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What is Sutherland Extract?

Sutherland Extract is a cutting-edge OCR solution powered by AI, continuously improving its capabilities by learning from exceptions, which enhances its intelligence over time. This powerful platform enables cognitive data extraction from beginning to end, effectively addressing the operational challenges faced in document-heavy processes. It seamlessly integrates with robotic process automation tools and a range of applications within your organizational ecosystem. Access to essential data is crucial for business success, and it must be accessible, relevant, and actionable to drive results. Unlike traditional Optical Character Recognition (OCR) systems that restrict digitization effectiveness, our AI-enhanced extraction platform can effortlessly interface with your existing applications to improve operational efficiency. Conventional OCR methods often require a complex set of rules and templates for each document type, leading to dependency on human intervention and protracted processing durations. Conversely, Sutherland Extract utilizes advanced deep learning technologies that understand document layouts, significantly improving Straight-Through Processing (STP) through smart data extraction and cognitive automation. This revolutionary strategy not only optimizes workflows but also enables organizations to make well-informed decisions backed by trustworthy data insights, fostering a more agile and responsive business environment. With its ability to adapt and evolve, Sutherland Extract represents the future of efficient data management in an increasingly digital world.

What is Box Extract?

Box Extract is a cutting-edge tool that leverages artificial intelligence to efficiently identify, collect, and convert structured data from unstructured sources such as documents, PDFs, spreadsheets, images, and other formats into organized metadata that facilitates easy storage, searching, and utilization, ultimately improving business operations. The technology employs sophisticated large language models, optical character recognition (OCR), chain-of-thought prompting, and specialized retrieval-augmented generation combined with reasoning techniques to achieve a profound comprehension of document content and structure with remarkable accuracy, all while eliminating the necessity for extensive training or complex setups. Users can choose between Standard and Enhanced Extract Agents, capable of handling everything from basic fields like names and dates to complex components such as hazardous clauses, tables, and graphs. Moreover, they have the ability to develop Custom Extract Agents utilizing configurable metadata templates, which allows for efficient management across numerous folders and repositories. This adaptability empowers organizations to customize the tool according to their unique requirements, thereby enhancing both efficiency and effectiveness in data management. As a result, businesses can experience a significant reduction in time spent on data extraction tasks, leading to more streamlined workflows and improved overall productivity.

Media

Media

Integrations Supported

Box

Integrations Supported

Box

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Sutherland

Date Founded

1986

Company Location

United States

Company Website

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

Company Facts

Organization Name

Box

Date Founded

2008

Company Location

United States

Company Website

www.box.com/extract

Categories and Features

Data Extraction

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

Categories and Features

Data Extraction

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

OCR

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

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