30+ checks. 5 scoring pillars. Under 5 seconds.
No signup. Nothing stored. Free.
Same bullet. Two very different readings. The gap between them is where offers get lost.
Responsible for managing team of engineers and helping to improve processes across the organization.
Worked on various features and contributed to team success through collaboration.
The same five dimensions real ATS engines weight internally. Every scan returns a reading on each dial plus a priority-sorted fix list.
Multi-column detection, tables, images, encoding integrity
Every bullet is color-coded with a score. Weak verbs, missing metrics, and clichés flagged inline. Tap any bullet and our rewrite engine generates three stronger alternatives.
See the exact plain text an ATS extracts from your file — including what gets lost. Columns collapse. Tables scramble. Icons vanish.
The average recruiter spends 6 seconds per resume. We simulate that exact attention pattern and tell you what they actually absorbed.
No signup. No credit card. Your resume never leaves your browser for longer than it takes to parse.
An Applicant Tracking System (ATS) is software used by employers to filter and rank job applications before a human recruiter ever sees them. When you submit your resume through an online application, the ATS parses your document into structured data — extracting your name, contact information, work history, education, and skills into separate fields.
The problem is that many resumes use formatting that breaks this parsing process. Multi-column layouts, tables, images, custom fonts, and PDF encoding issues can cause the ATS to misread or skip entire sections of your resume. A resume that looks polished to a human reader might appear as garbled text or missing data to an ATS parser.
Joboscope ATS resume scanner simulates this parsing process by running 30+ deterministic checks across five scoring pillars: parseability, essential sections, content quality, skills and keywords, and style and formatting. Unlike AI-based tools that guess at quality, our scanner uses the same rule-based logic that real ATS engines like Workday, Greenhouse, Lever, and Taleo use to evaluate resumes.
Common issues our scanner catches include passive voice in bullet points, missing quantified metrics, cliche phrases, weak action verbs, inconsistent date formatting, and sections that ATS parsers cannot read due to formatting. Each issue comes with a specific fix recommendation and a priority level so you know what to address first.