Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Today, a plethora of options exists for the automatic extraction of data from both structured and semi-structured sources, including databases, online platforms, and printed forms, all of which machines can interpret through templates or established rules. Nonetheless, industries such as real estate, healthcare, and energy continue to depend significantly on unstructured documents, which often have unpredictable layouts or contain essential details buried within English sentences or paragraphs, rendering them nearly impossible for machines to decipher. In response to this challenge, Axis AI presents an innovative solution designed specifically for the classification and extraction of information from these unstructured formats. By leveraging advanced proprietary algorithms that incorporate Natural Language Processing (NLP), Axis AI can effectively read and extract pertinent data from sentences, paragraphs, or even entire pages composed in natural English. This capability not only enhances efficiency but also significantly reduces the time and resources required to manage unstructured content. With Axis AI, businesses can transform their approach to document management and improve their operational workflows.
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
No
API Access
Has API
No
Integrations
NETGENIQ FABRIC
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Axis Technical Group
Founded
2002
Country
United States
Website
www.axis-ai.com
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
Yes
Document Extraction
Yes
Email Address Extraction
Yes
IP Address Extraction
No
Image Extraction
No
Phone Number Extraction
Yes
Pricing Extraction
Yes
Web Data Extraction
No
Product Features
Data Extraction
Disparate Data Collection
No
Document Extraction
No
Email Address Extraction
No
IP Address Extraction
No
Image Extraction
No
Phone Number Extraction
No
Pricing Extraction
No
Web Data Extraction
No