Tagged “ats”
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Where One Job Entry Ends and the Next Begins
Parsers have to cut your work history into separate records. What tells them where the cut goes, and what happens when the cut lands wrong.
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File Formats: PDF, DOCX, and Plain Text
What each resume file format actually stores, how that affects text extraction, and which one to send when the application form doesn't say.
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Job Titles, Dates, and the Fields Parsers Look For
How software identifies your employers, titles, and date ranges — and the small formatting choices that make a job land in the wrong place.
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What a Resume Parser Actually Sees
A step-by-step walk through how software turns your resume file into structured fields — extraction, reading order, sectioning, and field matching.
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Why Your Two-Column Resume Breaks
Columns, tables, and text boxes look tidy and parse badly. Here's exactly what happens to the text inside them — and what to use instead.
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How Systems Know You Applied Before
Candidate records are deduplicated by email and name. What that means when you reapply, update your resume, or use a second address.
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The Screening Questions That Come Before Parsing
Some application decisions never touch your resume. How structured form questions work as knockouts, and why they deserve more care than your file.
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What a Resume Match Score Measures
Match percentages are usually a coverage ratio between two term lists. How that number is built, what it cannot see, and why chasing it backfires.
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How Recruiters Search the Parsed Record
Your resume becomes a searchable database row. What a boolean query over that row matches, and why the search happens weeks after you applied.
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Location, Remote, and the Fields That Filter
How a parser decides where you live, why an omitted city creates an empty field, and why remote eligibility is answered on the form, not the resume.
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How a Degree Requirement Gets Checked
Education parsing turns your schooling into fields: institution, credential, field of study, dates. How a degree filter reads them, and what breaks.
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How Your Job Title Gets Normalised
After a parser finds your job title it often maps it to a standard title in a taxonomy. What that mapping does to unusual titles, and how to help it.
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How Software Counts Your Years of Experience
Years of experience is usually calculated from your parsed date ranges, not read from a sentence. What that arithmetic gets wrong, and how to fix it.
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Keyword Density Is Not What Parsers Measure
Repeating a term does not raise a score in a presence-based match. Where the density myth came from and what to do with the space instead.
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Acronyms, Synonyms, and Spelling Variants
Why a parser may not know that K8s means Kubernetes, and the honest way to cover both forms of a term without stuffing your resume.
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How Skills Extraction Works
How software finds skills on your resume: matching text against a vocabulary rather than understanding it, and what that mechanically rewards.