In the fast-paced world of recruitment today, hiring managers are often swamped with hundreds of resumes for a single position.
Sifting through all of these resumes can be a daunting and time-consuming task, leading many companies to seek out more efficient ways of screening candidates. Enter the resume parser – a software program designed to automate the process of extracting relevant information from resumes.
But what exactly is a resume parser, and how can it benefit your recruitment process?
We will leave out no question. Here’s our breakdown of everything you need to know about this powerful tool. From the basics of resume parsing and how it works to the benefits of using resume parsing software in your hiring process.
We will also provide some tips and best practices for job seekers to ensure their resumes are optimized for parsing.
Find out the importance of this tool and how it can streamline your recruitment process to shortlist the best candidates for your team.
- What does a resume parser do?
- What is a resume parser in NLP?
- Why should recruiters use a resume parser?
- How do I prepare my resume for parsing?
What Does a Resume Parser Do?
A resume parser is a software that automatically extracts and organizes information from resumes, CVs, and job applications.
The primary role of a resume parser is to help companies streamline the recruitment process. Over 98.8% of Fortune 500 companies started using resume parsers in recent years, consequently, companies of all sizes started relying on applicant tracking systems (ATS) to manage their recruitment process.
Here are 6 key functions of a resume parser:
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Standardization: A resume parser extracts data from resumes and converts it into a standardized format that can be easily searched, sorted, and compared. This ensures that all the information is uniform and can be easily compared across different candidates.
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Keyword Extraction: A resume parser identifies relevant keywords and phrases from the resume, which can be used to filter and rank candidates based on their skills and qualifications.
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Skill Matching: A resume parser matches the skills and qualifications listed on the resume with the job description. This helps recruiters to identify the most suitable candidates as per the job requirements.
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Contact Extraction: A resume parser extracts the contact information of the candidate, including their name, email address, phone number, and address.
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Qualification Matching: A resume parser extracts information about the candidate's work experience, education, certifications, and other relevant qualifications.
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Data Analysis: A resume parser can analyze the data from resumes to identify trends and patterns, which can be used to improve the recruitment process and identify areas for improvement.
Also read: How to create an ATS-friendly resume for the job you want in 2023?
How Do NLP-based Resume Parsers Work?
NLP (Natural Processing Software) is a branch of artificial intelligence that focuses on enabling computers to understand and interpret human language.
In the context of resume parsing, NLP algorithms are used to analyze the text of a resume and identify relevant information such as the candidate's work experience, education, skills, and contact details.
Resume parsing with NLP offers several benefits for recruiters and hiring managers. It can help ensure that important details are not overlooked or missed, in turn reducing bias in the recruitment process.
Also, NLP-based parsing can improve the accuracy and consistency of data extraction, reducing errors and improving the overall quality of candidate data.
Also read: What are the benefits of using AI resume builders?
3 Reasons Why Recruiters Should Use a Resume Parser
Recruiters are often inundated with resumes, making it difficult to sift through them all and identify the best candidates for a job opening. This is where resume parsers come in handy.
Here are the top 3 reasons why recruiters should consider using a resume parser:
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Saves Time: The biggest advantage of using a resume parser is the time it saves recruiters. Manually going through hundreds of resumes is a time-consuming task that can take days, if not weeks. A resume parser can do the same task in a matter of minutes, freeing up recruiters' time to focus on other important tasks.
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Increases Accuracy: A resume parser can analyze resumes more accurately than humans can. It can identify and extract relevant information from resumes, such as work experience, education, and skills, and organize it in a structured way. This makes it easier for recruiters to assess candidate suitability and make informed decisions.
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Eliminates Biases: A resume parser can help eliminate unconscious biases that may arise during the resume screening process. By using a structured approach to evaluate resumes, a resume parser can ensure that all candidates are evaluated based on the same criteria.
Also read: How long should a message to the hiring manager be?
How Do I Prepare My Resume For Parsing?
We conducted a study of the ATS-compatibility of Hiration resumes with 3 of the largest and new-age ATSs - Workable, Greenhouse, and Lever. Not to our surprise, we concluded that all the important sections in our resumes were parseable.
Ergo, with our studies, methods, and understanding, we bring 6 key points to keep in mind to make you resume ATS-compliant in 2023.
- Use 1 column resumes or 2 columns for modern ATSs
- Avoid shapes, images, and tables in your resume
- Only use .docx or PDF file formats, not even .doc
- Stick to fonts like Arial, Calibri, and Times New Roman
- Include enough relevant keywords matching the job title
- Don't overuse abbreviations or acronyms
- Use standard section headings like "Professional Experience" and "Education"
- Colorful designs in PDFs are fine, but not in docx files
Also read: Which resume builder out of Hiration and RX resume will be the best choice for you?
Want to make an ATS-compliant resume? Use Hiration’s next-gen ChatGPT powered resume builder that will make the daunting task of resume writing a breeze for you!
Key Takeaways
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A resume parser can help recruiters and hiring managers efficiently identify and evaluate the most qualified candidates for a job opening.
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By automating the process of resume analysis, a resume parser can save time and improve the accuracy of the hiring process.
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NLP-based resume parsing is a powerful tool that can help streamline the recruitment process and improve the quality of hiring decisions.
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Using a resume parser can help eliminate biases and ensure that all candidates are evaluated fairly.
Lastly, for any queries or concerns you can write to us at support@hiration.com.
