If you use an application tracking system to keep track of applicants, you'll want to incorporate a resume parser. But which is the best?
HR teams are responsible for bringing the best people into your organisation. It’s not an easy job, and there is a lot of planning and steps that go into this. From creating job ads to spending hours reading CVs and scheduling interviews, it can be a lengthy process. Using an applicant tracking system (ATS) simplifies recruitment to make it faster and easier.
If you already have applicant tracking software in place but wish you could input resumes directly (goodbye, manual data entry!) and have your software tell you which candidates best match your job description, you need a resume parser for your ATS. This is a CV parsing tool that integrates seamlessly into your ATS through an API, pulls relevant data from the resume, and uses that data to populate the candidate profile and resume template in your ATS.
There are many benefits to connecting ATS and resuming software analysis. Here are some examples:
Improving setup quality : Once you connect the ATS and resume software analysis, there is no going back. The resume parser makes it easier to view relevant candidate information and filter applicants based on their skill and work history. This will help you identify the best candidates for your job and make better hiring decisions. If you hire the right person for the job, that person will be more successful in that role.
Improving Candidate Experience : Candidates are often postponed because they have to both upload their resume and fill out a long form with exactly the same information. By connecting your resume parser to ATS, candidates simply upload their resume and the software does the rest. This is a much better experience for candidates as there is no double entry of data on your side. The application process can be much faster and less likely to lose qualified applicants due to application fatigue.
Accelerate recruitment : If you have ATS software with resume analysis capabilities, you can significantly speed up the recruitment process itself. Exclude candidates that do not meet the basic qualifications and have the system flag the best one. You already know who the most qualified candidates are, so spend less time reading your resume.
Bias reduction : A filtering application based solely on skill and experience can remove some of the unconscious bias from the process. Because all the data is in the same structured format, there is not much irrelevant information that unreasonably influences decision making.
SuperParser is the perfect resume parser for your ATS system. It works through an API that developers can easily integrate into ATS, Most implementation take less than 5 working days. It's also incredibly accurate. SuperParser uses resume-trained artificial intelligence and natural language processing models to find the data you need and extract that information from each resume. You can recognize the semantics behind the written description to more accurately classify the information.
The team here at SuperParser also provide exceptional service and are well known for our friendliness in addition to our technical expertise. Give our service team a call with any questions you have. They are all qualified Data scientist, with real-life experience integrated SuperParser into systems like yours. Not only can they answer your queries, they’ll also be happy to provide your developer with all the support he needs as he implements our parsing tools into your ATS.
With over 100 fields extracted from each resume, you will soon have plenty of detailed information on your job applicants. Gain access to data such as years of experience, qualifications, skills, languages spoken, referees, and much more.
Interested in seeing what SuperParser can do? Contact us today to book in a free, no-obligation demo of the product.