The foundation of a great workforce depends on the quality of hiring, but the traditional recruiting system limits on it. The recruiting professionals are constantly searching for better ways to hire as the demand for talented professionals goes up. Identifying the right applicants from the large pool of applications is the most challenging part of the recruitment process as per most of the recruiting professionals. Because most of them are doing it manually. Most of the recruiters spend approximately one-third of their time in a week for sourcing candidates for a single role, and some may spend more.

It is the reason why AI based resume parser is the need of the recruitment industry. It offers more efficient ways to streamline the resume screening efforts. Resumes receive in many formats. Job applicants use various typefaces and different behaviors of communicating the same idea. One applicant may use a well-written paragraph to explain his/her work experience or skills, and another may brief in bullet points. One may use abbreviation MD for “managing director” and another may use for “medical doctor.”

It is easy for the human brain to identify differences between contextual texts but can cause a problem for computers. Resume parser is a software that converts free-form of text into machine-readable formats. It extracts information from resumes and stores into segregated fields of ATS/CRM or any connected recruitment software. It makes easy for recruiters to find the suitable candidates for the given job profile quickly using a keyword search. It uses advanced AI to automatically capture information from every resume into complete and searchable applicant record.

Features of AI-powered resume parser:

• It helps in a seamless integration into existing HR software, career sites, ATS, CRM and other job portals.
• It helps in extracting information from multiple fields of resumes.
• It supports multilingual resume processing.
• It contains a rich library of taxonomies to identify skills.

Benefits of AI-powered resume parser:

• It fetches resumes in bulk from any source.
• It finds relevant matches using a semantic search.
• It saves the time required for the manual process.
• It helps to create a valuable candidate database.
• Easy to integrate
• It extracts data from resumes as well as from job descriptions.
• Increased conversion rate helps to improve ROI.
• Its JD parser assists in structuring and categorizing jobs in bulk and makes them searchable.