# genpark-invoice-receipt-ocr-expense-matcher-skill

> genpark-invoice-receipt-ocr-expense-matcher-skill — alphaparkinc-genpark-invoice-receipt-ocr-expense-matcher-skill. Use this tool when you need to automate the processing of invoices and receipts by extracting relevant data through OCR parsing and matching corporate card expenses. It solves problems related to manual data entry, expense tracking, and receipt management, providing a streamlined interface for inputting scanned or digital receipts and outputting parsed data and matched expenses. Ideal for use in financial management and accounting workflows, it simplifies expense reporting and reimbursement processes.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-invoice-receipt-ocr-expense-matcher-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-invoice-receipt-ocr-expense-matcher-skill

## Description

Invoice receipt OCR parsing and corporate card expense matcher

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/alphaparkinc/genpark-invoice-receipt-ocr-expense-matcher-skill)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "alphaparkinc-genpark-invoice-receipt-ocr-expense-matcher-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-invoice-receipt-ocr-expense-matcher-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-invoice-receipt-ocr-expense-matcher-skill/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
