Advanced Data Capture
Seamlessly convert into document formats
Pragma Edge Advanced Data Capture is a comprehensive solution that digitizes and transforms documents like FAX and PDF files into structured digital formats, including EDI, EDIFACT, XML, and flat files. This capability enables seamless integration with enterprise systems, helping businesses automate workflows, enhance operational efficiency, and eliminate manual data entry.
The solution supports multiple input channels, making it highly adaptable to various business environments. Whether documents are received through scanners, fax machines, or as digital files such as PDFs and images from desktop applications or mobile devices, Pragma Edge ensures accurate and consistent data extraction and conversion.
With its intelligent capture capabilities, the platform helps organizations gain control over unstructured data, reduce processing times, and ensure high levels of data accuracy. Ideal for industries that deal with high volumes of transactional documents, Pragma Edge Advanced Data Capture empowers businesses to drive digital transformation by converting traditional content into actionable digital assets.
Data Enrichment
Automated workflows, rules-based processing, and human enrichment are combined to ensure the delivery of high-quality data and effective digitalization.
Cognitive Processing
Uses machine learning to automate the processing of complex or unknown formats, as well as highly variable documents that are difficult to capture with traditional systems.
Export To Other Targets
Allows you to transfer documents and extracted information effortlessly to multiple applications, content management systems, and back-end platforms.
Advanced Data Capture | FAQ's
Pragma Edge Advanced Data Capture offers robust capabilities to convert FAX and PDF documents into structured digital formats, including EDI, EDIFACT, XML, and flat files, enabling seamless data integration and automation across business systems.
Data capture typically involves extracting information from sources with predefined response formats, such as multiple-choice questions, yes/no options, and bubble circles. In contrast, data entry refers to the manual input and storage of textual and numerical information from documents into electronic systems.
Data capture involves extracting valuable information from physical or digital documents and transforming it into structured data that can be utilized by core business systems. This process is often the foundation of an organization’s information lifecycle, marking the starting point for broader digital transformation and automation initiatives
The main purpose of data capturing is to convert information from various sources into a structured format that computers can process and understand. This captured data provides valuable insights into organizational performance and highlights opportunities for improvement by enhancing operational efficiency.
The Six Essential Steps for Effective Data Capture
- File Identification.
- OCR and Rendering.
- Classification.
- Data Extraction.
- QA and Reconciliation.
- Upload and Output.
