thinQbeyond™ · ApplySmart™

See exactly what a resume parser reads from your file.

Not a score. Nobody can tell you your “ATS score” — the numbers other tools show you are their own math dressed up as an employer’s verdict. What we can show you is the text a parser actually pulls out of your document, what it could identify, and what it silently dropped.

Your resume never leaves this browser. Nothing is uploaded.

Drop your resume here

PDF, Word, HTML, RTF or plain text. It is read in this page — there is no upload, no account, and nothing is stored anywhere.

or paste the text instead — works without loading anything

ApplySmart™ checks how your document is built — the part that is measurable. It cannot judge whether your experience fits a particular job, and what it produces is a starting point you will edit, not a resume to submit as it comes out.

What we found

Read this before you use any of it

This is a review, not a finished resume. Everything below is a recommendation. Some of it is measured fact about your file — where the text sits, what a parser extracts, what your dates say — and some of it is convention. Every finding is labelled with which, so you can weigh them differently.

A resume carries things no tool can see: which of your jobs matters most for the role you are actually applying to, what this particular employer cares about, the sentence that only makes sense if you know the project. We cannot see any of that, and none of it is in your file.

Expect to make edits outside this tool. Open the rebuilt document, read it end to end, and fix what only you can fix before you send it anywhere. Nothing here comes out ready to submit.

This is the text extracted from your file, in the order it came out. If something reads as scrambled here, that is what a parser receives — and it is the most useful thing on this page.

Key

Email we could find

Phone we could find

Section heading recognised

Characters that will not survive

Parsers differ. This is one honest extraction, not a simulation of any particular employer’s system — and most systems show you the parsed result and let you correct it before you submit.

These bullets describe what you did without saying what happened as a result. Three ways to deal with each one: answer the question and we assemble it onto the end, edit the whole line yourself, or leave it alone. Whatever you put in the box is what goes into your document — we do not add to it, and we never invent a figure. Nothing here is sent anywhere.

Every line below can be said in fewer words without losing anything. These are real rewrites, not a nudge to “be concise”. Make this change puts one into the rebuilt document and marks it green there; click it again to take it back out. Ignore any of them where the longer version is closer to the truth — you know the work and we only know the sentence.

A job you have not left should read in the present tense; one that has ended should read in the past. The dates on the line above each bullet settle it — this is one of the few consistency rules on a resume that is not a matter of taste. We only checked bullets that open on a verb we recognise in both tenses.

Your resume, rebuilt as a single column of ordinary paragraphs — the shape that parses cleanly — with every structural problem we found repaired. The structural switches leave your words untouched. The wording switches below them re-inflect your own verbs and re-format your own dates, are off until you turn them on, and list every line they touch. Nothing here writes a sentence or a figure you did not write. Switch any change off and the preview updates.

Paste a job description. We will show which of its terms appear in your resume and which do not. This is our comparison, not anyone’s score — no employer will ever compute this number, and we are not pretending otherwise. It is useful for spotting language you genuinely forgot to include.

Why ours looks different

What other resume checkers tell you, and why we don’t

This category runs on invented numbers. We looked for the evidence behind the claims every competitor makes, and mostly there isn’t any. Here is what we found, so you can judge for yourself.

"Let our AI rewrite your bullet points."

We watched a leading tool rewrite a real line and hand back "engaged over 30 participants". The person it was writing for never said 30. The tool's own footnote admits it: "We may add example metrics to show what stronger impact could look like. Replace them with figures you can verify." That is a plausible invented number, in a finished-looking sentence, in a document you will email to an employer - with a disclaimer most people will not read. Some of those numbers go out unedited, and the person who sent them will not know which ones were made up until someone asks about it in an interview.

What we do insteadWe will never write a number you did not give us. Where a line has no result we ask you the question - how many, how quickly, what would have gone wrong without you - and assemble YOUR answer into a stronger sentence. It is more work for you, and it is the only version you can defend in a room.

"Your ATS score is 74%."

No such number exists. The scores that do exist are computed against configuration only the employer can see - Greenhouse scores against calibration criteria a recruiter sets per job; Taleo against per-requisition weights. Bullhorn's score depends on the recruiter's search terms, on how common those terms are in that employer's private database, and - the clinching detail - on the permission level of whoever is logged in. A number that changes depending on who is looking at it is not a measurement of your resume. No ATS exposes a candidate-facing score API. Any tool showing you one has computed its own keyword overlap and dressed it up as an external verdict.

