RecruitPlus Resume Parser for Webware

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Key Details of RecruitPlus Resume Parser

Extract the candidate information from a CV.
Last updated on March 7, 2017
There have been 7 updates
Virus scan status:
Clean (it’s extremely likely that this software program is clean)

Developer’s Description

By ITCONS e-Solutions

Extract the candidate information from a CV.

Resume Parser is a software solution which automatically extract the candidate information, be it personal, professional, experience or education details from an unstructured CV of the candidate in English language. The CV can be in .doc, .docx, .html, .pdf, .rtf, .txt format. The parser also helps saving the extracted information into a database in a searchable format.

RecruitPlus Resume Parser is available in two variants:

1. Resume Parser Windows Application for bulk parsing from File folder/ Outlook/ web page along with facility of duplication check using Click one deployment. You can check http://onlineresumeparser.com/WebForms/rPlusPricing.aspx for bulk parsing pricing on SaaS model.

2. Resume Parser Web API, we provide .XML and HR-XML output of the CV; We give sample API integration code and help you integrating the same with your website career section/HRMS/ATS etc.; just in less than 3-6 hours of integration work, you are ready to reap the benefits of parsing. The API is platform independent and can be used for any application developed using any programming language like.net/.php/java.

Benefits of RecruitPlus Resume Parser:

The candidate: o can apply for a job quickly and easily o has a positive candidate experience

The recruiter: o saves up to 90% of time compared to manual entry of CV data o receives more candidates due to an increase in the conversion rate (up to 300%) o has an optimum CV database with complete candidate profiles

The employer: o strengthens the employer brand with an inventive job application process o sees a significant increase in the conversion rate of e-recruitment applications o can produce clear analyses and generate optimum search results due to structured data storage in a qualitative CV database o is more likely to achieve the best match between jobs and candidates