No text layer
A scanned or image-exported PDF may contain pixels without searchable words.
Inspect file formatsApplicant tracking systems, decoded
Tools, tests, and evidence-based guides for building a resume that extracts cleanly, without chasing a fake universal “ATS score.”
Local utility
Paste resume text and a job description. The matcher compares meaningful terms and phrases on your device. It is a revision aid, not an ATS simulation.
Open keyword matcherFailure map
A file can look perfect and still produce bad candidate data. These are document-level failures you can inspect before applying.
A scanned or image-exported PDF may contain pixels without searchable words.
Inspect file formatsColumns and positioned text can extract in a different order than they appear.
Reduce layout riskA parser can separate a job title, date, or employer from the entry it belongs to.
See parser stagesAn icon cannot replace a real email address, phone number, or link label.
Run the checklistBuilder index
We compare export options and layout controls. No builder gets a made-up parser score.
People who want strong visual control and plan to submit a PDF.
02Privacy-conscious users, developers, and anyone who wants portable JSON or Markdown alongside document exports.
03Applicants who want both common file formats without starting in a free-form design canvas.
04Applicants who want job tracking and tailoring tools in the same workspace.
Format decision
Start with the employer’s requested type. Then ask whether the exported file has usable text, a sensible order, and the structure you intended.
Read the full file analysis →Core guides
Follow ingestion, extraction, parsing, field mapping, recruiter search, and configured decision tools.
12 min read →Evidence reviewEmployer match features and third-party checker percentages are different measurements.
Matching guideFind job-specific terms and connect them to work you actually did.
Myth fileColumns, PDFs, hidden text, automatic rejection, and the one-page rule.
Format guideSeparate strong controls from choices that depend on the file and parser.
Method
Documented A primary source states the behavior.
Observed A public product or file exposes the attribute.
Unverified A claim lacks a reproducible public test.
Research queue
We publish what a test will measure before attaching a result to a product.
Common questions
An applicant tracking system stores applications and supports recruiting workflows. Resume parsing, keyword search, matching, application questions, and rejection rules are separate capabilities that can be built in, configured, or supplied by another product.
Many systems accept PDF files. A native-text PDF is very different from an image-only scan. Search the final PDF and paste its text into a plain-text editor to catch basic extraction and reading-order problems.
They can be, but columns add reading-order risk. The real test is whether extracted text stays in the intended sequence. A single column is the conservative default when you cannot test the target parser.
There is no universal passing score. Commercial checkers use their own rules. Some employer products offer configured match labels or grades, but those do not create one shared score across hiring systems.
Some employer setups include automatic rules, such as rejection tied to a required application-question response. That is different from every resume being rejected by a hidden universal keyword score.
No. The matcher runs in your browser and does not send entered text to a server or database.