A free ATS resume checker you can run from anywhere in the world.

Modern applicant tracking systems (such as Workday, Taleo, iCIMS, Greenhouse, and Lever) do not simply count keywords. Enterprise ATS algorithms utilize natural language processing (NLP) and contextual parsing models to evaluate semantic similarity between your resume and the employer's job description.

The initial gate is parseability: can the software extract your contact information, company names, job titles, dates of employment, and skill clusters without character corruption? If your resume uses multi-column tables, graphics, or nested text boxes, parsers frequently scramble the text sequence, leading to an automated low-relevance score.

Once parsed, the ATS compares your experience against the posting's mandatory requirements. It distinguishes between primary technical proficiencies, supporting tools, education minimums, and seniority qualifiers.

Early ATS checkers could be manipulated by hiding white-text keywords in footers or repeating terms in endless skill blocks. Today, such tactics trigger automated red flags or are instantly rejected during human review.

Modern ATS parsers calculate semantic proximity and contextual depth. A keyword that appears embedded within an active accomplishment statement (e.g. 'Architected a distributed payment gateway using Go and Kafka') receives significantly higher algorithmic relevance than a keyword dumped into a passive list of 50 technical tags.

DraftlyCV analyzes your resume section by section, identifying not just which keywords you matched, but which critical competencies are missing from your work experience narrative. It provides specific, ethical phrasing suggestions to incorporate your genuine experience into the required format.

Aim for a match score of 80% to 85%. Chasing a 100% score often results in an unnatural, over-optimized resume that alienates the recruiter once your application clears the automated filter.

Align your job title where legitimate: if the posting seeks an 'Automation QA Engineer' and your internal company title was 'Software Test Associate', using 'Software Test Engineer (Automation QA)' bridges the semantic gap honestly.

Standardize your section titles to universally accepted naming conventions ('Work Experience', 'Education', 'Skills', 'Certifications') to ensure 100% extraction accuracy across all commercial ATS engines.