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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

CVReader is a powerful resume parsing tool specifically created to enhance the recruitment process. It enables real-time data analysis, effectively extracting important information such as personal details, educational background, work history, and skills from a variety of file formats including DOC, DOCX, PDF, ODT, RTF, and scanned JPEGs. The system is capable of managing multiple languages and automates the extraction of data into an XML format for straightforward integration with other software. Candidates have the opportunity to review and modify their information prior to final submission, ensuring accuracy. Prioritizing data security, CVReader guarantees the privacy of user information while also offering seamless API integration for added convenience. It efficiently extracts more than 40 essential data points, yielding detailed insights tailored for the needs of recruitment agencies, human resources, and professional services, thus simplifying the resume management process. Additionally, the tool's user-friendly interface allows recruiters to streamline their hiring workflows effectively.

Description

Effortlessly fill your Recruiting, Sales, Admissions, and Training applications with precise candidate information, eliminating the need for manual data entry. The effectiveness of your operations is directly tied to the accuracy of the information you utilize. With ResumeMill's advanced resume parsing technology, each key field is meticulously analyzed, ensuring your data remains not only reliable but also conducive to achieving impressive outcomes. By employing a sophisticated, multi-layered AI parsing engine, ResumeMill guarantees a high level of accuracy which supports sound analysis and informed decision-making for your business needs. Developed through extensive research by a team of skilled AI experts, the ResumeMill platform addresses the intricate challenges associated with resume parsing. Rather than investing substantial time and resources into creating a new solution, organizations can leverage this tool to quickly gain operational advantages and concentrate on their core competencies. Additionally, this approach allows businesses to streamline their processes, enhancing productivity and driving success.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

No images available

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

$412.20 per year
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
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 Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

BESTLOG

Founded

2020

Country

Luxembourg

Website

bestlog.tech

Vendor Details

Company Name

Platina Software

Country

India

Website

www.platinasoft.com/resumemill/

Product Features

Resume Parsing

Automated Application Input No 
Automatic Updating No 
Customizable Macros No 
Data Extraction No 
Multi-Language No 
Resume Import No 
Resume Management No 
Semantic Matching No 
Social Media Corroboration No 
Sort / Filter No 
White Label Option No 

Product Features

Resume Parsing

Automated Application Input No 
Automatic Updating No 
Customizable Macros No 
Data Extraction No 
Multi-Language No 
Resume Import No 
Resume Management No 
Semantic Matching No 
Social Media Corroboration No 
Sort / Filter No 
White Label Option No 

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