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From CV to complete candidate profile

A CV contains valuable information, but it only becomes useful when Carerix can work with it. Auto CV Parsing processes CVs automatically when a new candidate, online application or match is created. Carerix then fills in missing fields without overwriting existing information.

Better matches through better data

Missing fields can cause candidates to fall outside your search results. For example, if you search by location, education or work experience and that data is missing, you may miss a relevant candidate. That is why Auto CV Parsing automatically completes important profile data.

  • Basic details: complete missing contact and profile information from the CV
  • Work experience: extract previous roles and employers from the CV
  • Education: add education details to the candidate profile
  • Existing data stays intact: Carerix enriches profiles without overwriting existing information

Less manual work in your recruitment process

Manually processing CVs takes time and is easy to postpone. As a result, profiles contain empty fields, follow-up takes longer and search results become less reliable. With Auto CV Parsing, Carerix processes CVs automatically, helping recruiters search, match and follow up faster.

Useful for automated workflows

Good data not only improves search and matching, but also supports automation. Think of flows where candidates receive automatic follow-up or additional questions. When contact details are entered correctly, these next steps run faster and more reliably.

Supports common files and languages

Auto CV Parsing supports common Word and PDF files and works in 29 languages. You can use it for new candidates, online applications, new matches or specific match stages. As a result, it fits easily into your existing workflow.

See our solution work for you?

Request a demo and see how Carerix can work for you. Based on your workflow and our wide experiences we will give you a demo in person or online. We will also take you through the technological developments for recruitment.