CV Parsing — Definition and How It Differs From Resume Parsing   [ResumeParser.pro](https://resumeparser.pro)

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3. CV Parsing

 CV Parsing
==========

Updated 9 August 2026 · by the SharpAPI team

  **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](https://resumeparser.pro/guides/gdpr-resume-parsing). 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](https://resumeparser.pro/cv-parsing-api) covers Europass, multilingual and compliance specifics · [resume parsing](https://resumeparser.pro/glossary/resume-parsing) defines the base technology.

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-----------------------------

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 Further reading
---------------

- [Resume Parsing — Definition, Process and JSON Example](https://resumeparser.pro/glossary/resume-parsing) Resume parsing, defined: automated extraction of structured candidate data from resume files. Includes process outline and a sample JSON output.
- [CV Parsing API — One JSON Schema for CVs in 80+ Languages](https://resumeparser.pro/cv-parsing-api) CV parsing API for European and global hiring: mixed-language CVs, Europass layouts, scanned documents. One deterministic JSON schema, GDPR-compliant.
- [What Is Resume Parsing? The 2026 Guide for HR Tech Builders](https://resumeparser.pro/what-is-resume-parsing) Resume parsing converts CV files into structured data an ATS can search. How it works, what it extracts, accuracy limits and where AI changed the game.

    ResumeParser.pro — a free resource on resume parsing and candidate matching, written and maintained by the team behind [SharpAPI](https://sharpapi.com/?utm_source=resumeparser.pro&utm_medium=referral&utm_campaign=glossary-cv-parsing&utm_content=footer). The APIs documented here: [Resume Parsing API](https://sharpapi.com/en/resume-parsing-api?utm_source=resumeparser.pro&utm_medium=referral&utm_campaign=glossary-cv-parsing&utm_content=footer) and [Resume Job Match Score API](https://sharpapi.com/en/resume-job-match-score-api?utm_source=resumeparser.pro&utm_medium=referral&utm_campaign=glossary-cv-parsing&utm_content=footer). SDKs on [GitHub](https://github.com/sharpapi).

 On this site: [What is resume parsing](https://resumeparser.pro/what-is-resume-parsing)·[How parsing works](https://resumeparser.pro/how-does-resume-parsing-work)·[Extracted fields](https://resumeparser.pro/what-fields-does-a-resume-parser-extract)·[Resume to JSON](https://resumeparser.pro/resume-to-json)·[Best parser APIs](https://resumeparser.pro/guides/best-resume-parser-apis)·[All guides](https://resumeparser.pro/guides)·[Glossary](https://resumeparser.pro/glossary)·[About](https://resumeparser.pro/about)

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