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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

reciTAL is a pioneering software company specializing in Artificial Intelligence, recognized as the first player in Intelligent Document Processing with a Deep Tech designation. This innovative platform streamlines the extraction, classification, and searching of various document and email flows through automation. Users have the flexibility to re-train models at any point, incorporating insights from user feedback to enhance accuracy. The expert team at reciTAL supports clients in deploying the software within their own Kubernetes environments or through Docker Compose. Setting up fundamental business rules is quick and straightforward, allowing for efficient configuration of essential data points. Based on the confidence level achieved, an operator determines whether the extracted data is validated. The process of configuring a new document type is remarkably fast and user-friendly, and the validated data contributes to ongoing enhancements in performance. This continuous feedback loop ensures that reciTAL evolves to meet the changing needs of its users effectively.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
Gmail
Google Drive
Microsoft Azure
Microsoft Outlook
Microsoft SharePoint

Integrations

Amazon Web Services (AWS)
Gmail
Google Drive
Microsoft Azure
Microsoft Outlook
Microsoft SharePoint

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

reciTAL

Founded

2017

Country

France

Website

recital.ai/en/

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

Enterprise Search

AI / Machine Learning
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
eDiscovery

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