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Average Ratings 0 Ratings

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ease
features
design
support

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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

No images available

Screenshots View All

Integrations

No details available.

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

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

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