- Make every important detail real, selectable text.
- Use clear section headings and an obvious reading order.
- Follow the employer's requested file type when one is stated.
- Check the extracted text instead of trusting a template badge.
Compatibility starts with extraction
If you cannot select, copy, and search the words in your file, a parser may have no dependable text to work with.
A parser first needs document content. A normal DOCX stores text in paragraphs and runs. A native PDF can store text as characters with font mappings. A scanned PDF may contain only page images until OCR adds a searchable layer.
This is why a beautiful preview is weak evidence. Open the exported file, select all text, paste it into a plain-text editor, and inspect the order. Check your name, email, employers, dates, job titles, skills, and section labels.
A predictable structure reduces ambiguity
Headings such as Work Experience, Education, Skills, and Certifications give parsers and people useful boundaries. Creative labels can still work, but they add a recognition problem with little benefit.
Reverse chronological experience is easy to interpret because each job follows a repeated pattern: title, employer, dates, location, then details. Keep each date close to the job it belongs to.
Formatting risks are not universal bans
| Choice | What can go wrong | Safer test |
|---|---|---|
| Two columns | Extracted text can interleave across columns. | Paste the entire file into plain text and inspect the sequence. |
| Tables | Cells can flatten in row or column order that changes meaning. | Confirm each employer, title, and date stays together. |
| Icons | An icon has no useful text if it replaces the email or phone label. | Keep the full contact value as text. |
| Header or footer text | Some extraction pipelines omit or separate it. | Put essential contact details in the main document body. |
| Unusual fonts | Missing character mappings can produce broken text. | Search the exported file for your name and copy a sample. |
A resume can parse and still be weak
Parsing only answers whether software could recover useful data. It does not judge whether your work is relevant, your claims are specific, or a recruiter will believe them. Keyword alignment also cannot replace required experience.
Sources used on this page
- Structure of a WordprocessingML documentMicrosoft Learn
Documents the paragraph, run, and text structure inside DOCX files.
- Recognize text in scanned PDFs with AcrobatAdobe Help Center
Explains that OCR adds a searchable text layer to a scanned PDF.
- Manually add a candidate or prospectGreenhouse Support
Advises recruiters to verify parsed fields and notes that embedded images or some layouts can produce incorrect imports.
- What you may be missing when you search PDF documentsPDF Association
Demonstrates how PDF content order can differ from the order visible on the page.