Features
Extract data from invoices, receipts, and bank statements
Handles scanned PDFs and images
Outputs to Excel, JSON, or XML
No-code interface for non-technical users
API for custom integrations and automation
AI-powered layout understanding (no template setup)
Extracts line items, totals, dates, vendor names
Real-time extraction in seconds
Designed for financial document types
Eliminates manual data entry errors
Integrates with ERP systems via API
High-fidelity synthetic data generation via TabularARGN
Agentic data science automation for training/sampling
Natural language AI Assistant executing Python code
Mock data generation for safe experimentation and testing
Simulated data for edge-case and what-if modeling
Multi-table synthesis with referential integrity
Time-series support and data rebalancing
Differential privacy with temperature control
Deployment on Kubernetes or Red Hat OpenShift
Open-source Synthetic Data SDK under Apache v2 license
Data connectors for Databricks, AWS, Snowflake, BigQuery
Real-time data access from production systems (e.g., Databricks)
Star schema and nested sequences support
REST API and Python Client for programmatic access
Conditional simulation and seeded generation
