File-level parsing
Can the text actually be extracted from your PDF, in the right order? Design-tool exports often fail here while looking perfect on screen.
ATS resume checker
Most checkers extract the text and analyse that. CVScore inspects the PDF file itself, the way an ATS does — so a CV that looks fine but parses as garbage gets caught before a recruiter never sees it.
Can the text actually be extracted from your PDF, in the right order? Design-tool exports often fail here while looking perfect on screen.
Complex tables, multi-column traps, headers and footers that swallow contact details, fonts that break extraction.
On paid plans: 20 criteria covering sections, parsable dates, action verbs, quantified results and keyword coverage for your target job.
Honest framing: ATS software ranks applications, it does not auto-reject them. A readable, well-aligned CV simply surfaces higher in the recruiter's pile — the decision stays human.
No — that is a persistent myth. Applicant tracking systems rank and filter applications; recruiters make the decisions. But if the system cannot parse your PDF correctly, your CV surfaces lower or with scrambled content. Readability is what you can control.
Because parsing failures come from the file: text drawn as vector shapes, multi-column layouts read in the wrong order, content in images. A checker that only looks at extracted text can say a CV is fine when the ATS actually sees garbage — a classic problem with design-tool exports.
Yes. The readability verdict is language-independent: it checks whether the file structure can be parsed, whatever language the content is in.
The basic readability check is part of the free plan (no credit card). The detailed 20-criteria score with fix-by-fix guidance is part of the paid plans.