Provider-Agnostic
Works with any payroll document format — no custom templates or per-provider configuration required. Send the document; get structured data back.
API-first payroll extraction
Parse any payroll
document. Instantly.
Provider-agnostic extraction that accepts any payroll document — ADP, Gusto, Paylocity, and more — and returns clean, structured data in a consistent format.
Everything you need for payroll migrations
Built for HCM vendors running payroll provider migrations at scale.
Structured Output
Every extraction returns data mapped to a consistent output — regardless of the source provider or document layout.
API-First
Fully programmatic access means you can build Parsify directly into your migration workflows and tooling.
Confidence Scores
Every extracted field comes with a per-field confidence score, so you can surface low-confidence values for human review before completing a migration.
Migration Tracking
Organize extractions into migration runs so you can track progress across every client and provider transition — all in one place.
Parallel Validation
Compare source and target payroll runs side-by-side. Parsify generates validation reports that surface discrepancies between provider outputs.
From PDF to structured data in three steps
No configuration. No templates. Just upload and extract.
Send us your payroll document
Upload any payroll journal or report PDF from any provider — ADP, Gusto, Paylocity, or anything else. No templates to configure and no formatting required.
We extract the data
Parsify uses machine learning to read and understand the document, identifying all payroll fields and values regardless of layout or provider format.
Get consistent, structured output
You receive clean, structured data in a consistent format — no matter which provider the document came from. Every field is validated so you can trust the output.
Get started
Start extracting payroll data today
Request a demo to see Parsify extract a real payroll document from your provider. We'll walk through the API and canonical schema together.