Carmen OCR ContainerCode
Carmen® OCR ContainerCode is a software library that automates the recognition of container codes, achieving up to 99.7% accuracy. It supports ISO 6346 (BIC), MOCO, and ILU codes, facilitating efficient tracking across various transportation modes, including road, rail, and maritime. The software processes images from multiple sources, ensuring optimal OCR results regardless of camera position or lighting conditions. Compatible with Windows and Linux operating systems, Carmen® OCR ContainerCode 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 logistics operations, enhancing container visibility and streamlining supply chain management.
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Adobe PDF Library SDK
4.5 out of 5 stars
(6 Ratings)
Adobe PDF Library is the only commercial PDF SDK built on Adobe Acrobat's own core engine, delivering the same rendering accuracy, PDF spec coverage, and behavior as Acrobat itself.
Available in Modern C++, Adobe C/C++, .NET, .NET Framework, and Java, and supported on Windows, macOS, and Linux. Create, edit, merge, split, annotate, and watermark PDFs programmatically; convert to and from Word, Excel, PowerPoint, PDF/A, PDF/X, and more; add OCR, digital signatures, redaction, and encryption; and process AcroForms and XFA forms.
SOC 2 Type 2 compliant, with a 91% customer retention rate among enterprise users.
For enterprise deployment, the pdfRest API Toolkit Container packages this technology as a self hosted REST API for on premises, private cloud, or hybrid environments.
Datalogics also offers Scout, an AI assistant, and an MCP server so teams can bring PDF capabilities into AI powered workflows.
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Carmen Cloud
Carmen® Cloud is a cloud-based Automatic Number Plate Recognition (ANPR) solution that leverages advanced machine learning algorithms to deliver high-accuracy license plate, vehicle make, model, and color recognition across over 200 countries. Its dynamic algorithms continually adapt, ensuring reliable identification in challenging conditions.
Designed for seamless integration, it offers a single API call to access ANPR, Make and Model Recognition (MMR), and Hazard Identification Number Recognition (ADR), simplifying deployment across various applications such as traffic monitoring, parking management, and security operations. Carmen® Cloud's scalable infrastructure accommodates fluctuating demands, providing instant insights without delays or bottlenecks.
Its global reach and deployment flexibility make it versatile for organizations seeking efficient and precise vehicle recognition capabilities.
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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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