Resume Parsing Software – Automated Information Extractor
An organization, on an average, can receive between 60 and 100 CVs per day. That's 21,900 to 36,500 hp per year! Managing such a large volume of resumes in filing cabinets is, of course, an inefficient system. Sorting stacks of resumes by hand is a difficult task, which becomes even more difficult as resumes soon become obsolete. And especially with the COVID-19 pandemic that generates more applications and resumes than ever before, companies must take advantage of technology designed exclusively to "analyze" batches of resumes. Resume Parsing Software – The Interpreter Resume parsing software is a compiler or interpreter that effectively eliminates the need to enter data manually. It works by intelligently extracting candidate data in its unstructured form and entering it into predefined fields, making the data more structured and organized. The ATS software will analyze the CV data and extract it into machine-readable output (JSON, XML) and will automatically separate the information into relevant fields like credentials, contact information, work experience, skills, etc., which will facilitate identification and select the most qualified candidates. Benefits of a Resume Parsing Software: With a resume parsing software, organizations can experience the following benefits:
The employAstar software helps save time by quickly organizing candidate details in their appropriate fields. HR teams can select the right candidates in record time. It improves candidate experience by offering them auto-fill forms. Applicants can apply for a job in a single click of a button without having to fill in their details manually. It helps organizations in developing and maintaining a valuable database.
Tips to Choose a Resume Parsing Software: Selecting the right resume analysis software is a must to reap the benefits mentioned above. Here are some tips about it.
Tip #1 It is important to choose a software that supports all kinds of formats, namely, PDF, doc, docx, HTML, RTF, etc. Tip #2 The software must seamlessly integrate with the company’s existing software. Tip #3 There must be a comprehensive collection of taxonomies to segregate and analyze candidate skills.
Tip #4 The software must automatically analyze language and region and parse information accordingly. Tip #5 It is better to choose a software that supports the parsing of multiple languages. Finally, here is an example to demonstrate the power and potential of resume analysis software: suppose an organization needs a marketing manager with an MBA and at least two years of experience in the field. Rather than reviewing the full CVs of hundreds of candidates, the recruiting team can simply click on the qualification and experience tab of the analysis software and get the results they need in half the time (maybe even less).