re:Scan re:Scan

Productivity
Version: 1.2
Last Update: 2019-03-08

Overview

re:Scan is a Chrome extension developed by rescantheapp. According to the data from Chrome web store, current version of re:Scan is 1.2, updated on 2019-03-08.
420 users have installed this extension. 1 users have rated this extension with an average rating of .

A Chrome extension that provides a detailed report on how well-tailored an applicant's resume is to a particular job description.

re:Scan is a resume scanner that takes in a resume and parses through it for keywords. It then parses through a web page's job description with the click of a button and provides a general summary that includes a similarity score, keyword comparisons, and suggestions. The parsed resume persists through multiple clicks, so there is no need to upload a new resume every time one wants to compare their resume to a job description. While the extension is geared towards helping job-seekers, it is also useful for recruiters who are curious about an applicant's resume's fit.

Rating

1 ratings

Total Installs

420

Information

Last Update

2019-03-08

Current Version

1.2

Size

6.63MiB

Author

rescantheapp

Website

None

Category

Productivity

Latest Reviews

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avatar Ben Dippelsman
2016-12-01

The similarity score is kind of neat, and it's nice to know which keywords show up most often bewteen two docs. The suggested keywords seem a little generic though.

avatar Ben Dippelsman
2016-12-01

The similarity score is kind of neat, and it's nice to know which keywords show up most often bewteen two docs. The suggested keywords seem a little generic though.

avatar Ben Dippelsman
2016-12-01

The similarity score is kind of neat, and it's nice to know which keywords show up most often bewteen two docs. The suggested keywords seem a little generic though.

avatar Ben Dippelsman
2016-12-01

The similarity score is kind of neat, and it's nice to know which keywords show up most often bewteen two docs. The suggested keywords seem a little generic though.

avatar Ben Dippelsman
2016-12-01

The similarity score is kind of neat, and it's nice to know which keywords show up most often bewteen two docs. The suggested keywords seem a little generic though.