Extract gross pay, net pay, YTD totals, and deductions from pay stubs into reviewable structured data. Built for lending, property, and HR workflows. Try free.
Start with a representative file, review the confidence signals, and verify the output against the source.
Start with a supported PDF or image from a representative payroll-provider layout.
The parser identifies earnings, deductions, YTD totals, and employer fields with confidence signals.
Check the returned fields against the source, then download JSON, CSV, or Excel or use the API.
Use our sample document or upload your own. See exactly what you'll get.
Drop your pay stub here or click to upload
PDF (including scanned), DOCX, XLSX, PNG, JPG, WEBP — up to 4.5MB
Reviewable outputs and integration options for repeatable document-processing workflows.
Designed for common layouts from pay stubs from ADP, Paychex, Gusto, Workday, QuickBooks Payroll, and any custom format.
Gross pay, net pay, and year-to-date totals extracted alongside every deduction line.
Structured output with pay period, employer details, and earnings — formatted for rental and loan applications.
Every pay stub is parsed into structured JSON with these fields
employee_nameemployee_idemployer_nameemployer_addresspay_period_startpay_period_endpay_dategross_paynet_payfederal_taxstate_taxsocial_securitymedicareother_deductionsytd_grossytd_netGet reviewable structured data from your documents, with confidence signals that show where a human check may help.
Built for reviewable structured data
Upload a representative supported PDF, scan, or photo, review the returned fields, and export JSON, CSV, or Excel for downstream use.
Confidence signals for review
Returned configured fields include confidence signals to help prioritize review. A confidence value is not a guarantee that a field is correct.
Published data-handling details
Review the current security and privacy pages before submitting sensitive documents, including how source files and structured results are handled.
Per field
Confidence signals
PDF · scan · photo
Accepted inputs
JSON · CSV · Excel
Export formats
3 free
No card required
Supported PDFs and common image formats can be submitted. Payroll-provider layouts vary, so test representative ADP, Gusto, Paychex, QuickBooks, Workday, or other files from your workflow.
Use confidence signals to prioritize review, then compare important returned fields with the source pay stub. Confidence is a review aid, not an accuracy guarantee.
Review the current security and privacy pages before submitting sensitive payroll documents, and confirm the controls meet your organization’s requirements.
The API can provide configured pay-stub fields for a human-reviewed workflow. It does not independently verify employment, identity, or income.
Start with 3 free documents. Upgrade to a monthly plan when you need more.
$0.45 / doc · 20 docs/mo
$0.58 / doc · 50 docs/mo
$0.40 / doc · 200 docs/mo
$0.20 / doc · 1000 docs/mo
All plans include full API access. Cancel anytime.
Why pay when I only need a few documents?
Start with the 3 free parses. If the workflow fits your documents, Starter ($29/mo) gives you 50 more at $0.58 per document. Cancel anytime.
How accurate is the extraction?
Results vary with the payroll layout and scan quality, so we do not quote an accuracy rate. Every result includes per-field confidence scores and flags low-confidence earnings, deduction and year-to-date values for review.
Can I use the API programmatically?
Yes. Every plan includes full API access. Your API key is in the dashboard the moment you sign up. Check the API docs for code samples in cURL, Python, and Node.
What file formats do you support?
Uploads accept PDF (digital or scanned), PNG, JPG, WEBP, Word (.docx) and Excel (.xlsx) files up to 4.5 MB, and PDFs up to 100 pages. Payroll layouts differ by provider, so test a representative pay stub with the free parses.
What happens to my documents?
Documents are processed and discarded. We do not store your files after extraction. The extracted data lives in your account until you delete it.