super.AI

Automatically extracts structured data from unstructured documents using OCR and AI-powered parsing. Converts tables, forms, and text from PDFs, images, and scanned documents into machine-readable structured formats.

Chains multiple document processing steps together into automated workflows without custom coding. Handles sequential tasks like validation, extraction, enrichment, and routing based on document content and business rules.

Routes documents that fail automated processing or have low confidence extractions to a manual review queue. Provides interface for human review, correction, and approval before final processing.

Enhances extracted document data by cross-referencing with external data sources, adding contextual information, and enriching records with additional fields. Combines document data with CRM, vendor databases, or other systems.

Specialized OCR and parsing optimized for financial documents including invoices, receipts, statements, and tax forms. Recognizes standard financial layouts and extracts amounts, dates, line items, and account information with high accuracy.

Specialized parsing for legal documents including contracts, agreements, and legal filings. Identifies key clauses, terms, parties, dates, and obligations while maintaining document structure and context.

Automatically categorizes incoming documents by type and routes them to appropriate workflows or teams based on content analysis and configured rules. Handles mixed document batches and directs each to the correct processing path.

Validates extracted data against business rules and document requirements. Flags missing fields, inconsistencies, and data quality issues for manual review or correction before downstream processing.

Provides REST API endpoints for integrating document processing capabilities into existing enterprise systems. Enables programmatic submission of documents, retrieval of results, and workflow orchestration without UI dependency.

Processes large volumes of documents in batches with optimized throughput and resource management. Handles hundreds or thousands of documents in a single submission with progress tracking and result aggregation.

Maintains detailed audit logs of all document processing activities including who accessed documents, what data was extracted, when changes occurred, and what decisions were made. Supports regulatory compliance and forensic analysis.

Allows definition of custom data extraction schemas without coding. Users can specify which fields to extract, their data types, validation rules, and relationships through a configuration interface.