Carmen OCR RailCode
Carmen® OCR RailCode is a software library that automates the recognition of railway vehicle identification numbers, including UIC, BRA, RUS, and AAR codes, as well as North American chassis numbers. It achieves up to 99.7% accuracy, ensuring reliable data extraction across diverse rail networks. The software processes images from various sources, accommodating different camera positions and lighting conditions. Compatible with Windows and Linux operating systems, Carmen® OCR RailCode integrates seamlessly into existing systems through a user-friendly API, supporting programming languages such as C, C++, C#, Java, and Visual Basic. This makes it an invaluable tool for automated code reading, inventory management, and logistics operations within the railway industry.
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Dynamsoft Label Recognition
Dynamsoft Label Recognizer uses OCR to extract text, numbers, and structured data from labels with high accuracy and speed. Built for enterprise workflows, it recognizes text in challenging conditions - low contrast, curved surfaces, distorted images, or imperfect lighting, making it ideal for manufacturing, logistics, retail, and healthcare use cases.
The SDK supports customizable recognition templates, allowing developers to define expected text zones, patterns, and formats for consistent output. It handles multi-line labels, serial numbers, SKU information, date codes, lot numbers, and alphanumeric strings with strong error handling.
Dynamsoft Label Recognizer works across Windows, Linux, Android, iOS, and major browsers via JavaScript frameworks. It integrates seamlessly with Dynamsoft Barcode Reader and Camera Enhancer, enabling combined barcode + text extraction in a single workflow.
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Adobe PDF Library SDK
Developers rely on Datalogics to provide the most comprehensive PDF SDKs in the industry. We are SOC 2 Type 2 certified.
Global OEMs, SaaS and enterprise end-users rely on Adobe PDF Library to automate the creation, editing and management of PDFs. An Adobe partner, our SDK uses the same source code as Acrobat for stability, reliability and quality results.
Flexible programming language and platform options include .NET, .NET Framework, Java and C/C++ on Windows, Linux, MacOS; NuGet & Maven; pdfRest API Toolkit Container option.
Our extensive documentation includes getting started guides, API references, and hundreds of sample code examples on GitHub to help developers precisely create and define PDF workflow solutions.
Free trial with proof of concept support, join us on Discord or use our AI assistant for help, or set up a time to talk to one of our engineers about your project.
Our expertise and support is the reason we have a 91% customer retention rate.
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Carmen OCR FleetCode
Carmen® OCR FleetCode is a software library that automates the recognition of U.S. Department of Transportation (USDOT) numbers displayed on commercial motor vehicles. By accurately extracting these identifiers from various image sources, it enhances fleet management, regulatory compliance, and traffic monitoring systems. The software processes still images and live video feeds, ensuring reliable data capture regardless of camera quality or lighting conditions. Compatible with Windows and Linux operating systems, Carmen® OCR FleetCode integrates seamlessly into existing infrastructures through a user-friendly API, supporting multiple programming languages such as C, C++, C#, Java, and Visual Basic. This makes it an invaluable tool for applications requiring precise vehicle identification and tracking.
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