ABBYY FlexiCapture

AI OCR, ICR, and Accurate Data Capture

FlexiCapture combines OCR, ICR, OMR, and barcode recognition to extract values from scans, PDFs, and images with high accuracy. It reads typed and handwritten fields, line items, and totals even when layouts are complex or image quality is poor. Pretrained AI models and flexible extraction rules reduce rework, while table parsing and key value pair detection deliver structured data that is ready for downstream processing without manual retyping. It supports multi page documents, tables, and check boxes with stable field detection.

Automated Document Classification

The platform classifies incoming content by layout and text signals, separating invoices, orders, forms, contracts, and IDs without manual sorting. It learns from feedback to improve precision on edge cases and new templates. Documents are routed to the right queue or workflow automatically, which shortens handling time, cuts handoffs, and keeps high volume operations consistent across shared services and distributed teams. Handwriting capture improves throughput on mixed forms.

Business Grade Validation and Review

Extracted fields are checked against business rules, formats, and reference data before release. The system flags anomalies, mismatches, and outliers, and supports human review for items that need a second look. Supervisors can require dual control for sensitive records and track outcomes with audit trails. This prevents bad data from entering core systems and preserves compliance across finance, insurance, healthcare, and public sector. Confidence scores focus review on uncertain fields.

Workflow Orchestration and Integration

FlexiCapture includes a configurable workflow engine to route documents, trigger approvals, and manage exceptions. APIs, scripts, and connectors integrate with SAP, Oracle, Microsoft Dynamics, ECM repositories, and RPA robots for straight through processing. Teams standardize steps without rebuilding legacy apps, improve cycle time, and reduce processing costs while keeping ownership of rules and roles inside the operation. Document quality checks handle skew and noise.

Operations Monitoring and SLA Control

Managers get dashboards, role based permissions, and SLA queues to control throughput and risk. They can assign work to specific teams, set priorities, and trace every action for audits. Capacity planning and error insights help leaders balance loads across sites and time zones, maintain service levels during peaks, and scale projects without losing transparency or control over sensitive data. Detailed logs support audits and continuous improvement.