How can Captiva software improve your enterprise's data capture process?
Organizations are asking more and more from their data, and with the class-leading OpenText Captiva capture software in place there's no limit to what they can achieve. Any enterprise can benefit from fast access to digitized data for workflows and internal processes, easy lookup, and safe, stable storage for easy compliance. Plus, PaperFree offers specialty solutions to expand the capabilities of your Captiva system, from inline redaction, check processing, and even system monitoring. By digitizing data at the first point of contact, be it a mailroom or email inbox, paper forms and documents can be eliminated and the headaches they bring resolved.
What can Captiva do for you?
Captiva can be used in a variety of implementations, including:
PaperFree is a Full-Service Captiva Provider
PaperFree is a leading provider of Captiva technical support and training services. Learn more about how we can help you use your system to its fullest potential with the most efficiency possible.
Let us show you how version 16.5 can revolutionize your enterprise's information capture processes and help you expand what you can do with your data.
Captiva 16.5 offers the following features:
New Web-based capture application allows for scanning, indexing, and validation without the need for a browser plug in.
New-style fully-featured interface for improved operator efficiency.
Additional features to the way files and data are ingested.
Improved usability within Captiva Designer for developers.
Significantly faster system performance and reliability.
New Real-Time Services (REST) provide functionality such as classification, extraction, image processing, full page OCR and barcode reading.
Real-Time Capture Services
These REST-bases services are specially designed to offer expanded availability and functionality to mobile and web applications. Mobile and web features require high scalability, ultra-high availability, and real-time response, which Captiva now has extensive support to handle. By adding capture functionality to your mobile or web presence you can skip the mailroom and import data directly into your workflow.
Real-Time Capture Services includes the following services:
OCR & PDF Creation
Captiva Web Client
A web-based front-end to scan, index, and validate documents, which eliminates the need for browser plug-ins, such as Active-X or Java. Featuring a customizable interface and dual monitor support, it also integrates with the Real-Time Capture services in the background to increase productivity. And, configuring server-side processing is easier than ever with standard Document Types and Profiles.
- Supports Internet Explorer v10 and v11, Chrome v32, and Firefox v26.
Captiva Advanced Recognition Enhancements
The version 16.5 Advanced Recognition module now features “fuzzy” match capabilities for free-form recognition of semi-structured, unstructured and in particular documents captured via mobile. Fuzzy matching technology significantly reduces regular expressions by 75%+. The OCR engine is now modular for enhanced flexibility and scalability.
New Identification Module
A new Identification module features a simplified and flexible user interface. With a customizable layout and docking windows, it can be used to perform document assembly, assign recognition templates, or easily identify document types to direct routing as well as data fields and validations.
Performance and Other Enhancement Features
New Standard Import replaces the Multi-Directory Watch (MDW) and Email Import modules and imports image files from directories, email and attachments from an email server, and files and batch node values from the Captiva Web Client as batches.
- 64-bit server to allow for bigger and more batches in memory for higher performance and faster completion of tasks
- Reduced cycle time for Production Auto-Learning (PAL) to learn how to classify and extract data from new documents in high volume environments
- Textual classification no longer requires PAL in order to classify documents using machine-learned keywords and relationships