Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
You can forget about manual content classification or data entry. Doculayer.ai provides a configurable workflow that includes document processing services such as OCR, document type classification and topic classification, as well data extraction and masking. Doculayer.ai allows business users to take control of their learning and training by providing an intuitive user interface that makes labeling documents and data easy. Our hybrid data extraction approach allows machine learning models to be combined with patterns, rules, and library scripts to produce better results in less time. Data masking is an option to anonymize or pseudonymize sensitive data in documents. Doculayer.ai provides document intelligence to your Content Services Platform and Business Process Management systems. Your existing IT environment can be augmented for document processing by machine learning, natural language processing and computer vision technologies.
Description
Time reporting can be performed either through centralized methods or by individual user entry, with options for daily or weekly views. Remote time reporting capabilities are facilitated via Terminal Services (RDP). The system is user-friendly, retaining settings until explicitly cleared, which simplifies the process of entering recurring classifications. It supports the collection and categorization of time spent over various periods, such as daily, weekly, and monthly, and includes functionality for recording and reporting expenses. Users can add comments to each time record, and classification can be done by Job/Task, which integrates seamlessly with the Job Cost Module. Additionally, categorization by Department Code and by Class Level, defined by administrators, allows for specific accounting classifications to be linked to each time record. Users have the ability to recall and review all entries from prior periods, and the Management Console provides a comprehensive overview of the reporting status for all users. The system distinguishes between billable and non-billable hours and also includes features for expense reporting and reimbursement. This comprehensive approach ensures clarity and efficiency in time and expense management across the organization.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
$2500.00/one-time
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Doculayer
Founded
2007
Country
Netherlands
Website
www.doculayer.com/doculayer-platform
Vendor Details
Company Name
AdvanTec Information Systems
Founded
1998
Country
United States
Website
www.advantecis.com/PDFs/Time%20ReportingSA.pdf
Product Features
Data Extraction
Disparate Data Collection
No
Document Extraction
No
Email Address Extraction
No
IP Address Extraction
No
Image Extraction
No
Phone Number Extraction
No
Pricing Extraction
No
Web Data Extraction
No
OCR
Batch Processing
No
Convert to PDF
No
ID Scanning
No
Image Pre-processing
No
Indexing
No
Metadata Extraction
No
Multi-Language
No
Multiple Output Formats
No
Text Editor
No
Zone Selection Tool
No
Product Features
Time and Expense
Activity Tracking
Yes
Billable Hours Tracking
Yes
Billing Rate Management
Yes
Expense Tracking
Yes
Invoice Processing
Yes
Multiple Billing Rates
Yes
Project Tracking
Yes
Reimbursement Management
Yes
Time Tracking by Client
Yes
Time Tracking by Project
Yes