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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Tungsten Transact represents a cutting-edge solution in intelligent document automation that streamlines the management of incoming information for organizations on a daily basis. Whether deployed in the cloud or on-site, Transact caters to a diverse array of applications by utilizing sophisticated AI-driven OCR and supervised machine learning classification to swiftly identify and extract data from numerous document types with minimal input. This versatile tool is designed to handle documents across various business and governmental scenarios. Specifically, Tungsten's invoice processing system employs AI and OCR to automatically capture and extract information from invoices within mere seconds. It enhances efficiency in accounts payable, accounts receivable, and remittance processing, alleviating manual workloads. Furthermore, government agencies, often inundated with vast archives of paper documents, seek to modernize their operations, and Tungsten's innovative capture and extraction technology serves as an effective solution to revolutionize any process that involves heavy documentation. By embracing such advancements, organizations can significantly improve their workflow and data accuracy.

Description

Capture essential data throughout your organization with ease and precision. Leverage context-sensitive machine learning models to effectively extract pertinent information from your documents. Our advanced classifiers enable you to differentiate between various types of business documents. This includes recognizing employee contracts, leases, supply agreements, and beyond. Swiftly determine the language of your documents, whether they are in English, Portuguese, German, or other languages. Additionally, generate and access OCR text and images from more than 20 different file formats, such as emails, Word documents, and PDFs. Utilize any of the AI models available in our extensive library of over 1000 pre-built clause and provision models, all developed by our expert team to minimize initial setup time. Zuva DocAI is driven by Zuva's proprietary machine learning technology, which is trusted by leading law firms and enterprises for its exceptional accuracy in identifying, extracting, and analyzing document content. Furthermore, you have the capability to create custom AI applications tailored to your specific requirements, enhancing your operational efficiency.

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

Tungsten Automation

Founded

1985

Country

United States

Website

www.tungstenautomation.com/products/transact

Vendor Details

Company Name

Zuva

Country

Canada

Website

zuva.ai/docai/

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

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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Alternatives

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