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Faster, smarter mortgage & lending document parsing.

Cut review time from hours to minutes. Invofox parses, validates and structures borrower files — pay stubs, W-2s, bank statements, tax returns, closing disclosures — across every format your loan officers ingest.

extracted.json · Mortgage & Lending
// extracting · loan_4827.pdf
  • loan_amount $162,000 100%
  • lender Ficus Bank 100%
  • interest_rate 3.875% 100%
  • monthly_payment $761.78 99.9%
  • borrower Michael Jones 100%
  • dti_ratio DTI · cross-check W-2
0 loan packages Verified · processed today · 99.1% accuracy

Powering document extraction for teams at

Manual reviews slow lending teams down.

Mortgage and loan processes are document-heavy, time-sensitive and error-prone. Each file can contain hundreds of pages and dozens of document types, making manual review expensive, slow and risky:

  • Processing delays

    Files so large that existing systems stall or fail.

  • Separation errors

    Multiple documents embedded in one file are hard to cleanly split.

  • Misclassification

    Wrong document type identification creates errors and downstream rework.

  • Unhelpful validation

    Confidence scores without context leave underwriters guessing.

  • Duplicate documents

    Files often contain several copies of the same form.

  • Single-model limits

    A single OCR/LLM can't handle every case — performance suffers.

Borrowers wait. Compliance risk grows. Costs per file climb.

Why lending automation breaks at scale.

Borrower documents arrive in hundreds of layouts and conditions. Without indexing, validation and cross-checks, OCR alone pushes the work back to your underwriters.

Raw inbound
Pay stubs · employer_a.pdf
Bank stmts · 12mo_bundle.pdf
W-2 · 2024_handwritten.jpg
Tax return · 1040_2024.pdf
Closing disclosure · loan_4827.pdf
Structured · LOS-ready
shipment.json
{
  "loan_amount": "$162,000",  "lender": "Ficus Bank",  "interest_rate": "3.875%",  "monthly_payment": "$761.78",  "borrower": "Michael Jones",  "term": "30 years"
}
<5min per full loan package

From borrower upload to underwriting-ready data.

Invofox mirrors how real lending teams work — index first, then extract, then validate. The result: clean files, fewer errors, faster approvals.

  1. Step 01

    Intake & capture

    Borrowers upload hundreds of pages — pay stubs, W-2s, bank statements, tax returns, Fannie Mae forms. Invofox ingests every format and quality.

  2. Step 02

    Indexing & arrangement

    Invofox identifies, separates and classifies every document in the loan package — building a perfectly organized file before extraction.

  3. Step 03

    Multi-model extraction

    Once cleanly indexed, Invofox extracts loan data with OCRs, LLMs and VLMs that handle handwritten and low-quality inputs.

  4. Step 04

    Validation & cross-checks

    Deduplication, consistency checks and completeness validation ensure every field is reliable before it enters your LOS or CRM.

  5. Step 05

    Ready for underwriting

    Verified, structured data that accelerates approvals, reduces compliance risk and saves hours per loan file.

Built for mortgage reliability, not just OCR.

Lending workflows depend on turning massive, messy borrower files into reliable underwriting inputs. Invofox is built for production environments where document errors stall approvals and create compliance risk.

  • 01

    Built for scale

    Process as many loan files as you need — no errors or timeouts.

  • 02

    Every format, every quality

    PDFs, scans, photos and handwritten inputs all handled.

  • 03

    Reliable splitting & classification

    Clean separation of borrower files with mixed documents.

  • 04

    Multi-model extraction

    OCRs + LLMs + VLMs combined for maximum accuracy.

  • 05

    Deduplication built-in

    Canonical copy identification across duplicate uploads.

  • 06

    99% field-level accuracy

    Measured before data hits your LOS or underwriting system.

Structured data that fits your lending stack.

Invofox delivers structured, validated borrower data through a plug-and-play asynchronous API with webhook support — connect to your LOS, CRM and underwriting tools without rebuilding pipelines.

Invofox API webhooks · async
LOS Loan origination
CRM Borrower management
Underwriting Risk & approvals
Compliance Regulatory checks
DMS Document management
Invofox API Webhooks · async delivery
LOS Loan origination
CRM Borrower management
Underwriting Risk & approvals
Compliance Regulatory checks
DMS Document management
Plug-and-play API: no brittle pipelines, no per-vendor rebuilds.

Enterprise-grade security, independently verified.

Click on our certifications below to see the details.

Compliance
SOC 2 badge
SOC 2 Active
Type II · audited annually by AICPA

Our systems and controls are independently audited every year against the AICPA Trust Services Criteria — security, availability, processing integrity, confidentiality, and privacy.

Zero-retention

Process. Deliver. Erase.

Documents deleted right after delivery. No copies, no backups, no logs.

Opt-in · Only for Scale and Enterprise clients

No copies No backups No logs
Self-hosted

Run it on your servers.

Deploy Invofox inside your own infrastructure. Same API, your perimeter.

Only for Enterprise clients

On-prem VPC Air-gap
Want the full report? Audits, policies, sub-processors and the latest pen-test summary live in our trust center. Open trust center

Frequently asked questions.

~/invofox / faq.json
types.json
1
2 ··"question" "What mortgage and loan documents does Invofox process?"
3
4 ··"answer" "Bank statements, tax returns, W-2s, pay stubs, closing disclosures, 1003 loan applications and other Fannie Mae and Freddie Mac forms, appraisal reports and more."
5
Documents types.json
main 0 errors 0 warnings UTF-8 LF JSON

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