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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Box Extract is an innovative data extraction tool powered by AI, designed to effectively pinpoint, gather, and transform structured data from unstructured sources, including documents, PDFs, spreadsheets, images, and various file formats into organized metadata that can be easily stored, searched, and utilized for streamlining business operations. This solution integrates advanced large language models, optical character recognition (OCR), chain-of-thought prompting, specialized retrieval-augmented generation, and reasoning techniques to achieve a deep understanding of document content and format with exceptional precision, all without the need for extensive model training or complicated configurations. Users have the option to select either Standard or Enhanced Extract Agents, which can manage everything from straightforward fields such as names and dates to intricate elements like risky clauses, tables, and graphs. Additionally, they can create Custom Extract Agents using configurable metadata templates, enabling large-scale operations across various folders and repositories. This flexibility ensures that businesses can tailor the solution to their specific needs, maximizing efficiency and effectiveness in data handling.

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.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

No images available

Integrations

Box

Integrations

Box

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
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

Box

Founded

2008

Country

United States

Website

www.box.com/extract

Vendor Details

Company Name

Adaptive Recognition

Founded

1991

Country

Hungary

Website

adaptiverecognition.com

Product Features

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

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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