A free ATS resume checker with no sign-up. Upload a PDF or Word file, paste the job description, and see what an applicant tracking system actually reads from your resume - your ATS score out of 100, the keywords you are missing, and a prioritised list of what to fix first.
Works for Workday, Taleo, SuccessFactors, Darwinbox, Keka and Naukri parsing. Runs entirely in your browser - your file is never uploaded.
Almost every ATS resume checker online reports a number, and almost none of them explain that no employer actually stores that number. There is no universal passing mark: Workday, Taleo and Darwinbox are each configured per company, and most rank you against the other people who applied to that one role rather than against a fixed cut-off. What the score is genuinely useful for is telling you which of six things is costing you — parsing, keywords, achievements, structure, style, or contact details. Above 80 usually means you are competing on content. Between 60 and 79, keywords or formatting are leaking. Below 60, the parser is struggling to read the file at all, and rewriting sentences will not help until the layout is fixed.
Six checks run on every analysis, and they are weighted differently depending on whether you paste a job description:
This matters less than most articles suggest, but it is worth knowing what you are writing for. Large IT services firms and multinationals lean on Workday Recruiting, SAP SuccessFactors and Oracle Taleo. Darwinbox has a heavy footprint across Indian banking, FMCG and IT. Growing companies tend toward Keka, Zoho Recruit, Freshteam or Zimyo. Apply through a Naukri profile and your resume passes through a parsing and ranking layer before a recruiter ever searches. The practical takeaway is that the rules converge: every one of these needs to extract readable text and map it to fields. A single-column resume with standard headings works across all of them, and a two-column template with a photo and a table struggles everywhere.
In roughly this order of damage:
A fresher resume rarely fails on parsing. It fails on evidence — projects written as participation rather than outcome, a skills line that lists what you studied instead of what you can defend in an interview. Fix the impact score first and the rest follows. Experienced resumes fail the other way round: the content is strong and the layout is fighting it, usually a two-column template chosen for looks, or dates written three different ways across one page so total experience cannot be calculated. If you are a fresher, our resume format for freshers walks through the section order this checker expects to find.
Most resume checkers ask you to create an account before showing a score, because the analysis runs on their servers and costs them money per scan. This one does not. The PDF or Word file you pick is parsed locally in JavaScript and every check runs on your own device, so there is no upload, no storage, and nothing to meter — which is why there is no sign-up wall and no scan limit. Close the tab and the file is gone. An account exists, but it is for saving resumes and cover letters, not for unlocking this.
Start with structure, not words. Move to a single-column layout with standard headings — this alone lifts most low scores, because it repairs parsing rather than content. Then mirror the posting's vocabulary, using the employer's exact terms for skills you actually have. Then put a number on every bullet you can. Re-checking after the structural fix is usually the biggest single jump you will see, and it takes minutes rather than a rewrite. For the underlying rules, the US Department of Labor's recruitment guidance is a useful primer on how structured hiring pipelines evaluate applicants.
An ATS resume checker simulates how applicant tracking software reads your resume. It pulls the text out of your file the way a parser would, then reports whether your sections were understood, which keywords the role expects that you are missing, and which formatting choices break the scan. It is a rehearsal for the automated step that happens before any recruiter opens your application.
It runs the same parsing step an employer's system runs. The checker extracts your text, tries to map it into fields — name, contact, job titles, dates, employers, education — and flags anything it could not place. It then compares your wording against the job description you paste in, and scores structure, achievements, and writing style separately so you can see which part is actually costing you.
Above 80 is strong, 60 to 79 usually means keywords or formatting need work, and below 60 suggests the parser is struggling to read the file at all. There is no universal passing mark — employers configure their systems differently and most rank you against the other applicants for that specific role. Treat the number as a diagnostic, not a pass-fail gate.
No. Very few systems reject outright on a score. What actually happens is quieter: a resume that parses badly ranks low in the recruiter's search results, so it is never opened. That is why the fix list here is ordered by what a parser fails on first — structure and missing sections — rather than by cosmetic issues.
Large IT services companies and multinationals typically run Workday Recruiting, SAP SuccessFactors, or Oracle Taleo. Darwinbox is common across Indian banking, FMCG, and IT. Mid-market and smaller companies often use Keka, Zoho Recruit, Freshteam, or Zimyo, and applying through Naukri puts your resume through a parsing layer too. The underlying rules are the same everywhere: a single-column resume with standard headings works across all of them.
It is free, unlimited, and needs no login. The analysis runs in your browser, so there is nothing for us to meter. An account is optional and only useful if you want to save resumes, cover letters, and past versions in a dashboard.
Paste the posting into the job description box before you analyze. The checker pulls out the skills and phrases the employer repeats, then shows which appear in your resume and which are missing, with a match percentage. Add back only the terms you genuinely have — recruiters see the raw extracted text, so keyword stuffing and white text read as manipulation.
Yes, as long as the PDF contains real text. A PDF exported from Word or Google Docs parses fine. A scanned or photographed resume contains no text to extract, so the parser returns nothing — and neither will this checker, which is a useful warning in itself. If the analyzer cannot read your file, an employer's system probably cannot either.
Your file never leaves your device. Parsing and scoring both run locally in JavaScript, so nothing is uploaded, stored on a server, or seen by anyone else. Closing the tab discards it entirely.
PDF, DOCX, and plain text, up to 10 MB. Legacy .doc files cannot be read in a browser — save as .docx or PDF first. You can also paste your resume text directly if you would rather not upload a file at all.