Turn Invoices into Structured Data

The Invoice Extractor is a professional-grade skill designed for developers and power users who need to automate expense tracking. It solves the friction of manual data entry by combining robust Python-based PDF/image processing with the natural language reasoning of an AI agent. It bridges the gap between messy, unstructured documents and clean, searchable data stores.

What it does

The skill extracts key financial data point—including vendor names, dates, line items, taxes, and totals—from PDFs and images. It features a sophisticated ledger management system that allows for auto-categorization, duplicate detection, and batch processing. Unlike simple prompting, this skill provides a persistent data layer and specialized export tools for major accounting platforms.

Supported Platforms & Tools

• Accounting Exports: Built-in support for Xero, FreeAgent, and Wave.
• Data Formats: Exports to CSV, JSON, and Google Sheets-friendly formats.
• Extraction Tech: Uses pdfplumber for high-fidelity PDF text extraction and vision-based parsing for images.
• Persistence: Maintains a local running ledger with built-in backup and undo capabilities.

Why use this skill?

Prompting an AI to "read a receipt" often leads to hallucinated numbers or inconsistent formatting. This skill enforces a strict JSON schema, validates totals, and manages a persistent expense history. It handles the heavy lifting of multi-page documents and complex tax breakdowns, ensuring your financial records are accurate and ready for tax season.