank statements, pay stubs and tax forms, who want cash flow analytics and fraud signals in one workflow. Sensible fits once documents go past lending, or you want a schema of your own.
The Takeaway

Which One Should You Use?

Ocrolus if...
  • Lending is the whole job bank statements, pay stubs, tax and mortgage documents are your volume, and Ocrolus is built for them.
  • Analytics out of the box cash flow features, enriched transactions and income calculations come with the platform.
  • Fraud signals documented you need document-level fraud signals and an authenticity score, which Ocrolus lists as features.
  • Human check and LOS links you want human-in-the-loop verification available, plus integrations such as Encompass or MeridianLink.
Sensibleif...
  • Documents beyond lending files loss runs, EOBs, rent rolls or closing disclosures need extraction logic that you configure.
  • Output in your own schema you want typed JSON shaped to the fields your system expects, checked before it is delivered.
  • Method choice for each field you choose a deterministic layout method or an LLM method for each field, in one configuration.
  • Extraction logic you own in git your engineers should review, diff and version the logic that reads each field, like other code.
  • Published per-document pricing you want a per-document price listed on the site, and a 14-day trial with no credit card.

Try Sensible on your documents.

Bring the document your team dreads. If it works on that one, you'll know.

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