CV parsing

We strive to provide the best possible experience for candidates and talent teams. Our CV parsing technology extracts important information from applicants’ CVs and converts it into structured data, making the application process more efficient.

What comes out of the box

Say goodbye to manual data entry, and hello to faster and more accurate recruitment. We use natural language processing (NLP) algorithms to identify and extract key information from CVs like names, contact information, work history, education, skills, and more. Extracted data is then organized into predefined categories, giving HR departments a clear and organized view of each applicant’s information.

We save applicant’s time by eliminating the need for manual data entry. We also streamline the process for HR departments. With fewer errors and faster processing times, HR teams can focus on more strategic tasks, such as identifying top candidates and conducting interviews.

This feature also reduces the risk of unconscious bias. The automated process ensures that all applicants are treated equally and lessens the amount of subjective interpretation.

Tip: Applying for a job is one of the first and most important interactions a candidate will have with your Employer Brand. It’s important to make it the best experience possible.

Looking for a little more guidance?

We have a dedicated team of specialists who can help you get your ATS up and running, and assist you with:
  • Transition from your old platform
  • Employer branding
  • Data transfers
  • Workflow setups
  • Vacancy templates
  • Ensuring your job postings get see by the right people

Getting Started

Setting up engage|ats is simple and quick, we can even help you:

Transfer candidate data from your old ATS


Configure your process workflows to meet your needs


Automate your processes

Integrate with your other HR platforms

Display jobs on your website through our API

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