Drop your resume

Four things matter most: tailor your resume to each job's keywords, use a single-column layout with standard section headings, submit a text-based PDF (not scanned), and score above 80 on ResumeLens before applying. Modern ATS systems like Workday and Greenhouse use semantic matching in addition to keyword frequency — context matters, not just density.

ResumeLens is calibrated against Workday (used by ~39% of the Fortune 500), Greenhouse (mid-market and growth-stage companies), Lever, Ashby, iCIMS, SmartRecruiters, Workable, SuccessFactors, and Oracle Taleo. Each parses resumes slightly differently, which is why ResumeLens gives you a scoring portfolio — not a single number that masks system-to-system variability.

Three top reasons: missing keywords the job description emphasizes but your resume doesn't include; formatting issues — multi-column layouts, tables, graphics, or non-standard headings that break parsing; and job-title mismatch — the ATS looks for the exact title from the JD in your resume. ResumeLens flags all three in real time before you apply.

The often-cited “75%” statistic has no verified source and is likely exaggerated. What's true: most resumes get deprioritized by ATS ranking (not outright rejected) due to weak keyword matching or formatting issues that hurt parsing. The result is the same — recruiters never see them. ResumeLens shows exactly where you rank against a specific JD before you apply.

Six mistakes silently kill parsing: multi-column layouts (ATS reads left-to-right and misses right-column content), tables (often skipped entirely), graphics or icons (unreadable), text in headers or footers (frequently ignored), non-standard headings like “My Journey” instead of “Work Experience”, and image-based PDFs (unparseable). Stick to single-column, standard headings, and text-based files.

Jobscan analyzes keyword gaps between your resume and a JD — you fix them manually. Resume Worded scores resume quality with feedback but doesn't tailor to specific jobs. ResumeLens does both: real-time ATS scoring across multiple systems, plus Tap AI suggestions you can accept with one click — integrated with Resume Builder and Resume Optimizer.

Each ATS parses resumes differently. Workday emphasizes structured fields and skills matching against role requirements. Greenhouse weights job-title alignment heavily. Lever prioritizes recency and role progression. ResumeLens tests your resume across all three (and 7 other systems), showing which one your resume performs best on — and which need adjustments before applying.

ATS scoring predicts whether an automated system will filter your resume before a human sees it. A resume review evaluates quality for a human recruiter. ResumeLens does the ATS side — Resume Builder handles the human-quality improvements. Most tools do one or the other; TalentTapped does both, integrated.

Yes — ResumeLens is a free ATS resume checker. Upload your resume, paste a job description, and get an ATS score out of 100 with keyword gaps and section-by-section feedback in under 60 seconds. No credit card required.

An ATS resume checker is a tool that scans your resume the way an Applicant Tracking System does — parsing your sections, extracting skills and experience, and scoring how well you match a job description. Since most large employers filter resumes through an ATS before a recruiter sees them, a checker shows you what the software sees and what to fix before you apply. (In the UK this is often called a CV checker.)

An ATS checker works in three steps: it parses your resume file into structured sections, extracts your skills, titles, and dates, then scores the result against a job description for keyword match and formatting compatibility. ResumeLens runs this against patterns from real systems like Workday, Greenhouse, Lever, Taleo, and iCIMS — the same ATS platforms used across 20+ systems on our Job Platform.

No — ChatGPT can estimate resume quality but cannot score your resume against real ATS parsers, and its number changes every time you ask. An ATS checker like ResumeLens scores against actual parser behavior (Workday, Greenhouse, Lever) and returns a consistent, comparable score. ChatGPT is useful for rewording bullets; it is not an ATS scoring tool.