Rossum.ai

Automatically extracts structured data from invoices including line items, amounts, dates, vendor information, and tax details using proprietary AI trained on financial documents. Handles varied invoice formats and layouts without requiring manual template creation for each document type.

Learns from document patterns and user corrections to continuously improve extraction accuracy without requiring full model retraining. The system adapts to custom document layouts and evolving formats over time.

Automatically extracts and categorizes data from receipts and expense reports including merchant information, amounts, dates, and line items. Includes pre-built templates optimized for expense management workflows.

Extracts and validates purchase order data including line items, quantities, pricing, delivery dates, and vendor terms. Includes pre-built templates for PO processing with validation rules.

Provides robust API and webhook integration to embed document automation directly into existing ERP and accounting systems. Enables seamless data flow from document extraction to financial systems without manual handoffs.

Allows configuration of custom validation rules and business logic to flag anomalies, missing data, or policy violations in extracted documents. Enables workflow routing based on validation results.

Processes documents in various formats and layouts without requiring separate template creation for each variant. Handles complex, non-standard documents that traditional OCR struggles with.

Provides metrics and reports on extraction accuracy, processing volumes, and system performance. Enables tracking of improvement over time and identification of problem areas.

Automates document processing workflows including validation, approval routing, and integration with downstream systems. Enables conditional routing based on document type, amount, or validation results.