Resume Parsing — Definition, Process and JSON Example   [ResumeParser.pro](https://resumeparser.pro)

 - [Parsing API](https://resumeparser.pro/resume-parsing-api)
- [Match Score API](https://resumeparser.pro/resume-job-match-score-api)
- [Sample JSON](https://resumeparser.pro/resume-to-json)
- [Guides](https://resumeparser.pro/guides)
- [Glossary](https://resumeparser.pro/glossary)
- [Get API key](https://sharpapi.com/en/resume-parsing-api?utm_source=resumeparser.pro&utm_medium=referral&utm_campaign=glossary-resume-parsing&utm_content=nav)

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3. Resume Parsing

 Resume Parsing
==============

Updated 9 August 2026 · by the SharpAPI team

  **Resume parsing** is the automated extraction of structured candidate data from resume files. A parser converts a PDF, Word document or image into named fields — contact details, work history, education, skills — that software can store, search and rank.

In one paragraph
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 Parsing sits at the front of every recruiting pipeline: nothing downstream — search, matching, screening, analytics — can operate on an unparsed document. Modern parsers use large language models over a five-stage pipeline (ingestion, OCR, layout reconstruction, extraction, normalization) and return a deterministic schema of 50+ fields regardless of the document's layout or language.

Example
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 A candidate uploads resume.pdf; the parser returns {"candidate\_name": "Linda Harris", "positions": \[{"position\_name": "Test Engineer", "skills": \["Agile", …\]}\], …} — a real payload is explorable at [resume to JSON](https://resumeparser.pro/resume-to-json).

Go deeper
---------

 The full treatment: [what is resume parsing](https://resumeparser.pro/what-is-resume-parsing) · [how it works, stage by stage](https://resumeparser.pro/how-does-resume-parsing-work) · the [SharpAPI implementation](https://sharpapi.com/en/resume-parsing-api?utm_source=resumeparser.pro&utm_medium=referral&utm_campaign=glossary-resume-parsing&utm_content=glossary-inline).

 Parse your first resume today
-----------------------------

Send a PDF, DOCX or photo CV to the SharpAPI Resume Parsing API and get 50+ structured JSON fields back — no models to train, no OCR vendor to add.

 [Start parsing free](https://sharpapi.com/en/resume-parsing-api?utm_source=resumeparser.pro&utm_medium=referral&utm_campaign=glossary-resume-parsing&utm_content=article-end) [Endpoint docs](https://sharpapi.com/documentation?utm_source=resumeparser.pro&utm_medium=referral&utm_campaign=glossary-resume-parsing&utm_content=article-end-docs) 

14-day trial · 100,000 words included · No credit card · 30-day money-back guarantee

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

- [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.
- [CV Parsing — Definition and How It Differs From Resume Parsing](https://resumeparser.pro/glossary/cv-parsing) CV parsing, defined: the same extraction technology as resume parsing, applied to CV conventions — longer documents, photos, Europass layouts, more languages.
- [Resume Parsing API — PDF, DOCX &amp; Photo CVs to JSON (80+ Langs)](https://resumeparser.pro/resume-parsing-api) AI resume parsing API: send a PDF, DOCX, RTF, TXT or photo CV, get back 50+ structured JSON fields. 80+ languages, OCR included, async REST, from $50/mo.

    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-resume-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-resume-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-resume-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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