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Resume Parsing

Resume parsing converts resume text into structured fields such as employers, titles, dates, education, skills, and contact information.

2 min readUpdated August 19, 2026
Resume parsing
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Resume parsing is the automated extraction of information from a resume into structured fields. A parser may identify a candidate's name, contact information, employers, job titles, dates, education, and skills so the information can be stored or searched.

Resume document converted into structured candidate fields for contact information, experience, education, and skills.

A parser can extract text without deciding whether the candidate is qualified; recruiters, hiring managers, rules, searches, or other systems may use the resulting record later. Different applicant tracking systems and configurations behave differently; formatting affects the result. A file may look correct to a person but produce a confused reading order when important details sit in columns, text boxes, graphics, headers, or footers; a scanned image may contain no accessible text unless optical character recognition is applied; selectable text, familiar headings, consistent dates, and a simple reading order reduce avoidable extraction problems without guaranteeing identical behavior across systems.

For example, a parser may extract a date correctly but attach it to the wrong employer when a two-column layout obscures reading order.

Related concept: What Is An Applicant Tracking System

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