Free ATS Resume Checker and Parser Preview — PDF & DOCX

What the checker evaluates.

The tool runs up to 23 checks, weighted by how likely each issue is to break parsing — a two-column layout costs far more score than a missing LinkedIn link. Every resume gets the core text checks: contact information (email, phone, and whether it sits near the top), standard section headings (experience, education, skills), action verbs, quantified achievements, length, outdated phrases, date presence plus date format consistency, month/year completeness and reverse-chronological order, special bullet characters, professional links, and location.

For PDFs, the checker also inspects the actual page geometry: a vertical-gutter scan detects true two-column layouts (the most common cause of scrambled ATS text), contact details found only in the top or bottom margin band are flagged as probable header/footer content, painted-image operators count embedded images, and embedded font names are checked for icon or decorative faces that extract as gibberish. For DOCX files, the source XML is inspected directly for layout tables, text boxes, embedded images, and contact details living in header/footer parts — the things converters silently flatten or drop.

Results are ordered fix-first, then review, then passing, with a one-click “Copy fix list” to take into your editor. If you upload a PDF, text is extracted in your browser using PDF.js (Mozilla’s open-source parser, the same engine used in Firefox); DOCX files are read with Mammoth. The extracted text appears in an editable field — “what the ATS sees” — so you can review and correct any extraction errors before running the check. A full profile map shows detected contact details, links, and every extracted line under its resume section. It keeps the source wording and order visible, so you can spot missing or misplaced experience, education, projects, and skills.

Different ATSs parse differently.

Workday re-flows your file in raw reading order, so a single-column layout is effectively non-negotiable and tables scramble. iCIMS flattens everything to plain text for recruiter search — minimal formatting survives, so keywords matter more than design. Taleo (Oracle) runs one of the oldest parsers and often handles a plain .docx more reliably than a designed PDF. Greenhouse and Lever are more forgiving: they show humans your original file, so the parse mainly powers search rather than replacing your resume.

Not sure which system a posting uses? Paste the job URL into our ATS detector — then pick that ATS in the tool above for tailored tips.

Common questions.

Is this ATS checker really free? Yes — completely free, with no account and no paywall. It is also private by construction: the file is parsed by JavaScript running in your browser and never uploaded to a server, so there is nothing to gate or sell.

Does an ATS auto-reject resumes? Mostly no — that is a myth. The major systems (Workday, Greenhouse, Lever, iCIMS) rank and index resumes for recruiter search rather than auto-rejecting them; humans still make the call. The real risks are different: knockout questions can screen you out, and parsing failures can leave your record empty or scrambled so you never surface in a recruiter’s search. That is what this tool checks for.

What is a good ATS readability score? 75 or above means the file looks parser-friendly. 50–74 usually means one or two structural fixes — often a stray two-column section or missing headings. Below 50, fix the red items first: they are the ones that break parsing. Remember the score measures machine-readability, not your qualifications.

Why do different ATS checkers give different scores? There is no industry standard. Some tools score keyword overlap with a job description, some estimate visual parsing risk, and some mostly upsell you. This checker measures one thing — how cleanly a machine can read your file — and shows you every check it ran so you can judge for yourself.

What this checks, and what to check next.

This checker reads your file the way a text-and-structure parser does: which text comes out, in what order, and which sections are found. It does not judge your qualifications or visual design, and keyword fit against a specific job description is the keyword matcher's job. Unusual PDF internals and some DOCX features (SmartArt, embedded objects) can hide text from any extractor, so read the extracted text alongside the score.

Then test your final file in the employer's own application form. Every ATS runs its own parser, and that form is the one that counts.

Your resume is completely private.

Your resume is never uploaded to any server. When you upload a PDF or DOCX, the file is read into your browser’s memory and parsed by JavaScript running on this page. The extracted text and the analysis happen entirely on your device. No file, no text, and no score are transmitted to Jobsistant or any third party.

PDF parsing uses PDF.js and DOCX parsing uses Mammoth — both open-source libraries loaded once when you upload a file. The worker scripts run locally in your browser. When you close the tab, everything is gone.

Analytics may record that the tool was used and the score band, subject to your consent, but never the file name, pasted text, extracted text, or individual check results.

Want to check whether your resume matches a specific job description? Try the resume keyword matcher.