Most resumes sent to large companies never reach a human recruiter. They are screened first by an applicant tracking system, a software platform that parses, stores and filters applications based on criteria set by the hiring team. Estimates vary, but many sources suggest that 70 to 80 percent of resumes are filtered out before a human sees them. Understanding how these systems work is one of the most practical things a job seeker can do to improve their results.

An ATS does not evaluate resumes the way a human would. It does not appreciate creative formatting, visually striking design or the overall impression a resume creates. It processes text, extracts information, and scores each application based on how well it matches keywords and criteria from the job description. A beautifully formatted resume with relevant experience may score lower than a plainer one that uses the exact keywords the system is looking for.

How ATS parsing works

The first thing an ATS does with a resume is parse it. Parsing extracts the text from the document and attempts to categorize it into structured fields: name, contact information, work experience, education, skills and so on. The accuracy of parsing varies by system and depends heavily on the format of the resume.

Complex formatting is the most common cause of parsing failures. Resumes built in tables, text boxes, headers and footers, or with columns created using spaces and tabs rather than actual table elements are difficult for parsers to handle correctly. The extracted text may come out in the wrong order, with sections mixed together, or with important information missing entirely. When the ATS cannot correctly parse a resume, the application is typically scored poorly or discarded.

Graphics, charts, and visual elements that represent information rather than text are invisible to the parser. A skills section represented as a set of progress bars showing proficiency levels provides no parseable information about the skills themselves. The visual might communicate effectively to a human reader, but the ATS sees nothing where the skills should be. The same information expressed as a simple text list of skills is fully parseable.

Keyword matching

After parsing, the ATS compares the extracted text against the requirements specified for the position. The comparison is primarily keyword-based. A job description that requires proficiency in Python, data analysis and SQL will score higher for resumes that contain those exact terms than for resumes that describe equivalent experience in different language.

Synonyms and related terms may or may not be handled depending on the sophistication of the system. Some modern ATS platforms use semantic matching to recognize that machine learning and ML refer to the same thing, or that managed and led describe similar activities. Others match purely on exact text. Mirroring the language from the job description in your resume is the safest approach because it works regardless of whether the system uses semantic matching.

Section headings affect how keywords are weighted. Skills listed in a dedicated skills section are parsed differently from skills mentioned in bullet points under a work experience entry. Both locations are searched, but the structured skills section may receive different weighting. Including important keywords in both the skills section and in context within the experience section covers both cases.

Common ATS failure points

Non-standard file formats cause problems with some systems. PDF files are widely supported but not all parsers handle them equally. Word documents in docx format are often the safest choice for ATS submission because the text structure is explicit in the format. If an application portal specifies a preferred format, use it. If it does not, docx or a clean PDF from a text-based source rather than a scanned document is safest.

Images of text, including scanned resumes or resumes where the text has been converted to images for formatting purposes, cannot be parsed at all. Every such resume receives a zero for content matching regardless of how well the experience matches the position. Submitting a machine-readable document with the text in actual text format is the baseline requirement for ATS compatibility.

Unusual section headings confuse parsers. A section labeled Relevant Experience is parsed correctly as a work history section. A section labeled My Journey or Career Story may not be categorized correctly, causing the experience within it to be missed or misclassified. Using standard section headings that match what parsers are trained to recognize keeps the structure clear.

Tailoring resumes for specific positions

Generic resumes submitted to multiple positions perform worse in ATS scoring than resumes tailored to each specific job description. Tailoring does not mean rewriting the resume for each application. It means adjusting the language in the skills section and the bullet points describing experience to reflect the terminology used in the specific job description.

Reading the job description carefully and identifying the most important requirements, then checking whether your resume uses the same language to describe your matching experience, identifies the gaps to address. Adding relevant keywords where they accurately describe your experience takes 15 to 20 minutes per application and can significantly improve how your resume scores in the ATS comparison.

1. Open the Resume ATS Score tool below.
2. Paste your resume text.
3. Paste the job description you are applying for.
4. The tool analyzes keyword matches and ATS compatibility.
5. Follow the suggestions to improve your score before applying.