Resume Parsing
The process by which an ATS extracts and structures the information from your resume file.
What Is Resume Parsing?
Resume parsing is the automated process by which an Applicant Tracking System (ATS) reads your resume file, extracts the text, and organizes it into structured data fields — such as name, contact info, work history, education, and skills.
This structured data is what the ATS actually uses to evaluate and rank your application. If the parser misreads your resume, your qualifications may never register correctly.
How Resume Parsers Work
- File ingestion — The ATS receives your uploaded file (PDF, DOCX, etc.).
- Text extraction — The raw text is pulled from the document. Files with embedded images, complex fonts, or unusual encoding can cause extraction errors.
- Section identification — The parser attempts to locate standard sections: Work Experience, Education, Skills, Certifications.
- Field mapping — Each piece of content is assigned to a data field in the ATS database.
- Keyword matching — The structured content is scored against the job description.
Common Parsing Failures
| Formatting Element | What Goes Wrong | |---|---| | Two-column layout | Text from columns merges, creating nonsensical strings | | Tables | Cell content is read out of order or dropped entirely | | Headers/Footers | Content placed here is often skipped entirely | | Images and icons | Completely invisible to the parser | | Custom bullet characters | Can appear as encoding errors |
How to Make Your Resume Parser-Friendly
- Use a single-column layout
- Stick to standard fonts (Calibri, Arial, Georgia)
- Label sections with conventional headings: "Work Experience," "Education," "Skills"
- Place all contact information in the body of the document
- Save as a clean
.docxor a text-based.pdf
This is exactly what ATS-friendly formatting is designed to achieve.