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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Iron Mountain InSight is a cutting-edge Intelligent Document Processing (IDP) platform that harnesses the power of AI to enhance the handling of both physical and digital documents within organizations. By employing sophisticated Optical Character Recognition (OCR) and machine learning technologies, it transforms unstructured data into structured and actionable insights. The platform boasts a range of features, including data capture annotation, text extraction, detection of signatures, parsing of forms and contracts, automated machine learning, extraction through template-based models, GenAI-enhanced document comprehension, document segmentation, data validation, and support for human-in-the-loop (HITL) processes. InSight also provides a low-code environment that empowers users to customize workflows, streamline document routing, and pinpoint process inefficiencies or missing documents. It integrates effortlessly with existing IT systems, including popular cloud services such as AWS and Google Cloud, ensuring compliance by implementing updated records retention policies through its integration capabilities. Furthermore, its user-friendly interface makes it accessible for organizations of all sizes, allowing them to optimize their document management strategies effectively.

Description

NuOCR is an advanced optical character recognition solution designed for businesses that streamlines the extraction of data from various sources, including paper records, images, and PDF documents. Following the extraction process, users can easily validate the information and either store it in a database or download it for later use. This intelligent document processing tool transforms unstructured data into well-organized digital formats, enhancing the capabilities of customer relationship management systems and improving overall customer interaction. The traditional method of manually collecting data can be labor-intensive and prone to errors, which may lead to inaccuracies and compromised data quality. An automated data capture system, like NuOCR, addresses these challenges by reliably gathering information from any document type with precision and consistency. By converting content from paper, images, or PDFs into readily accessible, searchable, and accurate digital data, NuOCR significantly boosts operational efficiency and productivity for enterprises. Ultimately, this technology empowers businesses to make informed decisions based on high-quality data, fostering growth and innovation.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Akamai
Amazon Web Services (AWS)
Google Cloud Platform
Matillion
Microsoft 365
Microsoft Azure
SiteLock
Snowflake

Integrations

Akamai
Amazon Web Services (AWS)
Google Cloud Platform
Matillion
Microsoft 365
Microsoft Azure
SiteLock
Snowflake

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

Iron Mountain

Country

United States

Website

www.ironmountain.com/services/intelligent-document-processing-and-workflow-automation/insight

Vendor Details

Company Name

Nuvento

Founded

2007

Country

United States

Website

nuvento.com/intelligent-document-processing-software/

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

Alternatives

Alternatives

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