Parse gross pay, net pay, deductions, and withholdings from any payroll document format—built for lenders, verification services, and compliance teams.
Upload any document — PDF, scan, or photo — and get structured data back immediately. No setup, no templates, no waiting.
Audited controls over a sustained period, not a point-in-time check.
Bank-grade encryption at rest and TLS 1.2+ in transit.
Documents deleted within 24 hours. No copies retained.
Drag and drop files, connect a cloud drive, or set up email auto-forwarding. Any file format works—PDF, JPEG, PNG, TIFF, or digital documents.
The AI identifies fields by context and meaning, not fixed coordinates. Names, dates, amounts, and custom fields are extracted automatically.
Get structured output in Excel, Google Sheets, CSV, or JSON. Use the REST API for direct integration into your systems.
“We verify income for 2,000 mortgage applications per month. The payroll parser processes pay stubs from any employer, which eliminated the backlog that was delaying loan closings.”
“Applicants submit pay stubs in every format imaginable—PDFs, photos, screenshots. The parser handles them all and gives us the gross and net figures we need for verification.”
“Integration with our LOS was straightforward via the API. Parsed payroll data flows directly into the application file without manual re-entry.”
Income verification is a critical step in lending, leasing, and employment screening. Mortgage underwriters, auto lenders, apartment managers, and background check companies all need to verify applicant income from payroll documents. A payroll parser automates this process by extracting structured data from pay stubs and payroll records, eliminating manual review of each document.
The payroll parser challenge for verification services is format diversity at scale. Every employer generates pay stubs differently, and applicants submit documents as PDFs, scans, screenshots, and smartphone photos of varying quality. A verification company processing thousands of applications per month cannot maintain templates for every possible employer format. AI-powered payroll parsing solves this by reading any document contextually.
Lido extracts the specific fields that verification workflows require: employee name, employer name, pay period dates, year-to-date earnings, gross pay, net pay, and individual deduction line items including federal and state tax withholding, Social Security, Medicare, retirement contributions, and insurance premiums. The output is structured JSON or Excel that integrates directly with loan origination and screening platforms.
Lenders and verification services evaluating payroll parser solutions should focus on extraction accuracy for financial fields, processing speed for high-volume application pipelines, API availability for system integration, and compliance certifications. Lido provides SOC 2 Type 2 compliance, HIPAA eligibility, and field-level confidence scoring that supports audit documentation.
A payroll parser extracts structured data from payroll documents like pay stubs and earning statements. It is primarily used by mortgage lenders, auto finance companies, rental property managers, and employment verification services that need to confirm applicant income from submitted payroll records.
The parser extracts employee name, employer name, pay period dates, gross pay, net pay, year-to-date earnings, federal and state tax withholding, Social Security and Medicare deductions, retirement contributions, and insurance premiums. Custom extraction rules can be added for additional fields.
AI-powered parsing reads each document contextually, identifying payroll fields by their meaning rather than their position. This means pay stubs from any employer are processed without per-employer templates or configuration.
Yes. Lido provides a REST API that returns structured JSON, making it straightforward to integrate with loan origination systems, applicant tracking systems, and verification platforms. Pre-built integrations with common formats reduce implementation time.
AI-powered payroll parsing achieves 95 to 99 percent accuracy on clearly printed documents. Confidence scores flag uncertain fields for human review, which is essential for lending decisions where income figures must be verified to a high standard.
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Built on Lido’s OCR engine
Built on Lido’s OCR engine
Built on Lido’s OCR engine
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