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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

OpenText Capture Center, previously known as DOKuStar Capture Suite, employs cutting-edge document and character recognition technology to convert various documents into machine-readable formats. The software effectively extracts data from scanned images and faxes, utilizing advanced techniques like OCR, ICR, and IDR, along with adaptive reading capabilities. By minimizing the need for manual data entry and reducing paper processing, Capture Center streamlines business operations, enhances data accuracy, and offers cost savings. The system also boosts data integrity entering your ECM or ERP platforms through automated rule-based classification, extraction, and verification processes. Additionally, it features one-click and manual exception handling to further elevate precision. OpenText Capture Center efficiently captures and digitizes documents, forms, and faxes from a variety of sources, including high-end scanners, Multifunction Peripherals (MFPs), email servers, Microsoft® SharePoint® servers, and FTP locations, ensuring a comprehensive solution for document management. Ultimately, this powerful tool not only increases productivity but also mitigates the risks associated with data entry errors.

Description

Extracting information from both scanned and digital documents is essential for modern businesses. Regardless of the layout or complexity of the documents, it is possible to convert them into an organized and machine-readable format. This automation of document processing allows for the efficient handling of all types of business documents. By transforming scanned and digital materials into a structured format, organizations can utilize this cleaned data for various downstream processes, whether that means storing it in a database or exporting it to a spreadsheet. This solution surpasses the capabilities of basic OCR and standard document parsing, as simply extracting plain text is often inadequate for many applications. Instead, it is crucial to convert text and data embedded within documents of any size into structured information. This approach not only enhances the scale and efficiency of business operations but also automates data extraction, resulting in immediate improvements in workflow. By processing a significantly larger volume of documents, businesses can reduce the need for additional personnel dedicated to document management and minimize the risk of human error. Ultimately, this transformative capability streamlines operations and drives productivity across the organization.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Microsoft SharePoint
OpenText Core Content Management
Quantinuum Nexus

Integrations

Microsoft SharePoint
OpenText Core Content Management
Quantinuum Nexus

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

OpenText

Founded

1991

Country

Canada

Website

www.opentext.fr/solutions-et-produits/produits/business-network/capture-and-recognition/opentext-capture-center

Vendor Details

Company Name

Quantxt

Founded

2013

Country

United States

Website

quantxt.com

Product Features

OCR

Batch Processing
Convert to PDF
ID Scanning
Image Pre-processing
Indexing
Metadata Extraction
Multi-Language
Multiple Output Formats
Text Editor
Zone Selection Tool

Product Features

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

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