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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Carmen® OCR RailCode is a specialized software library designed to automate the identification of railway vehicle IDs, encompassing UIC, BRA, RUS, and AAR codes along with North American chassis numbers. With an impressive accuracy rate of up to 99.7%, it guarantees dependable data extraction across a variety of railway networks. The software is capable of processing images from multiple sources, effectively adapting to different lighting conditions and camera angles. It is compatible with both Windows and Linux operating systems, allowing for easy integration into existing systems through an intuitive API that supports various programming languages, including C, C++, C#, Java, and Visual Basic. As a result, Carmen® OCR RailCode proves to be an essential asset for automating code reading, managing inventory, and streamlining logistics operations within the railway sector. Furthermore, its versatility ensures that it can meet the evolving needs of the industry, making it a forward-thinking solution for modern railway challenges.

Description

RailPush is an innovative deployment service that effortlessly transitions your code from a repository to a fully operational application, complete with builds, HTTPS support, and a default URL right from the start. By simply connecting your repository, users can deploy their applications in a matter of minutes and receive a live URL, while RailPush efficiently manages deployments, data, and routing all in one place, allowing integration with GitHub and customization of build requirements. Each code push triggers a build process that checks the application's health and implements updates, providing instant URLs secured with TLS and offering preview links for testing. Users can initiate their first web service by linking their GitHub repository, choosing a specific repo and branch, and defining any necessary build or start commands, leading to an automatic deployment service. RailPush simplifies the development process by automatically identifying the runtime and creating an optimized Dockerfile, offering compatibility with popular languages such as Node.js, Python, Go, Ruby, Rust, Elixir, Java, and Docker. For those who prefer a hassle-free setup, pre-configured stacks are available, allowing users to deploy popular combinations like Next.js with Postgres, Django coupled with Redis, and Rails, among others, using straightforward templates that streamline the process even further. This all-in-one platform not only enhances productivity but also empowers developers to focus more on coding rather than the complexities of deployment.

API Access

Has API

API Access

Has API

Screenshots View All

No images available

Screenshots View All

Integrations

Amazon S3
Django
Docker
Elixir
GitHub
Go
Java
MeiliSearch
MongoDB
MySQL
Node.js
PostgreSQL
Python
Rails
Redis
Ruby
Rust
Stripe

Integrations

Amazon S3
Django
Docker
Elixir
GitHub
Go
Java
MeiliSearch
MongoDB
MySQL
Node.js
PostgreSQL
Python
Rails
Redis
Ruby
Rust
Stripe

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$4 per month
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

Adaptive Recognition

Founded

1991

Country

Hungary

Website

adaptiverecognition.com

Vendor Details

Company Name

RailPush

Founded

2026

Country

United States

Website

railpush.com

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

Product Features

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