Checks

What this CV checker reviews

  • ATS structure: sections, contact details, and parse-friendly layout.
  • Keyword coverage: frontend role signals for junior, mid-level, and senior Angular, React, and general FE targets.
  • Readability: long bullets, dense text, and extraction quality issues.
  • Impact/evidence: metrics, scope, action verbs, and ownership signals.

Methodology

How the 100-point CV score works

The score uses the same category weights as the deterministic backend rules.

ATS & Readability25 pts

Contact details, parse-friendly layout, file extraction, special characters, and dense lines.

Structure & Completeness20 pts

Expected sections, headings, bullet coverage, experience/project evidence, and education/summary basics.

Impact & Evidence25 pts

Metrics, scope, action verbs, outcomes, ownership signals, and concrete frontend delivery evidence.

Consistency & Hygiene15 pts

Date consistency, duplicated wording, unclear formatting, and low-confidence parsing warnings.

Keyword Coverage15 pts

Role-specific frontend keywords found in experience, missing critical terms, and skills-only matches.

Step 1

Analyze CV

Upload a PDF or DOCX and run deterministic scoring.

Level
Stack

Level adjusts scoring expectations; stack tunes frontend keyword matching.

Drag and drop your CV here

Supported: PDF, DOCX (max 5MB)

We do not store your CV. It is processed to text and discarded.

Step 2

Review Results

Upload a CV to see your report here.

You will get category scores, quick wins, and actionable issues in this section.

Frontend focus

Frontend-specific signals

Target role changes keyword scoring while structure, readability, and impact checks stay mostly role-agnostic.

Angular target

Weights signals such as RxJS, NgRx, change detection, signals, Angular SSR, accessibility, and performance.

React target

Looks for React hooks, state management, TypeScript, testing, Next.js/SSR, performance, and accessibility.

General frontend target

Adjusts expectations from junior fundamentals to mid production delivery and senior architecture, CI/CD, and observability signals.

Level target

Junior, mid-level, and senior roles use different thresholds for bullets, metrics, LinkedIn, education, and scope cues.

Trust model

Deterministic checks vs AI resume rewriting

Deterministic rule engine

Every warning comes from explicit rules and evidence snippets, not from a generated rewrite.

No AI rewriting

The tool can suggest starter phrases, but it does not rewrite your CV or invent achievements.

Privacy-first processing

Files are processed to text for the report and are not stored by the CV Linter.

Parsing confidence

PDF extraction quality can lower confidence, so parsing-sensitive warnings are marked and may be undercounted.

Report preview

Sample frontend CV report

Static sample, not your uploaded CV. This shows the report shape before you upload or paste a CV.

Overall score77/100

Target role: Senior Frontend (Angular)

Parsing confidence: High

Category breakdown

ATS & Readability20/25
Structure & Completeness16/20
Impact & Evidence17/25
Consistency & Hygiene12/15
Keyword Coverage12/15

Quick wins

  1. Move Angular performance evidence from Skills into Experience bullets.
  2. Add measurable impact to component architecture and accessibility work.
  3. Replace passive ownership wording with action verbs and scope.

Keyword coverage

Found in experienceAngular, RxJS, SSR, accessibility, web vitals
Skills onlyNgRx, signals, CI/CD
Missing criticalchange detection, lazy loading ownership
Warn

Missing measurable impact

The bullet explains dashboard work but lacks adoption, latency, conversion, or scale evidence.

EvidenceBuilt reusable dashboard components for checkout analytics.

Warn

Keyword only appears in Skills

NgRx is listed as a skill, but there is no experience bullet proving production state management work.

EvidenceSkills: Angular, NgRx, RxJS, accessibility, SSR, testing.

Info

PDF bullets may be merged

A parser-sensitive line joins two achievements, so keyword and impact scoring may be undercounted.

EvidenceOptimized LCP by 32% Implemented SSR and web vitals monitoring.

Info

Weak action verbs

Repeated passive phrasing makes ownership harder to scan in frontend experience.

EvidenceResponsible for frontend features across the checkout application.

FAQ

CV Linter FAQ

Does this simulate a real ATS?

It runs ATS-style deterministic checks for structure, readability, parsing, keywords, and frontend evidence. It is not a proprietary ATS clone and does not guarantee recruiter ranking.

What is a good CV score?

Use 80+ as a strong target, 65-79 as workable with clear fixes, and anything below 65 as a signal to improve structure, impact evidence, or role keyword coverage before applying.

Is my CV stored?

No. Uploaded files or pasted text are processed to extract text and generate the report, then discarded by the CV Linter.

PDF or DOCX?

DOCX usually gives the cleanest text extraction. PDF is supported, but complex layouts, columns, text boxes, and scanned files can reduce parsing confidence.

Does it rewrite my resume with AI?

No. The report gives deterministic issues, evidence, and starter phrases. It does not use AI to rewrite your CV or invent content.