Enables accounts payable teams to extract invoice data from PDFs and images, detect duplicates, normalize vendor names, calculate payment terms, and validate invoice completeness. Supports local extraction for text PDFs and optional vision providers for scanned documents.
Exposes a ledger system (invoice queue, duplicate control, VAT register, contractor history, decision journal) as MCP tools for AI agents, enabling accurate invoice processing with deterministic validation.
Enables AI assistants to inspect and extract invoice metadata from PDFs, Word documents, Excel files, and images, then synchronize and enrich the extracted data into an Excel ledger.
Enables AI agents to parse and analyze PDF invoices, including text, field, and table extraction, OCR for scanned documents, ZUGFeRD support, compliance validation, and batch processing via MCP.
Validates EU electronic invoices (Peppol, XRechnung, FatturaPA, etc.) and explains validation error codes, enabling AI coding agents to check invoice validity and get fixes before rejection.
