A resume parser transforms resume data or employee and candidate related data into an organized, structured format to add to business proposal responses or for use in human resource management. Resume parsing software extracts information that is relevant to a specific role or for purposes of candidate analysis and evaluation.
It is the job of the resume parser software to identify core information such as keywords and qualification-relevant data to help your team avoid long hours sifting through hundreds of resumes. It is the proposal manager and HR professionals’ job to use the best resume parsing tools and techniques for the most accurate and efficient results.
In this blog article, we provide background on resume parsing techniques you need to know to achieve the right outcomes.
Resume Parsing Technique #1
Technique: Manual Parsing
The most time-consuming resume parsing technique is manual parsing. Manual parsing involves taking time to manually review candidate or employee resumes line by line. Recruiters, HR professionals, or proposal managers must set aside a minimum of two hours to review candidate resumes (assuming they are already on file) to simply determine who is a potential good fit.
Professionals continue with painstakingly updating the resumes to include keywords or specific details related to the role being filled. This comes only after a sizable prospective group of candidates is determined.
Scenario where this is beneficial: Your team has ample time to spare and the candidate submission or resume submission deadline is at least 30 days away. The proposal and teaming strategy is more than 80% complete.
Time to parse: 6+ hours (depends on number of candidates)
Resume Parsing Technique #2
Technique: Automated Parsing
Automated parsing is available with resume parsing software online or through an on-premise software application. Affordable resume parsing software allows users to parse resumes with several options.
The first option allows users to upload existing candidate resumes into the system to parse into organized sections. The parser automatically aligns extracted data into manageable sections such as Employment History and Technical Skills.
The next option enables users to take saved candidate profiles and create a role-specific resume using the stored candidate data. Resume parsing software has pre-existing templates available for quicker formatting requirements.
Another resume parser option for automated parsing is to work directly with the candidate. You can provide a secure login account for the candidate that gives access only to their candidate profile. As the candidate provides or updates their resume, the system syncs information to ensure the most up-to-date data is stored.
Automated parsing saves time where your team does not have a ton of time to spare. Your resume parser offers skills matrices for specified roles based on the available data in the resume parsing tool. Qualify candidates right away with skills matrices that can translate into formatted resumes.
Scenario where this is beneficial: Your team is bogged down with other simultaneous priorities and have a limited amount of time to review, evaluate, and format resumes. The proposal and teaming strategy require at least 50% more of the effort left to complete. There are several candidates to consider.
Time to parse: Less than 1 hour
Resume Parsing Technique #3
Technique: Hybrid Resume Parsing
Hybrid resume parsing requires the use of CV resume parsing online for a mix of automated parsing and manual parsing. Users still gain access to time saving methods and enhanced accuracy in resume development. The additional benefit is that users who may desire a bit more control on the outcome can leverage an online resume parser to automate output and manually edit extracted data.
Scenario where this is beneficial: Same as automated parsing scenario above, and your team must fill complex roles with specified requirements.
Time to parse: Less than 1 hour/varies
Identify the resume parsing that meets your goals and aligns with need when your team uses resume parsing tools online.
Types of Resume Parsers
Resume and CV parsing online is available to create a wider access to modern resource management for small business and large enterprises that seek affordable options to greater efficiency. Before you decide on the best resume parser to purchase, we are going to help you learn the types of resume parsers:
- Skill-based parsers. A skill-based parser allows users to generate skills matrices or saved job roles according to industry specific skills. Skills matrices align resumes and candidate profiles with skills to automate role-specific resumes into formatted templates.
- CRM parsers. A CRM (customer relationship management) parser acts as a dual tool for HR managers and proposal managers to store extracted data and candidate profiles for quick search or an automatic system audit. CRM resume parsers parse resumes as well as hold large datasets for resource management.
- Keyword parsers. A keyword parser identifies keywords and phrases within the resumes uploaded into the system to determine patterns and role fit based on keywords. This type of parsing is most effective when paired with intelligent resume parsing to improve accuracy.
- Intelligent parser. An intelligent parser uses algorithmic functions to cross-reference data and identify information that enables seamless automation and improved accuracy for resume parsing and formatting.
The best resume parser technology offers a combination of the above parser techniques and types of resume parsing for the most effective and measurable outcomes. Try resume parsing online today.