CV Parsing

CV parsing: automatically read CVs and speed up recruiting

CV parsing refers to the automated analysis and structuring of CVs in application processes. The technology recognises relevant data such as name, professional experience, qualifications or skills – and transfers this directly to the applicant management system.

What is CV parsing and how does it work?

When parsing a CV, an algorithm analyses the document and extracts information in a structured form. This eliminates the need for manual entry into the recruitment system. Modern tools even recognise complex formatting and different document types.

Advantages of automatic CV screening

CV screening with parsing not only saves time, but also increases data quality. Errors in the transfer of applicant data are minimised, pre-selection is accelerated and talent can be contacted more quickly – a clear advantage in the competition for skilled workers.

Where is CV parsing used in recruiting?

Parsing technology is typically integrated into applicant management systems. It is used immediately after the documents are uploaded – e.g. via a career portal or a mobile application.

CV parsing: relevant data fields at a glance

The most important elements that a parser recognises are: first and last name, contact details, professional experience (including periods and positions), education, languages, skills, software knowledge, certificates. Depending on the software, free text entries can also be captured and evaluated.

FAQs: Frequently asked questions about CV parsing

1. Is CV parsing GDPR-compliant?

Yes – provided that the processing of personal data is transparent. Applicants must be informed about the type and purpose of data use. It must also be ensured that all personal information is encrypted and stored in accordance with GDPR requirements.
 
2. Which file formats can a CV parser read?

Modern parsing tools usually support common file formats such as PDF, DOCX or TXT. Sophisticated systems are also able to recognise and evaluate scanned documents using OCR (Optical Character Recognition).
 
3. How accurate is data recognition in CV parsing?

The accuracy depends on the technology used and the quality of the CV. High-quality CV parsers achieve a recognition rate of up to 95% in practice. Clearly structured and well-formatted CVs further improve the result.
 
CV parsing is an efficient solution for processing application data quickly, accurately and in a structured manner. For recruiters, this means more focus on people, less administrative effort – while increasing the speed of the process.