What we do insteadWe show you the text a parser actually extracts from your file, and what it could and could not identify. That is checkable. A score is not.

"75% of resumes are rejected by an ATS before a human sees them."

This traces to Preptel, a resume-optimisation startup that circulated it as a sales claim around 2012 and went out of business in 2013. No study, no methodology, no sample size was ever published. It is a marketing figure for a product that no longer exists, laundered through a decade of citation.

What we do insteadReal filtering does happen - Harvard Business School and Accenture surveyed 2,275 executives and found more than 90% filter or rank candidates, and 48% screen out middle-skills applicants with a gap over six months. But that is employers configuring criteria, not software rejecting your formatting.

"An ATS will auto-reject you for your formatting."

No vendor documents this and several explicitly deny it. Greenhouse: "Talent Matching does not auto-reject or auto-advance any candidate." Ashby: "it is up to the reviewer to advance or reject." Automated rejection is real - but it runs on the structured questions you answer in the application form (work authorisation, relocation, years of experience), not on your resume.

What we do insteadWe check the things that genuinely break parsing, which is a different and much smaller list than the internet suggests. And we tell you that the form questions decide more than the resume does.

"Always submit a Word document - ATS cannot read PDFs."

Obsolete by about a decade, and we could not find a single vendor that has ever said it. Greenhouse tells candidates the opposite: "Upload a PDF for best results." The real distinction is not the file extension - it is whether the PDF carries a text layer or is a scan.

What we do insteadWe check for a text layer, which is the thing that actually matters, and we check your file size against the 2.5 MB threshold above which Greenhouse silently fails to parse while still accepting the upload.

"Name your file a particular way to get past the ATS."

There is no documented mechanism by which a filename enters a parse, a search index or a score. We searched vendor documentation specifically for this and found nothing. Parsers read file contents.

What we do insteadWe do not check your filename. Name it sensibly for the human who downloads it and stop worrying about it.

"Repeat keywords to raise your match score."

This only does anything on a lexical engine - Bullhorn scores by how often your search terms appear - and only against a query you cannot see. Greenhouse matches semantically, mapping several terms onto one calibrated skill, so repetition buys exactly nothing. And white-text keyword stuffing reaches the parser but is visible to any recruiter who selects the text.

What we do insteadWe show you which terms from a job description are missing from your resume, and say plainly that this is our comparison and not anyone's score.

"Fancy fonts and hyperlinks break the ATS."

No vendor documentation, and no mechanism. Anchor text extracts as text. The real font variable is whether the PDF carries a correct character map - a property of the program that made the file, not of the typeface.

What we do insteadWe check what actually came out of your file. If your characters extracted correctly, your font is fine, whatever it is.

Sources for all of this are the vendors’ own help documentation — Greenhouse, Workday, Oracle Taleo, Bullhorn and Ashby — plus the Harvard Business School and Accenture “Hidden Workers” study. We would rather show our working than ask you to trust a percentage.

Your privacy, precisely. Your resume is read and analysed by JavaScript running in this page. It is never transmitted to thinQtank or to anyone else, it is not written to any server, and it is gone when you close the tab. You can verify this: open your browser’s developer tools, watch the network panel, and analyse a file. There are no requests. The only things this page loads are the two libraries that read PDF and Word files, and they load before you choose anything.

What this tool is for, exactly. ApplySmart™ runs the checks a careful human reviewer would run, quickly and consistently, on the part of a resume that can actually be measured: how the document is built. It does not know what any particular employer has configured, it cannot judge whether your experience fits a role, and it cannot write the sentences that only you can write. Where our advice is convention rather than evidence, we label it as such on the finding itself.

Everything it produces is a draft you will edit. The rebuilt document is your own content in a structure that parses cleanly — a starting point, not a finished resume. Read it end to end before you send it anywhere, and expect to make changes outside this tool. A resume is a document about a person applying for a particular job, and we can see neither the person nor the job.

thinQtank Learning is not affiliated with any applicant tracking system vendor.

Find your exam