To keep the product promise of being 100% client-side with nothing uploaded, the ATS Resume Checker uses no AI, LLM, server or network call, and it is not a real applicant-tracking system. It compares your resume to a job description with plain pattern-matching: it tokenizes the job description, drops stopwords and boilerplate, scores 1–3 word keywords by how often they appear, boosts curated hard-skill / tool terms, capitalised terms and words near “required / must have / proficient in”, then checks which of those keywords appear in your resume (case-insensitive and plural-aware) to compute a match rate. It also inspects the resume text for ATS-format red flags. Because it is heuristic and real ATS platforms each parse differently, treat the match rate and missing keywords as a tailoring guide — weave in only keywords that are genuinely true for you, never keyword-stuff or lie, and have a human review the result.

The match rate is a transparent, weighted tally, not an AI judgement. The tool extracts up to about 28 ranked keywords from the job description and gives each an importance weight based on how often it appears, whether it is a hard skill or tool, whether it reads like a job title, whether it is capitalised, and whether it sits near required-context words like “required”, “must have” or “proficient in”. It then checks which keywords your resume contains (case-insensitive, with simple plural / singular tolerance) and computes the match rate as the matched importance divided by the total importance, shown as a percentage. The combined ATS score blends this match rate (about 65%) with the format checklist (about 35%). Because the rules are simple patterns, the number is a guide to how well-tailored your resume is, not a precise prediction of how a specific ATS or recruiter will score it.

Many “ATS scanner” sites require you to upload your resume file or hand over your email before they reveal a match score. AnyTool ATS Resume Checker does neither: you paste your resume text (or import a resume-builder JSON file) and paste the target job description, and the comparison runs right in your browser with plain pattern-matching. Both your resume and the job description never leave the page; nothing is uploaded, logged or stored, and it works offline once cached. You can copy just the missing keywords, or the full report (match rate, matched + missing keywords and the format checklist), to paste into your editor as a tailoring checklist.

The format checklist runs five heuristics on the resume text: whether standard sections are present (contact, summary, experience, education, skills); whether an email and phone appear as plain text rather than only in a header an ATS may miss; whether the length is reasonable; whether dates appear on roles so a parser can build a timeline; and whether there is unusual special-character or symbol noise, which is a proxy for the decorative glyphs, icons or table artefacts that confuse parsers. The tool is honest that, from pasted text alone, it cannot directly detect tables, multi-column layouts, text boxes, images or header/footer content — the very things that most often break ATS parsing — so it advises rebuilding as a single-column, text-only resume with standard headings and simple bullets.