GLOSSARY

CV Parsing

CV parsing automatically extracts information from a CV (contact, experiences, skills, education) to structure it in an ATS. Modern AI reaches >95% accuracy.

IN DEPTH

CV parsing is the automatic process of extracting and structuring information in a CV (PDF, Word, text, image): identity and contacts, professional experiences (companies, positions, dates, responsibilities), skills (hard skills, soft skills), education and degrees, certifications, languages, location. Traditional rule-based parsers reach 60-70% accuracy with many errors on exotic formats. Modern AI parsers (based on LLMs) reach >95% accuracy, understand context, handle all formats and detect non-obvious duplicates. They also enrich profiles via LinkedIn and other sources. Cobalt automatically parses CVs in <10 seconds with simultaneous multi-source enrichment.

Frequently asked questions

Modern AI parsers: >95% accuracy on standard CVs, 90-93% on exotic CVs. Traditional rule-based parsers: 60-70% with many manual corrections. Gap widens on complex formats (visual CVs, tables, 2 columns).

Yes, AI parsers detect non-obvious duplicates (same person with different emails, partially filled CVs, updates). Cobalt offers this automatic detection with intelligent merging to maintain a clean database.

Related terms

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