AI-Powered Timesheet Parsing for Payroll

Parse timesheets from any source into payroll-ready rows—mapping employee IDs, hours, pay rates, job codes, and departments to your system’s exact field structure.

HIPAA compliant BAA available SOC 2 Type 2 certified

See timesheet parsing in action

Upload any document — PDF, scan, or photo — and get structured data back immediately. No setup, no templates, no waiting.

What teams are saying

“We collect timesheets from 12 different subcontractors, all in different formats. Parsing normalizes everything into our project cost structure automatically. What used to take our accountant a full day now takes 20 minutes.”
WT
Wayne T.
Controller, Construction Firm
“Matching employee names on handwritten timesheets to our payroll system IDs was always error-prone. The parser handles fuzzy matching and flags discrepancies instead of guessing.”
NB
Nancy B.
Payroll Supervisor
“Our staffing agency billing depends on accurate timesheet data from 40 client sites. Parsing different client timesheet formats into our billing system cut invoicing time by 60 percent.”
SD
Steve D.
Finance Director, Staffing Agency
Compliance

Healthcare-grade security

SOC 2 Type 2

Audited controls over a sustained period, not a point-in-time check.

AES-256 encryption

Bank-grade encryption at rest and TLS 1.2+ in transit.

24-hour deletion

Documents deleted within 24 hours. No copies retained.

How it works

Three steps from document to structured data

Upload or forward

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.

AI reads and extracts

The AI identifies fields by context and meaning, not fixed coordinates. Names, dates, amounts, and custom fields are extracted automatically.

Export anywhere

Get structured output in Excel, Google Sheets, CSV, or JSON. Use the REST API for direct integration into your systems.

From raw timesheets to payroll-ready data in minutes

Timesheet parsing bridges the gap between raw time records and the structured data format that payroll systems require. While timesheet OCR handles the digitization of paper documents, timesheet parsing goes further by mapping extracted data to the specific field structure and formatting requirements of downstream payroll and project costing systems. The distinction matters because payroll systems are inflexible about data formats—employee IDs must match, date formats must conform, and hours must be allocated to the correct pay codes.

The parsing challenge is most acute for organizations that receive timesheets from multiple sources. A general contractor might collect timesheets from in-house crews, subcontractor timesheets for cost tracking, and staffing agency timesheets for temporary labor—each in a different format with different field conventions. A healthcare system might receive time records from per-diem nurses, agency staff, and locum tenens providers, all formatted differently. Timesheet parsing normalizes these varied inputs into a single consistent format.

Integration with payroll systems is where timesheet parsing delivers its primary value. Rather than producing generic spreadsheet output, Lido maps extracted time data to the specific field structure required by the target payroll system. Employee names are matched to employee IDs, hours are allocated to the correct earnings codes, and job cost allocations are mapped to the project cost structure. This eliminates the manual reformatting step that typically sits between timesheet collection and payroll processing.

Organizations evaluating timesheet parsing should consider the range of input formats supported, the ability to map to their specific payroll system field structure, handling of edge cases like split shifts and multi-project allocation, and batch processing capability for weekly payroll cycles. Lido processes timesheets from any source format and provides configurable output mapping for all major payroll platforms.

Frequently asked questions

How is timesheet parsing different from timesheet OCR?

Timesheet OCR digitizes paper timesheets into raw data. Timesheet parsing goes further by mapping that data to your specific payroll system field structure, normalizing formats, matching employee identifiers, and allocating hours to the correct pay codes and cost centers.

What timesheet formats can be parsed?

Timesheet parsing handles paper timesheets, PDF timesheets, Excel spreadsheets, digital time tracking exports, and staffing agency time records. The AI adapts to any format and normalizes the data into your required payroll structure.

Can timesheet parsing handle multi-project time allocation?

Yes. When employees split time across multiple projects, job codes, or cost centers, the parser extracts each allocation separately and maps it to the corresponding project or cost code in your system.

How does timesheet parsing integrate with payroll software?

Lido exports parsed timesheet data in formats compatible with ADP, Paychex, Gusto, QuickBooks Payroll, and other major platforms. The REST API enables direct integration for automated weekly or biweekly payroll processing workflows.

How fast can timesheets be parsed for a weekly payroll run?

Batch processing handles hundreds of timesheets in minutes. A weekly payroll cycle for 500 employees with paper timesheets can be parsed and ready for payroll import within 30 minutes of receiving the last timesheet.

Simple, transparent pricing

Start free with 50 pages. Upgrade when you’re ready.

Standard
$29 /month
100 pages per month · 1 user
  • Any file type supported
  • Excel, CSV, JSON export
  • Email auto-forwarding
  • AI columns for custom fields
  • SOC 2 Type 2 compliant

Built on Lido’s OCR engine

Enterprise
Custom
From $30,000/year
  • Everything in Scale
  • Custom ERP integrations
  • Dedicated account manager
  • Live onboarding
  • BAA for HIPAA
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Built on Lido’s OCR engine

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