Trusted by teams turning documents into production data
Real Estate
Loan packages bundle dozens of document types into a single PDF: applications, pay stubs, bank statements, tax returns, and disclosures. Sensible classifies, splits, and extracts each document for automated underwriting, compliance checks, and loan boarding.
Validated JSON
Schema-enforced output; every field matches your contract
Source coordinates
Every value links back to page + bounding box for audit
Per-document pricing
Predictable cost. No token-volatility surprises
Trusted by teams turning documents into production data
Hundreds of pages, 20-plus document types, no table of contents. We classify every page first, then extract each document type into one consistent schema, whatever the scan quality.
01
No table of contents. No consistent ordering. A 200-page file mixes tax returns, pay stubs, W-2s, bank statements, and disclosures. Classification identifies each document type, then the appropriate extraction config takes over.
02
A single loan package mixes clean digital PDFs with faxed copies, mobile photos of documents, and degraded scans. Some pages need layout-based extraction; others need LLM parsing to read through noise. Sensible's hybrid engine and configurable OCR engines handle the full quality range without manual sorting.
03
Pay stubs, W-2s, bank statements, and disclosures each get their own extraction config, but all output validated JSON against your target schema. When the borrower's name, income, and property address appear across ten document types, your pipeline can cross-check them programmatically because every extraction is structured the same way.
Managed services
Solutions engineers handle plan, build, deploy, and adjust on your behalf. You see clean JSON in your API response. Same engine as self-serve, just with the configuration work outsourced.
What's included
01Plan.Engineers review your samples and pick the right method
02Build.SenseML configs written from your samples
03Deploy.Same engine as self-serve, ready for production
04Adjust.We update configs when formats shift or new edge cases appear
05Integrate.Help with custom integration into your downstream systems
We configure every loan package extraction to your exact schema, not a fixed field list. The fields below are the ones mortgage teams pull most often — tell us what your loan-origination pipeline needs and we map the rest.
01
Borrower information
Borrower name, SSN (masked), address, employer, income, assets, liabilities (from application and verification docs)
02
Loan terms
Loan amount, interest rate, loan type, term, amortization, LTV, DTI, property type, property address, appraised value
03
Compliance and conditions
Closing costs, APR, TRID tolerance checks, conditions to close, title exceptions, insurance requirements
config.json
SenseML
{ /* SenseML: loan package extraction */
"fields": [
{
"method": {
"id": "queryGroup",
"queries": [
{ "id": "borrower_name", "description": "borrower name, applicant name, borrower" },
{ "id": "loan_amount", "description": "loan amount, principal amount, amount financed" },
{ "id": "interest_rate", "description": "interest rate, note rate, APR" },
{ "id": "property_address", "description": "property address, subject property, collateral address" }
// + more fields, mapped to your schema
]
}
}
]
}Sensible handles conventional, FHA, VA, USDA, jumbo, and commercial loan packages. The classifier detects 20+ document types, and hybrid extraction ensures each gets the right configuration.
Conventional, FHA, VA, USDA, jumbo, HELOC, commercial, SBA, construction
Origination, underwriting, closing, post-closing QC, due diligence, securitization
Answers about document classification, portfolio processing, and multi-document extraction.
Yes. You can submit multiple loan package PDFs via the API and receive structured data for each. This supports portfolio due diligence, bulk onboarding, and audit workflows.
Sensible handles loan packages of any page count. Packages of 200+ pages are common in mortgage workflows. Processing time scales linearly with page count.
Out of the box, Sensible classifies tax returns, pay stubs, bank statements, W-2s, 1099s, VOEs, closing disclosures, appraisals, title reports, and more. Document types are defined in configuration, so when a packet includes something you haven't classified yet, you add it. The set of types you recognize is yours to extend.
Sensible classifies each document within a loan package PDF, splitting it into individual documents like pay stubs, tax returns, bank statements, and closing disclosures. Each is then extracted with the appropriate configuration.
Yes. Sensible sends extraction results to your webhook endpoint when processing completes. You can also poll the API for status.
Yes. Sensible flags extractions with low confidence for human review. You can configure review thresholds and workflows.
Sensible is SOC 2 Type II certified and HIPAA compliant. Data is encrypted in transit and at rest.
Document data is stored indefinitely by default. Custom retention policies are available and can be configured for same-day deletion if needed.
Yes. Sensible offers a 14-day free trial on the Growth plan. No credit card required to start.
Sensible uses per-document pricing for predictable costs. No token-based billing or usage surprises. Volume discounts are available for higher throughput.
Sensible provides REST APIs and SDKs for Python and Node.js. Most integrations take a few hours. Webhooks, Zapier, and direct API calls are all supported.
Sensible processes PDFs (native or scanned), Microsoft Word (DOC, DOCX), spreadsheets (XLSX, XLS, CSV), single-page images (JPEG, PNG), multi-page images (TIFF), and email bodies with attachments.
Accuracy depends on document quality and configuration. Most production deployments achieve 95%+ accuracy with proper validation rules and confidence signals.
Processing speed depends on document size, page count, OCR requirements, and which extraction methods are used. Simple single-page documents process in seconds. Larger or more complex documents that use LLM-based extraction take longer.
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