A Résumé parsing technology converts an unstructured form of resume data into a structured format. A CV/ Resume parser analyses resume data and automatically extracts it into machine-readable output such as XML, JSON.
A resume parser extracts, analyzes, and organizes data from resumes to identify suitable candidates. This tool streamlines the recruitment process, minimizes errors, and saves time, thus enhancing recruiters’ efficiency.
In my role as an HR Manager for an enterprise, managing thousands of resumes annually has been a challenging and time-consuming task. The concept of resume parsing technology caught my attention, prompting me to delve into understanding what a resume parser is and how it automates the parsing process.
In order to gain firsthand experience, I opted to explore a demo offered by a prominent resume parser provider. Utilizing their CV parsing software, I automated bulk resume data extraction.
What is a Resume Parsing?
A resume parser is a deep learning/AI framework that extracts complete information from resumes, analyzes, organizes, and enriches it using its taxonomies. Resume parsing software accelerates the hiring process and improves overall productivity.
Fast and accurate resume parsing technology improves efficiency and helps to build high quality candidate database.
Why do businesses use Resume Parser?
- Saves Time and Efforts:
Parsing resumes manually is time-consuming. The resume parser automatically parses resumes and extracts candidate data in 200+ fields. By extracting details from resumes accurately it significantly reduces the time and effort required to screen candidates.
- Increases Efficiency:
A resume parser analyses a large volume of resumes and allows recruiters to focus on evaluating qualified candidates rather than sorting through piles of paperwork.
It offers auto-filling of forms in less than 10 seconds so that candidates can apply for a job post in a single click without manually filling out details.
- Improves Accuracy:
Resume parsing software helps avoid human errors such as misspellings, typo errors, and incorrect or incomplete data that can compromise the quality of the candidate database.
A resume parsing software can remove the data that users feel can cause bias in their recruiting decision. They can identify the data fields and enable/ disable fields as per their requirement. Once they disable the fields, the parser will not fetch data for the same.
It allows RChilli’s resume/JD parser to parse multiple resumes/JDs in a go. All you need to do is upload multiple resumes/JDs to the given FTP, and you will get the extracted information in seconds.
- Enhances Employer Branding:
A resume parser helps to build your employer’s brand among candidates. It also attracts and retains new talent.
- Facilitates Better Hiring Decisions:
A resume parser gives structured data of resumes which makes it easier to shortlist candidates. As a result, you get relevant candidates in your talent pool resulting in better decision making.
- Fetch Resumes from Emails:
You can parse resumes or jobs from single or multiple email inboxes. Within less than two seconds, you can get resume/job data in your database.
How does resume parser work?
[1] A resume parser extracts resume data and converts it into unstructured data into a structured form.
[2] It automatically segregates extracted information into various fields and parameters like contact information, educational qualification, work experience, skills, achievements, and professional certifications to quickly help you identify the most relevant resumes based on your criteria.
[3] A parser takes input as a sequence of program instructions and tends to build a data structure, a “parse tree,” or an abstract syntax tree.
I used RChilli’s multilingual resume parser, revolutionizing our hiring process.
How to Select A Resume Parser?
Resume parser features to check while selecting a CV/resume parser:
- Parse resumes in 40+ languages for seamless global navigation, ensuring inclusivity and accessibility worldwide.
- Effortlessly process resumes in various formats like DOC, DOCX, PDF, RTF, TXT, ODT, HTM and HTML, DOCM, DOTM, DOT, DOTX, and extracts into a machine-readable output. In real-time, such as XML and JSON format through API, ensuring flexibility and efficiency.
- Simplify data organization by importing resumes in bulk from partner sites or other sources, with the RChilli parser extracting information from multiple resumes simultaneously.
- Integrate seamlessly with existing recruitment software, minimizing disruptions and maximizing productivity.
- Extract data meticulously across 200+ fields, from contact information to qualifications and more, providing detailed insights for informed decision-making.
- Get the parsed data in a document template designed to bring uniformity to the presentation.
- Incorporation of deep learning algorithms for improved data extraction andintelligent identification of resume information for better search results.
- Email inbox integration allows users to parse resumes from single or multiple email inboxes. This feature requires a simple process and a quick one-time setup.
- RChilli resume parser can remove the data you feel can cause bias in your recruiting decision. You can identify the data fields and have the option to enable/disable fields as per your requirement. Once you disable the fields, the parser will not fetch data for the same.
Other features of resume parser:
- Data enrichment via taxonomy.
- 24/7 customer support.
- One plan for all products
- Customization available:
My team didn’t have to spend time skimming through the resume. The required information was retrieved with a single click. For example, our hiring team searched for a ‘Marketing Manager’ with an MBA and two years of experience. The resume parsing technology enabled us to conveniently access the qualification and experience tab of the parser, eliminating the need to go through the entire CV manually.
How Does RChilli Resume Parser Exactly Work
RChilli’s resume parser is a deep learning/AI framework that identifies complete information from resumes and enriches it through its taxonomies. It extracts candidate data from resumes in 140+ data fields through REST API.
The process converts an unstructured form of resume data into a structured format. It is a program that analyses a resume/CV created in any document format, such as doc, docx, html, pdf, rtf, and extracts it into a machine-readable output such as XML, JSON format through API.
You can save time on manual transactions of each job application and CV’s received. RChilli’s friendly 24/7 available customer service makes the user experience all the better.
1. Login or Signup to RChilli MyAccount
2. Move to integration tab and click on Resume Parsing 8.0.0 to parse resumes
3. Upload resume with valid extensions like doc, docx, pdf, txt, etc. and start parsing resumes
4. After parsing resume, you will get the candidate details in the data fields that are further classified in overview, analytics, experience, etc. Click on respective tab to see results.
5. Beautify JSON and download parsing output.
Originally published at https://www.rchilli.com.
