Resume parsing is a tool that analyzes a CV or a resume document and converts it into structured information for reporting, storing, analyzing, and screening. For a long time now, resumes have been screened and shortlisted manually. Recruiters would have to look through each resume separately and screen them based on skills, experience, education, etc. This process of shortlisting candidates took an immense amount of time and increased the cost of hire. This method also makes the company lose quality candidates as recruiters usually go through thousands of resumes and then shortlist until one is selected.

Why is automated data extraction for Resumes is tough using traditional methods? Recruitment is a $200 Billion industry globally with millions of people uploading resumes and applying for jobs everyday on thousands of employment platforms. Businesses have their openings listed on these platforms and job seekers come apply. Every business has a dedicated recruitment department that manually goes through the applicant resumes and extract relevant data to see if they are a fit. As people get creative with their resumes in terms of style and presentation, automating data extraction from these resume is difficult and it is still mostly a manual job.