payslip-parsing

Extract structured Danish payslip data from images and PDFs.

6|Updated Feb 1, 2026
One-click install
npx skills add https://github.com/peerjakobsen/smartspender --skill payslip-parsing
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: payslip-parsing
Source: https://github.com/peerjakobsen/smartspender/tree/main/skills/payslip-parsing
Command: npx skills add https://github.com/peerjakobsen/smartspender --skill payslip-parsing

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Extract Danish payslip data by defined rules to convert images and PDFs of lønsedler into structured data for pension tracking and financial advice.

Core Features & Use Cases

  • Employer detection and parser lookup: loads employer-specific PARSER.md when available to improve accuracy.
  • Field extraction rules: captures core fields (pay period, gross salary, AM-bidrag, A-skat, ATP, net salary) and optional items (feriepenge, fritvalgskonto, sundhedsforsikring).
  • Payroll system coverage: supports common Danish payroll formats (Danløn, Proløn, Visma Løn, Zenegy, Bluegarden) with standardized output mapping.
  • Output schema & integration: provides a consistent JSON/CSV-ready structure for downstream processing and analytics.

Quick Start

Upload a Danish payslip to automatically extract core fields and prepare data for pension tracking and financial advice.

Frequently Asked Questions about payslip-parsing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract structured data from a Danish payslip for pension tracking?

To extract Danish payslip data for pension tracking, upload the document to automatically parse core fields like gross salary, AM-bidrag, A-skat, ATP, and net salary into a structured JSON or CSV format using predefined field mappings.

Does this payslip extraction tool support common Danish payroll systems like Danløn and Visma?

Yes, this payslip extraction tool supports common Danish payroll systems including Danløn, Proløn, Visma Løn, Zenegy, and Bluegarden, applying standardized output mapping to ensure consistent data extraction across different formats.

What specific fields are extracted from lønsedler during automated payroll processing?

Automated payroll processing captures core fields such as pay period, gross salary, AM-bidrag, A-skat, ATP, and net salary, alongside optional items like feriepenge, fritvalgskonto, and sundhedsforsikring for comprehensive financial analysis.

How does employer detection work when parsing Danish payroll data?

Employer detection works by looking up and loading employer-specific PARSER.md files when available, applying customized parsing rules to improve the accuracy of field extraction for different Danish employers.

Can I use the extracted payslip data for downstream financial analytics?

Yes, you can use the extracted payslip data for downstream analytics because the tool provides a consistent JSON and CSV-ready output schema mapped from standard Danish payroll formats, supporting financial advice workflows.