What is resume parsing?
The process of extracting pertinent information from a resume and structuring it so that a computer can store, search for, and analyze it is known as resume parsing. Usually, fields like name, contact details, education, work experience, skills, and qualifications are included in the parsed data structure.
Employers and recruiters use resume parsing to automate the review and selection of job applications. The time and effort needed to review and analyze a large number of resumes can be greatly reduced. Also, it can make the process of finding qualified candidates more effective by extracting and organizing the information in a resume.
Software that uses artificial intelligence and natural language processing to retrieve pertinent data is generally used for resume parsing. Data can be recognized and extracted from a variety of formats, including PDF, Word, and HTML, by the software. To speed up the hiring process, the parsed data can be incorporated into a variety of HR tools and systems, including applicant tracking systems (ATS).
What does resume parsing software do?
Using a standardized format that a computer can easily store, search for, and evaluate, important information from resumes is automatically extracted by a resume parsing software. The software recognizes and extracts data from several areas of a resume, including contact information, education, work experience, abilities, and qualifications, using artificial intelligence and ATS.
The software may categorize the data after it has been retrieved into areas and groups that are frequently used in recruiting, including job title, employer, dates of employment, and pertinent skills. Once the data has been processed, it can be stored in a database or integrated with a variety of HR tools and systems, including applicant tracking systems (ATS) and HR management systems (HRMS).
By automatically filtering and choosing the best candidates from the pool of job applications, resume parsing software helps speed up the hiring process. The time and effort needed to review and analyze a large number of resumes can be greatly reduced. Also, it can make the process of finding qualified candidates more effective by extracting and organizing the information in a resume.
Learn More: How does resume screening software work?
Factors to consider while choosing a resume parser software
Given the significance of the resume parser in the hiring process, it is imperative to select the best resume parser for your company. Here are some things to think about and a beginner’s guide to selecting the best resume parser if you are choosing a resume parser for your startup for the first time.
1. Fast processing speed
Software for parsing resumes should process data quickly. This guarantees that resume data may be quickly and precisely interpreted, saving time and effort for recruiters when screening resumes. Even for the most complex resume documents, the parser should be able to perform quick and accurate resume processing. Resumés can be processed by modern AI-based parsers in 1-3 seconds.
When selecting resume-parsing software, the first thing to look for is support for different formats. Resumes in PDF, DOC, HTML, and other file types should be able to be recognized by the resume parser. This guarantees that there won’t be any compatibility problems when parsing different resume formats. Regardless of the file formats utilized or the systems used by the company, compatibility ensures that the resume screening software can be used effectively in a range of recruitment circumstances. Organizations can make the software a fluid and efficient component of their hiring process by guaranteeing compatibility.
If the resume parser can be integrated with current Human Resource Management Systems(HRMS) or Applicant Tracking Systems (ATS), it is the third thing to think about. This makes it easier for recruiters to access and manage applicant information because it guarantees that all candidate data gathered by resume parsing software will be maintained in a centralized database.
As taking inputs in human-readable (Doc, PDF) formats and converting them into machine-readable (XML or JSON) formats is the main task of the resume parser. These are only a couple of the formats available. A resume parser should accept inputs and produce results in a variety of forms. Also, the software must allow users to make the necessary customizations.
5. Eliminate bias
If the resume parser can eliminate any biases from resume data is another thing to take into account. Biased resume data can result in mistakes being made while screening resumes and making decisions, which could have a major impact on the hiring process. All resumes are analyzed precisely and fairly with the use of bias reduction tools in resume parsing software. While analyzing resumes and choosing candidates for job opportunities, aids recruiters in reaching just conclusions.
Also, read: Steps to follow when hiring new employees
I write blogs about new technology and tools, Digital marketing, start-up Business, entrepreneurship, and software development. I have 7 years of experience in writing articles or blogs on new technology for development, startup ideas, digital marketing strategies, and IOS and Android app designs.