Plain-Text Resume: When You Need One and How to Format It

What a plain-text resume is (and isn't)

Plain text means the file contains only characters: letters, digits, punctuation, spaces, and line breaks. There is no font, no size, no bold or italic, no column, table, header, footer, icon, or image, because the .txt format has nowhere to store them. Every system that can display text at all can display it identically, which is the whole appeal: what you paste is what the reader gets.

It is not a "more ATS-friendly" version of your resume. Applicant tracking systems read well-built PDF and Word files without trouble, and a formatted resume carries the visual hierarchy a human reviewer relies on. Plain text is a delivery format for the specific channels below, not an upgrade.

When you actually need a plain-text resume

Less often than the internet claims. The advice to "always keep a .txt resume" dates from an era when applicant tracking systems genuinely choked on formatted files; today the honest list is short:

• Paste-into-a-box forms. Many application portals still present a raw text field labeled "paste your resume." Pasting from Word or a PDF dumps smart quotes, stray bullets, and broken line wraps into it. This is the case the converter exists for.
• Text-only email. Recruiters at plenty of staffing firms ask for a resume in the body of the email. Plain text guarantees it renders identically for every recipient.
• Legacy portals. Some government and enterprise systems still request .txt uploads outright. Rare, but when it happens you have no alternative.

Everywhere else, a well-structured formatted file parses fine and reads far better for the human who opens it. That's the standard our example resumes are built to.

How to format a plain-text resume so it stays readable

Stripping formatting removes the visual hierarchy your resume relied on, and a wall of undifferentiated text is hard on the recruiter who reads it. Three conventions restore structure using nothing but characters:

• Set section headings in ALL CAPS on their own line (WORK EXPERIENCE, EDUCATION, SKILLS), with one blank line above each.
• Start every bullet with "- " (hyphen, space). It's universally understood and survives every text field; the converter below produces exactly this.
• Put your name, phone, and email on separate lines at the top rather than a single decorated line. Contact details are the one section where parsing failures are unrecoverable.

The skeleton, so you can see the shape at a glance:

JORDAN LEE
416-555-0100
jordan.lee@email.com
Toronto, ON

SUMMARY
Data analyst with four years turning warehouse data into decisions...

WORK EXPERIENCE
Data Analyst - Northstar Retail, Toronto, ON - 2022 to Present
- Rebuilt the sales dashboard used by 40 managers, cutting refresh time from a day to an hour
- Cut duplicate orders 30% by adding validation to the checkout pipeline

EDUCATION
B.Sc. Statistics - University of Toronto - 2020

SKILLS
SQL, Python, Looker, dbt

Keep lines under roughly 80 characters where you can (long lines wrap unpredictably in old form fields), use straight quotes and plain hyphens, and separate sections with a single blank line. Length rules don't change in plain text: if the original was the right length, the conversion is too. Unsure what that is for your experience level? See how far back a resume should go.

Every change the converter makes

Nothing about the conversion is a black box. The full transformation list, in the order it runs:

1. PDF ligatures expanded. PDF text layers store letter pairs like "fi" in "efficiency" as single glyphs; searching the pasted text for the real word then fails. They're restored to ordinary letters.
2. Smart punctuation straightened. Curly quotes become straight quotes, em- and en-dashes become hyphens, ellipsis characters become three periods, arrows become "->".
3. Invisible characters removed. Non-breaking spaces, zero-width characters, and tabs are replaced with ordinary spacing. These are the usual culprits when a paste "looks fine" but a keyword search over it fails.
4. Bullets normalized. Every bullet glyph at the start of a line becomes "- "; bullets used as inline separators become commas.
5. Symbols outside safe ASCII dropped, letters kept. Accented characters in names and words always survive; decorative symbols that garble in old systems don't.
6. Whitespace disciplined. Trailing spaces trimmed, runs of blank lines collapsed to one, document edges cleaned.

The counters shown above the output report exactly what was changed in your document, so you can verify rather than trust.

A before and after

Here is a typical fragment as it comes out of a PDF text layer:

Senior “Data” Analyst — 2019–2024
•	Improved efficiency by 40%…
➤ Led team of 5 → 12 analysts

And the same fragment after conversion:

Senior "Data" Analyst - 2019-2024
- Improved efficiency by 40%...
- Led team of 5 -> 12 analysts

Every difference is visible: curly quotes straightened, dashes simplified, the tab after the bullet gone, the "ffi" ligature restored to letters a keyword search can find, and the arrow rewritten so it survives any text field. This is also what separates a resume-specific converter from a generic PDF-to-text tool: generic extractors hand you the raw text layer, ligatures, tabs, and all, and leave the cleanup to you.