How Workday, Greenhouse & Lever Actually Parse Resumes in 2026

Short answer: Workday, Greenhouse and Lever do not "read" your resume the way a person does. They convert your file into plain text, then try to sort that text into fields — name, contact details, job titles, employers, dates, education and skills. Recruiters then search and filter those fields. If your layout confuses that conversion, your experience can end up in the wrong place, or go missing, before a human ever sees it.

This guide explains what parsing is, where it commonly goes wrong, and how to make sure your resume comes through cleanly — whether you are applying in the US, UK, Europe or the Gulf.

First, a myth: the ATS "auto-rejects" most resumes

You will often read that applicant tracking systems reject most resumes automatically. That is an oversimplification. In most companies, an ATS is a database and workflow tool. Rejections usually come from:

• Knockout questions the employer configured (for example work authorisation, location or required certifications).
• Recruiter filtering and search — a recruiter searches for a title or skill and your profile does not come up.
• A human decision after a quick skim.

Parsing matters because it affects the second and third points. If your job titles or skills are extracted badly, you are harder to find in search, and the profile a recruiter opens looks messy or incomplete.

What "parsing" actually means

When you upload a resume, the system typically does three things:

1. Extracts text from your PDF or Word file. If the text is inside an image, or the PDF has no selectable text layer, there may be little or nothing to extract.
2. Splits the text into sections using headings such as "Experience", "Education" and "Skills".
3. Maps content into fields — matching patterns like dates, company names and job titles.

Many ATS platforms use parsing technology that is built in-house or licensed from specialist vendors, and this can vary by platform and even by employer configuration. The exact engine matters less than the principle: clear structure in, clean data out.

Workday: the "re-type everything" experience

If you have applied through Workday, you have probably seen it pre-fill a long application form from your resume — and then had to fix half of it.

That form is a direct view of the parsing result. Common problems candidates report:

• Job titles and employer names swapped or merged, often when the resume uses two columns or places dates and titles side by side.
• Missing roles, when experience sits in a text box, table or sidebar.
• Contact details not detected, when they are placed in the document header or footer.
• Wrong dates, when formats are mixed (for example "Jan '22 – now" in one role and "2019–2021" in another).

What to do: Always review the pre-filled fields before submitting. If Workday gets your resume badly wrong, that is a strong signal other systems will too — and that your layout needs simplifying.

Greenhouse: a recruiter sees both the file and the data

Greenhouse is widely used by tech companies and fast-growing businesses. Recruiters usually see your original resume file alongside the candidate profile and any application answers.

That means two things matter:

• Your file must look good to a human — it is often opened directly.
• Your text must still be extractable — search, tags and filters depend on it.

Graphics, icons, skill-rating bars and text in tables can render fine visually but extract as scrambled or empty text. A recruiter searching for "Python" or "IFRS" may not find you if the word only appears inside a graphic.

What to do: Write skills as plain words, not visuals. A line such as "Skills: SQL, Python, Tableau, Stakeholder Reporting" is far more useful than five-star rating icons.

Lever: profiles, history and search

Lever combines applicant tracking with candidate relationship tools, so a candidate profile can persist and be revisited for future roles.

That makes clean data valuable over time:

• Consistent job titles make it easier for recruiters to find you in later searches.
• Skills written in your experience bullets — not just a skills list — give context to what you actually did.
• Matching your LinkedIn profile avoids confusion when a recruiter cross-checks you.

What to do: Use the job titles you actually held (with a clarifying title in brackets if your internal title is unusual), and keep them consistent across your resume and LinkedIn.

Why two-column and designer resumes cause trouble

Two-column templates from design tools are the most common cause of parsing problems we see. Text extraction often reads a page left-to-right, line by line. When two columns sit side by side, lines from the sidebar and the main column can be interleaved — so a skill, a date and half a job title end up in one sentence.

Some systems handle columns better than others, but you rarely know which ATS (or which configuration) an employer uses. A single-column layout removes that risk entirely.

This does not mean your resume must look plain. Clean typography, clear headings and good spacing are fully compatible with parsing. What causes problems is structure: columns, tables, text boxes, images of text and content in headers or footers.

The 5 rules for parser-friendly resumes

1. Use a single-column layout. Keep the reading order top to bottom.
2. Use standard section headings. "Experience", "Education", "Skills", "Certifications". Creative headings like "My Journey" may not be recognised.
3. Use one consistent date format. "Mar 2022 – Present" or "03/2022 – Present" — pick one and use it everywhere.
4. Keep contact details in the main body, not in the document header or footer.
5. Export a PDF with real, selectable text — or a Word file if the employer asks. If you cannot highlight and copy your text, many systems cannot read it either.

Bonus: avoid putting key information only in icons, charts, tables or images.

How to check your resume before you apply

You do not need access to Workday or Greenhouse to test your resume. Two quick checks:

• The copy-paste test: open your PDF, select all, and paste into a plain text editor. If the order is jumbled or sections are missing, a parser may struggle too.
• Run an ATS scan: the free DexterCV Resume Scanner shows a parser-style view of how your resume's text is extracted, alongside feedback on structure, clarity, impact and ATS compatibility.

If your layout is the problem, the DexterCV resume builder offers single-column, ATS-friendly templates you can edit and export.

For more background, read how ATS resume scanners work and what an ATS resume checker actually checks.

Frequently asked questions

Does Workday reject resumes automatically?

Workday itself is a system the employer configures. Automatic rejections usually come from screening questions the employer sets up, not from parsing alone. Poor parsing can still hurt you by making your profile incomplete or harder to find in recruiter searches.

Is a PDF or Word resume better for ATS?

Most modern ATS platforms accept both. A PDF with selectable text is usually fine and preserves your formatting. If an employer specifically requests a Word document, follow their instructions.

Can ATS systems read two-column resumes?

Some can, some cannot, and results vary by configuration. Because you rarely know which system an employer uses, a single-column layout is the safest choice.

Should I include icons or skill-rating bars?

It is best to avoid them. Icons and rating bars are often ignored or extracted as meaningless characters. Write your skills as plain text instead.

How do I know if my resume parses correctly?

Try the copy-paste test, review any pre-filled application fields carefully, and run your resume through an ATS scanner such as the free DexterCV Resume Scanner to see a parser-style view of your content.