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Description
Carmen® OCR FleetCode is a specialized software library designed to automate the process of recognizing U.S. Department of Transportation (USDOT) numbers that are found on commercial motor vehicles. By efficiently extracting these important identifiers from a variety of image sources, it significantly improves fleet management practices, aids in regulatory compliance, and enhances traffic monitoring systems. The software is capable of processing both still images and live video feeds, guaranteeing accurate data capture under varying camera qualities and lighting situations. With compatibility for both Windows and Linux operating systems, Carmen® OCR FleetCode integrates effortlessly into current infrastructures through an intuitive API, providing support for numerous programming languages, including C, C++, C#, Java, and Visual Basic. Its versatility and reliability make it an essential tool for applications that demand precise vehicle identification and tracking, thereby streamlining operational efficiency and promoting safety within the transportation sector. Furthermore, the integration of this software can lead to improved decision-making processes for fleet operators.
Description
GLM-OCR is an advanced multimodal optical character recognition system and an open-source framework that excels in delivering precise, efficient, and thorough document comprehension by integrating textual and visual elements within a cohesive encoder-decoder design inspired by the GLM-V series. This model features a visual encoder that has been pre-trained on extensive image-text datasets alongside a streamlined cross-modal connector that channels information into a GLM-0.5B language decoder. It offers capabilities for layout detection, simultaneous recognition of various regions, and structured outputs for diverse content types, including text, tables, formulas, and intricate real-world document formats. Furthermore, it employs Multi-Token Prediction (MTP) loss and robust full-task reinforcement learning techniques to enhance training efficiency, boost recognition accuracy, and improve generalization across various tasks, leading to remarkable performance on significant document understanding challenges. This innovative approach not only sets new benchmarks but also opens up possibilities for further advancements in the field of document analysis.
API Access
Has API
API Access
Has API
Screenshots View All
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Integrations
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Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
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
Z.ai
Founded
2019
Country
China
Website
github.com/zai-org/GLM-OCR
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