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Applicant tracking systems rarely auto-reject — but they do index your resume into searchable fields, and a two-column layout or a missing section heading can leave you out of the search entirely. Check parsing, structure, evidence, and job-description keyword match, without an account.
ATS Readiness
74/ 100
Job Match
61/ 100
The essential facts about Applicant Tracking Systems and how to make your resume pass automated screening.
An Applicant Tracking System (ATS) is recruitment management software used by mid-market and enterprise employers to collect, parse, categorize, and rank job applications before human review.
The software strips formatting to extract plain text, maps work history into database rows, and indexes keywords from the job description to calculate search relevance for hiring managers.
Use a clean single-column structure, standard section titles (Experience, Education, Skills), quantify achievements with concrete numbers, and include relevant keywords from the job requirements.
Applicant tracking systems index your resume into searchable fields rather than auto-rejecting it. These four failures leave those fields empty or wrong, which is what actually keeps a qualified application out of the results.
When a PDF puts two columns, a sidebar, or a floating text box on the same lines, extraction reads straight across the page. Your job titles, employers, and dates come out interleaved with whatever sat beside them.
On an uploaded PDF we measure the page geometry directly and report the share of lines split across a column gutter — the layout itself, not a guess from the text.
Parsers map work history from headings. A creative label like 'What I Love', or a resume where 'experience' only ever appears inside a sentence, leaves those fields empty in the recruiter's database.
We match Experience, Education, and Skills headings on their own line only, so the check cannot be satisfied by the word turning up in prose.
Listing duties ('Responsible for customer support tickets') instead of measurable outcomes makes you invisible to recruiters searching for proven performers.
We score the share of your bullets that carry a number and the share that open with an action verb — density across the resume, not a single occurrence somewhere in it.
Recruiters filter candidate databases by specific terms. Miss a requirement the posting names and you can drop out of the search — but a keyword score that also counts the benefits section tells you nothing useful.
We score requirements above nice-to-haves, skip about-us and benefits copy, read 'Go or Java' as one choice, and credit skills your resume evidences under another name.
Every check runs against the text you provide. There are no fake placeholder scores. The exact weights stay private to prevent gaming, but the evaluation dimensions are 100% transparent.
On an uploaded PDF we read the page geometry, not just the text: whether lines split across a column gutter, and whether content sits inside ruled table grids. Both scramble the order your text comes out in.
Email, phone, and a professional link, plus Experience, Education, and Skills headings that parsers map into searchable profile fields. Headings must be real headings — the word appearing mid-sentence does not count.
Quantified outcomes and action verbs, scored by the share of your bullets that carry them rather than by whether they appear at all — a single strong verb in the document is not the same as a resume written in them.
Keyword matching against a pasted job description. The posting is split into sections so about-us and benefits copy is not scored, requirements outweigh nice-to-haves, and skills outweigh ordinary English.
Every check in our engine maps directly to one of these 4 stages in standard recruitment software. Understanding the pipeline makes fixing issues straightforward.
A PDF is a series of vector drawing coordinates, not plain text. Extraction algorithms rebuild reading order, which is why multi-column layouts, graphics, and text boxes get scrambled.
Candidate name, phone, email, job titles, companies, and employment dates are parsed into columns. Anything unmapped remains invisible in recruiter dashboards.
Hiring managers filter candidates by required skills, titles, and exact keyword matches. If a skill was placed in an image or unusual phrase, it will not appear in the index.
Once you pass the initial search filter, the human recruiter reviews your original PDF format. Both the parsed text stream and the visual PDF must hold up cleanly.
Readiness measures format and parsing stability. Job match compares your resume directly against a job posting's specific requirements. Paste a job description to get tailored keyword scores.
No commercial ATS vendor publishes a single universal score formula. Online tools claiming to provide an official third-party score are using their own estimations. We are fully transparent about the deterministic rules we check.
The free scan runs entirely in memory on our servers and is discarded when the response is sent. We do not retain your file or its text, and we do not train models on it. The optional AI analysis is the one exception: that step sends your resume text to a model provider to generate the write-up, so it does not stay on our infrastructure.
Anyone can check their resume score and see which area drags it down. The rule-by-rule reasoning takes a free account, and AI explanations are included on paid plans.
1 scan every 48 hours
2 scans every 24 hours
300 scans per billing cycle
Common questions about how resume parsing works, scoring methods, keyword match calculations, and privacy boundaries.
Disclaimer: VeriWorkly ATS Checker evaluates documents against heuristic parsing standards, weighted keyword matching, and structural guidelines. It does not simulate or guarantee compatibility with any specific proprietary employer software, nor does it guarantee interviews or job offers. All third-party product and company names mentioned are trademarks or registered trademarks of their respective owners. Their mention does not imply endorsement, affiliation, or sponsorship.
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