Artsyl Technologies has launched the next generation of its data and document capture solution, docAlpha 3.0.

docAlpha is an automated distributed intelligent document recognition (IDR), classification, data extraction and document processing solution.

docAlpha automatically collects, identifies and captures large volumes of structured and semi-structured documents. It provides advanced classification and capture capabilities to extract and verify data and integrates with a wide range of document management, content management and database applications.

docAlpha imports documents from any local or remote source, including scanners, networked MFPs, fax servers, directories, FTP or e-mail. Its front-end integration enables knowledge workers to capture documents from the control panel of popular MFPs and launch a workflow that taps the advanced capture, verification and back-end integration features of docAlpha.

docAlpha 3.0 streamlines document processing by reducing manual data entry and document pre-processing tasks. Artsyl’s docAlpha 3.0 handles complex documents with wide open taxonomies, delivering classification and capture for documents ranging from simple receipts to advanced invoices with line item detail, including automatic processing of multi-page documents and nested tables.

It now offers expanded front-end connectivity with auto-import of documents from multiple FTP, SFTP and E-mail sources with automatic initiation of workflows. The ability to use XML tickets with incoming documents offers deep integration into existing document management and approval cycles

Enhanced self-learning Auto-Find technology can apply learned knowledge either on the client or server side and allows processing form variations directly in the production environment without having to create time-consuming templates by IT staff.

Sticky Fields allow entering information once on the cover sheet document and auto-repeating it on each subsequent document until the value is changed.

Multi-level classification with control of alternatives generation and a dedicated classification verification mode offers access to confidence and logic of classification for any alternative and visual highlights of classification keys.