Workday Resume Checker: Test How Workday Reads Your Résumé
Many employers collect applications through Workday, and a parser reads your résumé before a person does. Multi-column layouts, tables and text boxes are commonly reported to come out scrambled: the parser reads straight across the page, so a sidebar of skills can land in the middle of a job description.
The tool above flattens the layout into one reading order, repairs broken characters, and rebuilds the résumé as a clean, searchable PDF, DOCX or Markdown file. Its audit projects the result onto five ATS pipelines, Workday included, so you can see what changed. It is a local simulation built from documented parsing weaknesses, not a connection to Workday, so it shows risk but cannot promise a pass.
This is the ATS Resume Sanitizer set up for one case. See everything it does →
ATS Resume Sanitizer
Applicant Tracking Systems read a résumé as one linear text stream, and they fail in predictable ways: columns interleave, ligatures and broken fonts turn into garbage, content in form fields or images is dropped, and headers get truncated. The ATS Resume Sanitizer rebuilds your résumé as a single-column, machine-readable document, entirely in your browser. Your file never leaves your device.
What it does
- Spatial linearization: an XY-cut engine finds column gutters and block gaps and flattens columns, sidebars and visual tables into one reading order.
- Glyph & CMap repair: expands ligatures (fi, fl, ffi…), neutralises Private-Use-Area characters from broken CMaps, and folds exotic bullets, dashes and quotes to plain equivalents.
- Artifact stripping: the output is rebuilt from text only, so images, skill bars, decorative vectors, form fields and annotations are gone by construction.
- Semantic restructuring: content is sorted into canonical sections (Contact, Summary, Experience, Skills, Education, Certifications…).
- Dual-target output: a searchable text PDF plus an unstyled DOCX and Markdown, ready for any parser.
- Headless ATS audit: a built-in mock parser scores machine readability and projects it onto five pipelines: Workday, Taleo, Greenhouse, Lever and iCIMS.
A note on PDF/A
The PDF is a clean, searchable text PDF with ISO core fonts and a classic cross-reference table, which covers everything an ATS relies on. It is deliberately not stamped as PDF/A-1b/2b: true conformance needs colour profiles, XMP metadata and a validating toolchain that a client-side tool cannot guarantee. You get a document that parses correctly, not a badge it cannot verify.