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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Generating customs declarations has become remarkably straightforward. Just upload your invoices, packing lists, delivery notes, and any other relevant customs paperwork to Dexter, who will handle the rest while you concentrate on higher-value tasks. By leveraging his extensive customs knowledge, Dexter addresses both the lack of skilled labor and the need for manual data entry in the customs declaration process. The integration of Dexter requires minimal effort on your part and can save you anywhere from 3 to 90 minutes per customs case starting from the very first day. He seamlessly manages the entire workflow, turning raw customs documents into submission-ready declarations for authorities with exceptional accuracy. You can process an array of documents, including today's invoices and tomorrow's bills, regardless of their size or language. Dexter is equipped to read and comprehend a diverse selection of customs documents, and you can also develop your own extraction models if desired. Furthermore, Dexter intelligently interprets the extracted data, ensuring that it aligns perfectly with your master data for optimal efficiency. Overall, Dexter transforms the customs declaration experience into a streamlined and efficient process.

Description

Companies handle a vast array of documents and information daily, encompassing both physical and digital formats. The task of processing these materials can be laborious and demand significant resources. IRISXtract™ streamlines this process by automatically categorizing documents and extracting critical information. It swiftly transfers the pertinent data to your business applications, achieving results more quickly and efficiently than traditional manual methods. Our solution guarantees high-quality paperless processing, accommodating every language and document type across various processes. At the core of this system is an advanced AI-driven classification engine that employs statistical operators to analyze documents based on specific features and characteristics. The extraction process utilizes a flexible, full-text methodology, eliminating the need for templates, manual setup, or complex training requirements. This innovation not only enhances productivity but also significantly reduces operational costs.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AEB Yes 
CargoSoft CRM Yes 

Integrations

AEB No 
CargoSoft CRM 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) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Digicust

Founded

2020

Country

Austria

Website

www.digicust.com/dxter/

Vendor Details

Company Name

IRIS

Founded

1987

Country

Belgium

Website

irisdatacapture.com/software/irisxtract/

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 

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 

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