Resume Parsing: How Recruiters Sort Thousands of Resumes

Whenever you see a new job gets posted and job applications start coming in and going through resume parsing, here’s what usually happens:

The Jobseeker’s side

• The jobseeker finds a job opening online that they are interested in and submits their resume.
• The jobseeker waits for a response from the recruiter.
• The jobseeker either receives an email or a phone call from the recruiter inviting them for an interview, or they receive no response at all.

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The Recruiter’s side:

• The recruiter posts a job opening online and waits for applications to come in.
• The recruiter receives a list of resumes that are sorted and ranked by how well they fit the job description.
• The recruiter reviews the top-ranked resumes and selects the most qualified candidates to contact for an interview.
• The recruiter ignores or rejects the low-ranked resumes

Behind the scenes, a very advanced software was at work, making sure that recruiters were always able to connect to the right jobseekers despite receiving applications that were not humanly possible to sort through manually. This software, known as an applicant tracking system (ATS), scanned and analyzed each resume and matched it with the job description… A function that is referred to as resume parsing. It then ranked the resumes by how well they fit the role and sent only the best ones to the recruiters for further review. By using an ATS, recruiters could save time and resources and focus on the most qualified candidates for the job.

What Is Resume Parsing?

Resume parsing is a process wherein a company or business uses software to structure and organize the resumes that potential team members submit in response to a job listing. When it comes to modern recruitment, you can use a resume parsing software to scan large volumes of documents, analyze them, and extract the information you need. The software can also search, sort, and extract relevant data such as:

• Skills
• Desired salary
• Visa status
• Work history
• Contact information
• Achievements
• Education
• Certifications
• Professional specialties
• Other qualifications and key terms

Resume parsing software can also convert resumes into different formats, such as PDF, HTML, or plain text. This will allow you to standardize the appearance and layout of resumes and make them easier to read and compare.

TIPS: Check this out if you’d like to learn more about resume parsing

Types of Resume Parsing

There are three main types of resume parsing software including:

• Statistical parsing: This is a method that applies numerical models to applications to review the structures of resumes. it yields highly accurate results and helps differentiate the context of words and phrases. By using statistical parsing, you can highlight numerical phrases such as addresses or work history timelines.
• Keyword-based parsing: It is the simplest and most common parsing type. This software scans resumes and cover letters for customized and predetermined phrases and words that match the original job description. Keyword-based resume parsing allows you to determine specific characteristics and skills quickly and efficiently.
• Grammar-based parsing: This method uses grammatical rules while scanning resumes to provide context for phrases and words. It can ensure that the results of the parsing mainly include relevant results. For example, if you’re searching for candidates who list responsibility as a skill or core characteristic, grammar-based parsing would only highlight applicants that use the word in that context instead of including phrases such as “responsible for” in their work experience section.

Benefits of Automated Resume Parsing

Saves Time

Resume parsing software can help you quickly sort resumes by automatically searching for relevant keywords and qualifications instead of manually searching each resume. This can reduce the time spent on screening resumes and allow you to focus on more important tasks such as interviewing candidates or building relationships.

Improves Accuracy

With a resume parsing software, you can avoid human errors such as typos, misspellings, or incorrect data entry that can affect the quality of your candidate database. It can also help you eliminate bias by providing objective and consistent criteria for evaluating candidates.

Enhances Candidate Experience

Through the use of resume parsing software, you can improve candidates’ experience by ensuring every resume gets an equal amount of attention, thereby leveling the playing field for all applicants. A large volume of applications is no longer a barrier when an ATS parses through all of the submitted resumes automatically, thereby enabling quick feedback on whether applicants are suitable for the job or not.

Optimizes Data Management

Resume parsing software can help you store, organize, and access resume data in a centralized and secure location. You can also use resume parsing software to generate reports, insights, and analytics that can help you measure your hiring performance, identify talent gaps, and optimize your recruitment strategy.

Which Resume Parsing Tool Should You Use?

What is your resume parsing tool and does it have the ability to do the following? Here’s a checklist for you.

• A resume parsing tool should have the capability to parse various CV formats, such as PDF, Word, HTML, or plain text. This can help recruiters handle resumes from different sources and platforms without losing any data or formatting.
• Able to handle CVs and candidate profiles in multiple languages. This can help recruiters expand their talent pool and reach candidates from different regions and backgrounds.
• Possess a comprehensive skill taxonomy for identifying candidates. This can help recruiters match candidates with the right skills and qualifications to the job requirements and avoid missing any relevant information.
• Have the capability to extract all necessary candidate information from as many data fields as possible. This can help recruiters create detailed and standardized candidate profiles that include contact information, work history, education, achievements, certifications, and more.
• Comes with the ability to enrich candidate profiles with data from social media platforms and other sources. This can help recruiters get a more holistic view of candidates and their interests, hobbies, personality, and cultural fit.
• Able to automatically rank candidates based on their relevance to the job description. This can help recruiters prioritize candidates and save time on screening resumes.
• Have the capability to suggest candidates for other open positions that match their skills and qualifications. This can help recruiters maximize their candidate database and fill vacancies faster.
• Possess the ability to store, organize, and access resume data in a centralized and secure location. This can help recruiters manage their candidate database and ensure data privacy and compliance.
• Can integrate with other platforms such as job boards, email providers, calendar apps, and more. This can help recruiters streamline their hiring process and improve their communication and collaboration with candidates and hiring managers [1].
• Have the ability to generate reports, insights, and analytics that can help recruiters measure their hiring performance, identify talent gaps, and optimize their recruitment strategy.

In Manatal’s case, our recruitment software offers a powerful resume parsing feature that can extract data from any document format in seconds. It also provides a candidate scoring feature that automatically ranks candidates based on their relevance to the job description.

How Manatal’s Resume Parsing Works

Manatal’s resume parsing feature can parse resumes from any document format, such as PDF, Word, HTML, or plain text.

In addition, it can extract data from resumes and create comprehensive candidate profiles that include contact information, skills, work history, education, achievements, certifications, and more. It can also enrich candidate profiles with data from LinkedIn and other social media platforms.

For your convenience, Manatal comes with the ability to automatically rank candidates based on their relevance to the job description using a candidate scoring feature. It can also suggest candidates for other open positions that match their skills and qualifications.

Organizing and accessing resume data in a centralized and secure location can be done through the use of Manatal. Plus, you can also use its search tools, filters, and tags to find the best candidates in your database.

Last but not least, you can integrate Manatal with other platforms such as job boards, email providers, calendar apps, and more.

As a recruiter, are you tired of spending endless hours manually entering data from resumes and job applications? Imagine being able to streamline your hiring process and focus more on finding the best candidates for the job.

Introducing Manatal, the specialized software that can quickly and accurately extract key information and save you valuable time and resources. With its LinkedIn Chrome Extension, you can import all relevant applicant information directly from their profiles into your database, ensuring that all data you have is accurate.

Start a 14-day free trial with Manatal to learn more about its ability to elevate your recruitment game within a few clicks.