A resume parser is a software tool that extracts information from resumes and converts it into a structured format that can be easily stored, searched, and analyzed by software. It is a deep learning/AI framework that identifies complete information from resumes, analyzes, stores, organizes, and enriches it through its taxonomies. Resume parsing technology can help HR managers handle resumes more efficiently, especially when they receive thousands of resumes per year.
There are several AI-based resume parsing and analytics tools available in the market, such as Affinda, HrFlow.ai, and Hirize. These tools use artificial intelligence (AI) and machine learning algorithms to scan and analyze resumes. They can extract data from a profile, a resume, or a CV across all media formats, such as names, emails, phones, locations, companies, schools, etc.
The application of AI in resume parsing has made it possible to automate the process of deciphering various resumes. An AI-enabled resume parser employs a natural language processing (NLP) motor to analyze resumes and extract relevant information. The parsed data is then stored in a central database in a coordinated fashion.
Resume parsing software can help recruiters efficiently manage electronically submitted resume documents. It can remove barriers created by different resume formats and make all candidate data accessible in standardized formats that can be modified to suit the needs of the company. By using resume parsing technology, HR managers can improve their ROI from increased conversion rates and offer an enhanced candidate experience.
