Candidate pre-qualification is a time-consuming stage in the recruitment process. If you’re still stuck at this stage in the recruitment process, you should know that with artificial intelligence, you may no longer have to. In fact, there are algorithmic tools like CV Parsing to take the pressure off. Let’s find out more about this CV analysis tool.
What is CV parsing?
Also known as “résumé parsing” or “CV analysis”, parsing is an automatic CV analysis technique. In simple terms, it consists of extracting key data from a document (CV) in a matter of seconds, such as a candidate’s name, profession or skills. The aim is to analyze and sort CVs in record time, in order to identify the profiles with the most potential for a specific job vacancy.
How CV parsing works
Opt for CV parsing so you can choose your staff wisely and be well looked after for longer. Deep Learning is the foundation of the artificial intelligence on which this free CV analysis software is based. In fact, Deep Learning is the set of automatic learning methods that mimic the human brain.
It can recognize shapes in images or letters in words. Résumé parsing, having identified all the key information about a candidate, collects, sorts and classifies it in a table or recruitment software in a matter of seconds. This is followed by the creation of candidate files and their completion, thanks to the automatic filling made possible by CV parsing.
This free CV analysis software may extract the following information:
- Candidate skills ;
- A candidate’s record of achievements since his or her professional beginnings;
- Hierarchical level ;
- Location information ;
- His educational background;
- Possible certifications.
However, this list is not complete!
Recruitment process with CV parsing
How artificial intelligence works in recruitment ? The recruiter generally publishes job offers once the team’s requirements have been gathered. Interested candidates apply and submit their CVs. This is where resume parsing comes in. What’s more, once the free CV analysis software receives the CV in question, it analyzes it with reference to precise keywords. The tool then summarizes the extracted data in a candidate file.
Saving recruiters the hassle of manually filling in their tracking table, this software is becoming a must-have these days. CV parsing only helps in the pre-selection of CVs. This can then be refined by the recruitment professional.
The benefits of CV parsing
Time savings
It’s not uncommon in some companies for a multitude of applications to reach the recruiter during the hiring process. Entering all the CVs into an Excel spreadsheet or recruitment management software is both exhausting and time-consuming. Calculate how much time you can spend on a hundred files, for example, knowing that it takes an average of 3 minutes to enter the main information. It would therefore be ideal to learn how to save time in your HR management.
Improving the candidate experience
Using our free CV analysis software, you can use the information contained in your CV toimprove the candidate experience. For example, it is possible to adjust the response e-mail sent to the applicant’s contact details or personalized information. Employer etiquette depends directly on candidates’ experiences and feedback. It’s vital for the company to take care in communicating with them, even if they’re not selected.
More qualitative recruitment
Entering information in a database or table adds no value. It doesn’t allow you to find out if your recruitment process is the right one. The time spent on this can be better spent on other activities, such as conducting job interviews. In this way, the recruiter avoids recruitment errors and optimizes the choice of candidate.
Creating a CV library
CV parsing offers the possibility of building up a CV library of candidates that the company can use for future recruitment of identical or similar skills. In fact, CV data can be pinned and sorted into tables to facilitate keyword searches.
The disadvantages of CV parsing
The risk of error
The use of CV parsing is not without risks. It’s important to be aware of its limitations, so as to optimize its use. It’s true that mistakes can be made, but the machine isn’t totally perfect. Algorithms are not infallible, and it is possible that the resume parsing software will not understand the resume, or will fail to identify the information correctly.
This can be verified when the CV sent is in image format (.jpg for example) or sometimes with certain protected .pdf formats. Common errors include :
- Misidentification of the employee’s gender: the recruiter may call the employee Mr. instead of Mrs., or vice versa;
- A permutation of surname/first name: this is particularly the case when the surname can also be used as a first name. The software will not be able to identify the surname from the first name when they are both written in lower case, for example ;
- Resumes in foreign languages: it may not identify information in a language other than the one set;
- A lack of understanding of key skills, especially when the CV does not follow the classic chronological order.
It is therefore essential to carefully check the information collected and implemented via the CV parking system to avoid any clumsiness or problems with the candidate.
The role of people in recruitment
The CV analysis tool also raises the question of the place of humans in the recruitment process. A robot that extracts personal and professional data, sorts and classifies them according to algorithms may have ethical and deontological problems.
Candidates may feel that they are being recruited in an automated, inhuman fashion. The impact on the employer brand must be taken seriously. CV parsing should therefore be seen as a first step in the recruitment process. It then enables the recruiter to personally take over the CV pre-qualification process, before initiating the various contacts and interviews with the candidate. Maintenance software: what are the key features and challenges?
The qualities of effective resume parsing software
A powerful free CV analysis software is one that can limit the number of analysis errors. However, many of these recruiting programs have developed this feature. Before you choosing your sourcing toolYou need to check its programming and operation:
- It must be able to execute any type of file: .pdf, .doc or .docx ;
- It must be capable of syntactic and semantic analysis, to avoid detours linked to the structure of the CV or the syntax used by the candidate;
- It needs to be updated frequently to keep up with the new formats offered by candidates. This applies in particular to social networking CVs (LinkedIn, Indeed, Xing, etc.);
- It must respect ethical criteria, and comply with the RGPD (General Data Protection Regulation) because information linked to candidates is likely to be kept ;
- Fast data processing.
However, CV parsing programs are often followed by additional functionalities: CV matching, data analysis, etc.
FAQ
- What’s the difference between CV parsing and CV matching?
- CV parsing automatically captures and extracts a candidate’s data from his or her CV, while CV matching gives a score or percentage of compatibility to a candidate in relation to a job offer.
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- How to evaluate the success of an interview?
- The effectiveness and success of recruitment are not easy things to assess. Human resources have a limited range of quantitative performance indicators at their disposal.
Conclusion
In short, CV parsing is an essential tool for companies handling high volumes of recruitment and receiving a large flow of applications at the same time. Although CV parsing has its limitations, it does save time. This method can be coupled with other skills or personality analysis functionalities.
