Definition
Resume parsing means reading a resume (PDF, Word, text) and extracting structured fields: contact details, positions held with dates, skills, education, languages. Early tools relied on rules and keywords; recent ones use language models, which cope better with varied layouts and bilingual resumes.
Why it matters
Parsing removes manual data entry and makes a candidate database searchable. It is the prerequisite for candidate matching: you can only compare a profile with a job if the profile is structured.
It has limits, though. A multi-column layout, an unusual job title or a synonym can be misread. Good practice is to keep the original resume accessible and to check the fields when a decision depends on them. For an overview of AI in recruiting, read our guide.
Concrete example
A bilingual resume lists 'Gestionnaire de projet' for one job and 'Project Manager' for another. Good parsing recognizes the same role, computes the total duration and extracts the skills mentioned in each position, so half of the candidate's history does not vanish from search results. Always keep a way to open the original file, since parsed fields can still miss details.