How the ATS resume scan works
Before a recruiter ever sees your resume, an Applicant Tracking System parses it into a structured database record: name, contact info, work history, skills, education. Around nine in ten large employers filter candidates this way. When the parser hits a table, a two-column layout, a skills chart rendered as an image, or contact details tucked into a document header, it either scrambles the content or drops it entirely. You get filtered out on formatting, not qualifications.
This scanner runs five checks on your resume text, entirely in your browser:
- Formatting. It looks for the tab patterns and aligned gaps that betray tables and columns, repeated lines that indicate running headers, page-number artifacts, and image placeholders.
- Keyword density. It surfaces your most frequent terms so you can confirm they match the language of the jobs you want, and flags both low variety and keyword stuffing.
- Length. It benchmarks your word count against what hiring managers expect at your experience level, from a tight single page for entry-level candidates to two full pages for senior roles.
- Section completeness. It verifies the five sections every parser maps content by, using the conventional heading names ATS software expects.
- File format. If you tried to upload a PDF, .docx, or .pages file, it warns you about the parsing risks each format carries.
Each issue found deducts from a starting score of 100, weighted by how likely it is to get your resume misread. A score of 85 or higher means you are in good shape. Below that, work through the fixes in priority order, rescan, and watch the score climb. When the structure is clean, the next step is content: matching your bullets to specific job descriptions, which is exactly what ShouldApply does with a full fit score against real postings.