CV Parsing

CV parsing is the same extraction technology as resume parsing, applied to curriculum vitae conventions: longer documents, photos and personal-data sections, Europass layouts, academic publication lists and multilingual content.

In one paragraph

The distinction is cultural, not technical. Resumes, one to two pages and achievement-focused, dominate North America; CVs dominate the UK, EU, India and academia, running longer and carrying data (birth dates, nationality, photos) that raises specific GDPR handling questions. A parser built only on US resumes underperforms on CVs; a good one normalizes both into one schema, including degree systems that do not map one-to-one across countries.

Example

A German Lebenslauf and a US resume both return education_qualifications[].degree_type: "Master's Degree or equivalent" — comparable records from incomparable documents.

Go deeper

The CV Parsing API page covers Europass, multilingual and compliance specifics · resume parsing defines the base technology.