CV analysis and scoring
Five dimensions add up to 100, and every lost point is tied to a named finding.
The platform scores your CV across five dimensions out of 100:
- Parseability (25): Whether the text layer survives extraction. Columns, tables, icon fonts and broken encodings are judged here.
- Keyword match (25): Coverage of terms mined from the job ad, each weighted by how central it is to the posting.
- Impact (20): Quantified results and ownership verbs, measured against responsibility filler text.
- Structure (20): Headings a parser can map to fields, dated entries in reverse order, bullets over paragraphs.
- Contact (10): Name, email, phone, location and profile links.
Every lost point is tied to a named finding that states which line it came from and what to write instead. Findings are ranked by the points they would recover.
How does the ATS CV checker calculate the score?
The ATS CV checker scores a resume out of 100 by adding five dimensions, and every point it takes away is tied to a named finding. The score is deterministic: the same CV and job ad always give the same number.
Each dimension starts at its maximum and loses the cost of every finding raised against it, never going below zero. Findings are then ranked by the points they would win back, so the first fix on the list is the most valuable one. The total maps to a band: 85 and above is excellent, 70 and above is good, 55 and above is fair, and anything lower is risky.
| Dimension | Points | What it looks at |
|---|---|---|
| Parseability | 25 | Whether the text layer survives extraction: columns, tables, icon fonts, encoding |
| Keyword match | 25 | Coverage of terms taken from the job ad |
| Impact | 20 | Measurable results and action verbs versus filler |
| Structure | 20 | Headings, dates, order and bullets |
| Contact | 10 | Name, email, phone, location, profile link |
What does the resume score not tell me?
The ATS resume score is a rule-based readability estimate. It does not predict hiring outcomes and it does not replicate how any named vendor's parser behaves.
Without a job ad the keyword dimension is capped at 20 of 25, because relevance only exists relative to one vacancy. Paste the ad to get the full 25 points in play. AI features can explain or suggest, but they never change the number.
Example: what does a lost point look like?
A lost point in the ATS CV checker always comes with a finding that names the defect, quotes the evidence and tells you what to change. Nothing is deducted silently.
Say a CV is laid out in two columns. The finding parse.columns takes 5 points from Parseability, shows the lines with wide gaps as evidence and tells you to rebuild the CV in a single column without tables. A missing email address costs 4 points in Contact; a CV with almost no figures loses points in Impact. Fix the findings at the top of the list first and run the analysis again to see the score move.
How do I check my CV for ATS?
To check a CV for ATS, sign in, open the analyzer, upload the exact file you send to employers and optionally paste a job ad. The file is read and scored in your browser.
When a CV is analysed, the file, its text and the result are also stored on the server for 12 months and then deleted. Pick the target market if auto-detect is wrong, then work through the ranked findings.
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