Vic.ai

Automatically extracts structured data from invoices using AI-driven OCR that understands context and vendor-specific formats. Goes beyond basic text recognition to identify line items, amounts, dates, and vendor information with high accuracy across multiple languages and currencies.

Identifies and flags suspicious patterns in invoices including duplicate submissions, unusual amounts, coding errors, and vendor discrepancies before data enters the accounting system. Reduces audit friction and prevents erroneous entries from reaching the general ledger.

Recommends appropriate general ledger account codes for invoice line items based on vendor history, item descriptions, and organizational coding patterns. Learns from past coding decisions to improve accuracy over time.

Automatically syncs extracted and coded invoice data directly to QuickBooks, NetSuite, Sage, and other accounting platforms. Maintains clean audit trails and eliminates manual data re-entry across systems.

Processes and normalizes invoices in multiple currencies, automatically identifying currency types and converting amounts for consistent GL posting. Supports global vendor networks without requiring separate workflows.

Extracts and processes invoice data from documents in multiple languages without requiring separate templates or configurations. Automatically detects language and applies appropriate extraction rules.

Extracts invoice data accurately from diverse vendor invoice formats without requiring extensive template setup or configuration. Learns vendor-specific layouts and adapts to format variations automatically.

Streamlines the entire accounts payable process by automating invoice receipt, extraction, coding, validation, and posting. Reduces manual touchpoints and accelerates invoice processing cycles.

Automatically maintains detailed audit trails of all invoice processing steps including extraction, coding decisions, anomaly flags, and GL posting. Ensures compliance and provides visibility into processing history.