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Alexi5000
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invoice-processor

Parse, validate, and categorize invoice data from PDF, PNG, and JPG files.

20|7|Updated Feb 2, 2026
Search Tags:#ocr#validation#data-extraction#invoice#duplicate-detection#expense-categorization#ap-workflow
One-click install
npx skills add https://github.com/Alexi5000/ClawKeeper --skill invoice-processor-alexi5000
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: invoice-processor
Source: https://github.com/Alexi5000/ClawKeeper/tree/main/skills/invoice-processor
Command: npx skills add https://github.com/Alexi5000/ClawKeeper --skill invoice-processor-alexi5000

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Invoices are often processed manually, leading to data entry errors, delays, and poor cash flow visibility. This Skill automates extraction, validation, and categorization to accelerate AP workflows.

Core Features & Use Cases

  • OCR Processing: Extract text from PDF, PNG, JPG invoices
  • Field Extraction: Identify vendor, amount, dates, and line items
  • Data Validation: Verify required fields, formats, and totals
  • Duplicate Detection: Flag potential duplicates to prevent double payments
  • Expense Categorization: Map line items to GL accounts for reporting
  • Structured Output: Produce a consistent JSON object ready for approval or posting

Quick Start

Upload an invoice to trigger OCR, extract fields, validate data, and output a structured dataset for approval.

Frequently Asked Questions about invoice-processor

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

FAQPage Schema
How do I automate invoice processing and extract data from PDF or image files?▼

Automate invoice processing by uploading PDF, PNG, or JPG files to trigger OCR text extraction. The system parses vendor details, amounts, dates, and line items, then outputs structured data to accelerate accounts payable workflows.

What is the best way to detect duplicate invoices and prevent double payments?▼

Duplicate invoice detection works by validating extracted fields and flagging potential matches during the processing workflow. This prevents double payments by cross-referencing parsed data before producing the final structured output.

Can I automatically categorize invoice line items and map them to GL accounts?▼

Invoice expense categorization maps extracted line items to general ledger accounts for reporting. The system assigns categories during validation to produce export-ready data for approval or posting.

Does OCR data extraction work with scanned images and unstructured invoice formats?▼

OCR data extraction processes scanned PNG and JPG images alongside PDF invoices. It extracts text from unstructured formats, validates required fields, and delivers consistent structured data.

How do I validate extracted invoice fields and ensure required data is accurate?▼

Invoice validation verifies required fields, formats, and totals after extraction. The system checks the parsed data to ensure accuracy before generating a structured dataset for downstream approval.

What format does the invoice processor output for approval and posting workflows?▼

The invoice processor outputs a consistent JSON object containing validated and categorized data. This structured format is export-ready and designed to integrate directly into approval or posting workflows.

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