April 22, 2026 · 9 min read

Why Your Resume Gets Parsed Wrong (and How to Fix It in 10 Minutes)

Most rejections happen at the parsing layer, before any human or AI scores your application. Here are the seven most common parse failures, why they happen, and how to fix each one in under 10 minutes.

TL;DR. Most rejections happen before your resume is read by anyone. ATS parsers fail silently on seven common issues: two-column layouts, non-standard section headings, image-of-text, custom fonts, decorative bullet markers, headers and footers for contact info, and tables for layout. Each one takes under 10 minutes to fix. Together they are the difference between a 0% match score and the same resume being seen by a human.

What "parsed wrong" actually means

When you upload a resume to an ATS, the platform does not read it the way you do. It runs a structured-data extractor that tries to populate fields like:

  • name
  • email
  • phone
  • location
  • work_history (list of: employer, title, start_date, end_date, bullets)
  • education (list of: school, degree, dates)
  • skills (list of strings)

If the extractor cannot map a part of your resume to one of these fields, that part either gets dumped into a generic "notes" field (which is usually not searched by recruiter filters) or gets dropped entirely.

Recruiters then search and filter on the structured fields. If your "Senior Software Engineer at Stripe" line ended up in notes instead of work_history, you do not appear in the recruiter's search for "Senior Software Engineer." You are technically in the database, and effectively invisible.

That is what "parsed wrong" means: your information is in the system but not where the recruiter is looking.

The seven parse failures

1. Two-column layout

The most common failure by far. Designers love two columns. Parsers read top-to-bottom, left-to-right, in a fixed reading order. A sidebar with skills and a main column with experience gets read as: "Skills row 1, Experience row 1, Skills row 2, Experience row 2..." producing interleaved garbage that no field extractor can recover.

Fix: Use one column. The visual loss is small. The parsing gain is enormous.

2. Non-standard section headings

Parsers identify sections by matching heading text against a known list. The standard list:

  • Experience / Work Experience / Professional Experience / Employment History
  • Education / Academic Background
  • Skills / Technical Skills / Core Competencies
  • Projects / Selected Projects
  • Certifications
  • Publications
  • Summary / Profile

Anything outside this list often fails to map. Common offenders: "Where I have built things," "My toolkit," "Adventures," "Stuff I am proud of." They fail.

Fix: Use the boring standard headings. Save personality for the bullets.

3. Image of text

Modern resume builders sometimes export your name and headline as an image (especially when using custom fonts or styled effects). To you, it looks like text. To the parser, it is a PNG.

Fix: Open your PDF and try to highlight your name with your cursor. If it does not highlight, it is an image. Re-export with a real text export, or rebuild the header in plain text.

Same issue applies to:

  • Skills "rating bars" that are graphics
  • Logo + contact info combined as a single image
  • Stylized section headers that turn out to be SVG

4. Custom fonts not embedded in the PDF

If you used a font that is not standard and your PDF exporter did not embed the font, the parser sees ligature glyphs or fallback substitutions. Words like "office" become "of_ce" because the "ffi" ligature got mis-extracted.

Fix: Use standard fonts (Arial, Calibri, Helvetica, Times New Roman, Inter, Lato). If you must use a non-standard font, make sure your PDF exporter embeds the font. Word and Google Docs do this by default. Some design tools do not.

5. Decorative bullet markers

Standard bullets (•, -, *) parse correctly as list items. Decorative markers (▶, ★, custom emoji) often fail. The parser sees the bullets as part of the text and misreads the line as a paragraph instead of a list item.

Fix: Use standard bullets. Always.

6. Headers and footers for contact info

Many parsers strip the header and footer regions before extraction. If your name, email, and phone are in a styled header at the top of the page, they may get stripped. The extractor then looks for a name in the first line of the body and finds your job title instead.

Fix: Put contact info in the main body, top of the first page. Do not use Word's "Header" feature for any resume content.

7. Tables for layout

Tables are tempting for aligning columns of dates with job titles. Parsers handle tables badly. Greenhouse and Workday in particular often flatten tables in unpredictable orders, mixing dates with titles or losing rows entirely.

Fix: Use tabs or spaces, not tables. If you need date alignment, use a right-aligned date format with a tab stop.

How to verify your fix worked

Three free ways to test:

1. Highlight test. Open the PDF in your browser. Highlight every section. Every word should be selectable.

2. Copy-paste test. Select all and paste into a plain-text editor. Read the result. The order should make sense (top-to-bottom, no interleaving). Headings should be on their own lines.

3. Free parser test. Many ATS-aware tools (Greenhouse, Lever, and several SaaS resume tools) offer a free parse demo. Upload your PDF. Look at the structured output. Every section should appear in the right field.

If all three pass, you are clean. If any fail, the seven fixes above cover 95% of failure modes.

How Fursa avoids parse failure

Every resume that AURA generates is built to a parser-clean template by default:

  • Single column
  • Standard headings
  • Plain text only (no images, no decorative graphics)
  • Standard fonts (Inter, Arial fallback)
  • Standard bullets
  • No tables, no headers, no footers
  • Embedded fonts in the PDF

The result is a resume that passes the highlight test, the copy-paste test, and the free parser test on the first try. Then AURA adds the keyword and content layer on top.

The bottom line

Parse failure is the silent killer of job applications. It affects qualified candidates more than under-qualified ones because qualified candidates often have the most complex resumes (lots of roles, lots of skills, often designed in modern templates). The seven fixes above are not glamorous, but they convert a resume that no one sees into a resume that gets surfaced to a recruiter. That is the fight worth winning.