Acquiring new employees to fulfill open positions within the company involves several phases, which commonly starts by resume screening. Recruiters need to carefully review applicants’ professional background to identify the most qualified candidates for the role. However, recruiters often receive an extensive amount of resumes, and it can be time-consuming when sorting through them all manually.
OCR offers automated data extraction to enhance the efficiency of candidate resume screening. Integrating OCR in the recruitment process can significantly reduce time spent. OCR will greatly assist in parsing, extracting, and converting PDF resumes into searchable data that recruiters can easily navigate.
What is OCR?
When it comes to document-to-text extraction, OCR is the perfect solution. OCR (Optical Character Recognition) is a cutting-edge technology that can swiftly capture text inside any documents or images. This mechanical process yields structured datasets in mere seconds, enabling quicker task completion. The effectiveness of OCR has led to its extensive use across various work functions, including to improve resume screening and filtering.
How Does OCR Benefit Resume Screening?
- Improve data accuracy: Reduce manual intervention that potentially causes human error by automating the process using OCR.
- Cost-effective workflow: Implementing OCR can simplify the process and significantly cut associated costs.
- Expedite the process: Avoid the slowdowns of manual processes, OCR performs the document extraction at high speed.
How Is OCR Applied in Resume Screening?
1. Efficient Resume Sorting
OCR converts PDF or image-based resumes into more accessible data, improving their searchability. The results allow you to easily manage the wealth of information obtained and process it further.
2. Integration with Other Systems
OCR-ATS integration helps you to locate specific qualifications, skills, or job histories within a large volume of resumes more quickly. This can help you find the right talent that fits the criteria.
3. Faster Data Entry
Eliminate the need to enter candidate information, which usually takes hours manually. OCR automatically extracts data from resumes, ensuring that information is accurately and swiftly inputted into the system.
4. Better Candidate Experience
Accelerate the screening process 10x faster and reduce the wait time for candidates to receive feedback on their applications. This quick response can also positively influence candidates’ perception of your company as a prospective workplace.
5. Improve Human Resources Team Productivity
Automating processes is the best way to optimize efficiency and eliminate bottlenecks. OCR frees you from manual resume processing, giving you extra time to spend on more important tasks.
6. Customizable Data Extraction
Do you need to tailor the data extraction specifically? OCR software like Fintelite allows you to customize which candidate’s information to capture to derive output data that meets your requirements.
Try It Firsthand: Using OCR for Efficient Resume Parsing
Unlock OCR’s potential to speed up your resume screening with Fintelite. OCR by Fintelite easily adapts to resumes with any layout templates, so you can effortlessly extract all the essential data from files. Converting resumes into machine-readable text allows for quick searches of specific skill keywords for candidate matching. Not only benefiting ongoing screening, but OCR can also help you generate accurate record-keeping of candidates’ information to be your accessible talent database for future needs.
See how Fintelite OCR effortlessly extracts data from resumes by signing up for our free trial, no strings attached. Want to learn more about how our OCR can streamline your recruitment process? Book a free consultation with us.
