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ease
features
design
support

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Description

Carmen® OCR ContainerCode is an advanced software library designed to automate the recognition of container codes with a remarkable accuracy rate of up to 99.7%. It is capable of recognizing various code formats including ISO 6346 (BIC), MOCO, and ILU, which promotes efficient tracking across diverse transportation methods, such as road, rail, and maritime. The software is adept at processing images from different sources, guaranteeing optimal OCR performance regardless of factors like camera angle or lighting conditions. It is compatible with both Windows and Linux operating systems, and its user-friendly API allows for easy integration into existing systems, supporting multiple programming languages including C, C++, C#, Java, and Visual Basic. This versatility makes Carmen® OCR ContainerCode a vital asset in logistics, as it significantly improves container visibility and enhances the overall efficiency of supply chain management. Additionally, businesses can leverage its capabilities to reduce errors and improve operational workflows.

Description

Utilize UBIAI's advanced labeling platform to accelerate the training and deployment of your personalized NLP model like never before! When handling semi-structured documents such as invoices or contracts, it is essential to maintain the original layout for optimal model training. By integrating natural language processing with computer vision, UBIAI’s OCR functionality empowers you to execute named entity recognition (NER), relation extraction, and classification tasks directly on native PDF files, scanned images, or smartphone pictures, all while preserving critical layout details, which leads to a remarkable enhancement in your NLP model's performance. With the UBIAI text annotation tool, you can carry out NER, relation extraction, and document classification seamlessly within the same user-friendly interface. Unlike many other platforms, UBIAI offers the capability to create nested and overlapping entities that encompass multiple relationships, thereby enriching your data annotation process. This unique feature not only simplifies your workflow but also enhances the depth of insights your model can achieve.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

No images available

Screenshots View All

Integrations

Innovatiana No 

Integrations

Innovatiana Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$299 per month
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises Yes 
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) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

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

Vendor Details

Company Name

Adaptive Recognition

Founded

1991

Country

Hungary

Website

adaptiverecognition.com

Vendor Details

Company Name

UBIAI

Founded

2020

Country

United States

Website

ubiai.tools/

Product Features

OCR

Batch Processing No 
Convert to PDF No 
ID Scanning No 
Image Pre-processing No 
Indexing No 
Metadata Extraction No 
Multi-Language No 
Multiple Output Formats No 
Text Editor No 
Zone Selection Tool No 

Product Features

Data Labeling

Human-in-the-loop No 
Labeling Automation No 
Labeling Quality No 
Performance Tracking No 
Polygon, Rectangle, Line, Point No 
SDK No 
Supports Audio Files No 
Task Management No 
Team Collaboration No 
Training Data Management No 

OCR

Batch Processing No 
Convert to PDF No 
ID Scanning No 
Image Pre-processing No 
Indexing No 
Metadata Extraction No 
Multi-Language No 
Multiple Output Formats No 
Text Editor No 
Zone Selection Tool No 

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