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Average Ratings 0 Ratings

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ease
features
design
support

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Description

DocProStar is specifically crafted to streamline document-driven business operations for contemporary digital enterprises. Transitioning from mere document management, it empowers users to harness previously inaccessible data for the automatic execution of transactions and business workflows. This innovative solution is constructed upon a modern, resilient, and highly scalable processing platform. Leveraging this adaptable foundation, DocProStar integrates Robotic Process Automation (RPA), Artificial Intelligence (AI), and a suite of cutting-edge technologies to enhance administrative efficiency to unprecedented levels. Prior to commencing any processing tasks, the system efficiently gathers documents and data. What distinguishes DocProStar is its verified ability to capture data from any format and source, while also ensuring that all inputs are normalized for consistent digital processing. By employing advanced AI techniques and sophisticated extraction algorithms, the platform meticulously analyzes and retrieves essential, actionable business insights, thus facilitating smarter decision-making. This not only optimizes workflows but also significantly reduces operational bottlenecks.

Description

Sutherland Extract is an advanced OCR solution driven by AI that evolves by learning from exceptions, enhancing its intelligence over time. This robust platform facilitates cognitive data extraction from input to output, effectively tackling the operational hurdles encountered in document-centric workflows. It integrates smoothly with robotic process automation tools and a variety of applications within your business framework. Access to data is vital for businesses to succeed, and that data must be available, pertinent, and actionable. Unlike conventional Optical Character Recognition (OCR) systems that impose limitations on digitization success, our AI-driven extraction platform can easily link with your current applications to boost efficiency. Traditional OCR approaches demand extensive rules and templates for every unique document format, resulting in a reliance on human input and lengthy processing times. In contrast, Sutherland Extract employs sophisticated deep learning technology that comprehends document structures, significantly enhancing Straight-Through Processing (STP) through intelligent data extraction and cognitive automation. This innovative approach not only streamlines workflows but also empowers organizations to make more informed decisions based on reliable data insights.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

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

TCG Process

Founded

1994

Country

Switzerland

Website

www.tcgprocess.com/en-en/products/docprostar/

Vendor Details

Company Name

Sutherland

Founded

1986

Country

United States

Website

www.sutherlandglobal.com/products-x-platforms/sutherland-extract

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

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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