How It Works
Understand how our ATS Score Checker analyzes your resume, what parameters we test, the AI models behind our deep analysis, and the technology powering it all.
What is an ATS?
An Applicant Tracking System (ATS) is software used by employers to manage job applications. Over 97% of Fortune 500 companies use an ATS to filter, parse, and rank resumes before a human recruiter ever sees them.
Popular ATS systems include Workday, Greenhouse, Lever, iCIMS, Oracle Taleo, SAP SuccessFactors, Ashby, SmartRecruiters, and many more. Each has different parsing engines, scoring algorithms, and keyword matching approaches.
When you submit your resume, the ATS extracts text, parses it into structured fields (name, email, skills, experience, education), and scores it against the job requirements. Resumes that score below the threshold are automatically filtered out — never seen by a recruiter.
How We Score Your Resume
Our engine simulates what real ATS systems do when they process your resume. We analyze your document across 6 scoring categories and 25+ individual parameters, each weighted according to the specific ATS you select.
Format Compatibility
15-20%- File format (PDF/DOCX)
- Text extractability
- Character encoding
- Layout simplicity (no tables/columns)
- Resume length
- Headers & footers
Content Structure
20-25%- Contact information completeness
- LinkedIn profile
- Professional summary
- Experience section
- Education section
- Skills section
- Standard headings
- Date consistency
Content Quality
20-25%- Action verbs usage
- Quantified achievements
- Bullet points
- Experience entry quality
- Education completeness
- Strong language (no filler)
- Certifications
Keyword Optimization
15-20%- Hard skills coverage
- Soft skills coverage
- Keyword variety
- Industry terminology
- Spelling accuracy
Readability & Language
10%- Sentence length
- Passive voice detection
- Verb tense consistency
- Word repetition
- Reading level
Job Description Match
20% (when JD provided)- Overall keyword overlap
- Hard skills match
- Soft skills match
- Title & role alignment
- Experience level match
- Education requirements match
Deep Analysis Features
Beyond the score, we provide comprehensive analysis that goes deeper than any other ATS checker:
What the ATS Sees
View the raw text extracted from your resume exactly as an ATS parser would read it. See which sections, skills, and contact information were successfully detected.
Experience Deep Dive
Each job entry is scored individually across 8 checks: job title, company, dates, bullet points, metrics, action verbs, language quality, and career progression signals. Includes concrete rewrite suggestions for weak bullet points.
Skills Breakdown
Your skills are categorized into groups (Programming, Cloud, Data, Design, Business, etc.) and compared against industry databases. See which skills are found, which are missing, and which to add.
Readability Analysis
We measure sentence length, passive voice usage, verb tense consistency, word repetition, and reading level. ATS AI systems use NLP — readable resumes score higher.
Employment Gap Detection
We parse date ranges from your experience entries and flag gaps longer than 3 months. Includes severity ratings and advice on how to address them.
ATS-Specific Tips
Each of our 30+ ATS profiles includes specific tips and known parsing quirks. Workday handles PDFs differently than Oracle Taleo. Greenhouse scores differently than iCIMS. We tailor advice to the exact system you're targeting.
Prioritized Recommendations
Every recommendation is ranked by impact (Critical, High, Medium, Low) with examples. Fix the most impactful issues first to maximize your score improvement.
30+ ATS Systems Covered
We maintain profiles for the most widely used ATS platforms globally, grouped into four categories:
Enterprise HCM Suites
Workday, Oracle Taleo, SAP SuccessFactors, ADP, Ceridian Dayforce, UKG Pro, Darwinbox, BambooHR, PeopleStrong
Best-of-Breed ATS
Greenhouse, Lever, iCIMS, SmartRecruiters, Ashby, Workable, Bullhorn, Jobvite, Zoho Recruit, Breezy HR, Recruitee, Teamtailor, Manatal, Pinpoint
SMB & Regional
greytHR (India), Keka (India), Zimyo (India)
Staffing & Niche
CEIPAL, JobDiva, NEOGOV (public sector)
Each profile includes specific scoring weights, format preferences, parsing strength ratings, and ATS-specific tips based on how that particular system processes resumes.
AI-Powered Deep Analysis
Beyond rule-based scoring, we offer an optional AI-powered deep analysis that runs 5 specialized AI models in parallel via OpenRouter. Each model focuses on a different aspect of your resume, giving you a multi-dimensional view that no single model could provide alone.
AI analysis is opt-in — you click a button to trigger it after your initial score is calculated. It's not automatic, so you're always in control. And because we use free-tier models, there's no cost to you.
Gemma 4 31B
google/gemma-4-31b-it:free
Resume Quality Assessment
- Overall quality & ATS compatibility rating
- Professional tone analysis
- Top strengths identification
- Critical issues flagged
Nemotron 120B
nvidia/nemotron-3-super-120b-a12b:free
Skills & Career Analysis
- Skills gap analysis
- Career trajectory assessment
- Best-fit industries
- Competitive positioning
- Strategic recommendations
GPT-OSS 120B
openai/gpt-oss-120b:free
Actionable Rewrites
- Before/after bullet point rewrites
- Improved professional summary
- Keywords to add
- Formatting fixes
Cohere Rerank Pro
cohere/rerank-4-pro
JD Relevance Ranking
- Ranks each resume section by relevance to job description
- Deep semantic matching (when JD provided)
- Section-level relevance scores
Cohere Rerank Fast
cohere/rerank-4-fast
Quick Relevance Check
- Fast relevance scoring for keyword-level JD matching
- Lightweight semantic comparison
- Instant keyword alignment feedback
How It Comes Together
- All 5 models run in parallel using
Promise.allSettledfor maximum speed - Results are aggregated into a clean, tabbed interface — one tab per model
- Graceful error handling per model — if one fails, the others still return results
- Uses free models so there's zero cost to you
Technology Behind the Tool
Our ATS checker is built with modern, high-performance technologies for instant analysis:
Frontend
- React 18 with Server Components
- TypeScript for type safety
- Tailwind CSS for responsive UI
- Next.js 14 App Router
- Inter font for clean typography
Resume Parsing
- pdf-parse for PDF text extraction
- mammoth for DOCX text extraction
- Custom regex-based section detection
- Multi-format date parsing
- Smart skill extraction with word boundaries
Scoring Engine
- 25+ parameter rule-based scoring
- Stem-based action verb matching
- Flesch-based readability analysis
- Employment gap detection algorithm
- ATS-specific weight profiles
Analysis
- NLP-inspired keyword matching
- Passive voice detection
- Verb tense consistency checking
- Industry terminology databases
- Smart rewrite suggestion engine
AI Analysis
- 5 models via OpenRouter API
- Parallel execution with Promise.allSettled
- Gemma 4, Nemotron 120B, GPT-OSS 120B
- Cohere Rerank Pro & Fast for JD matching
- Graceful error handling per model
All rule-based analysis runs entirely server-side within the Next.js API route. Your resume is never stored, sent to third parties beyond the AI analysis you opt into, or retained after analysis. The entire process happens in a single request-response cycle.
Scoring Methodology
Our scoring is designed to be realistic and actionable:
Weighted Categories
Each ATS profile defines different weights for the scoring categories. Enterprise ATS like Oracle Taleo weight format compliance higher; modern ATS like Greenhouse weight content quality higher.
Graduated Scoring
Parameters use graduated scales, not binary pass/fail. A resume with 5 bullet points scores differently than one with 15 — both pass, but the denser one scores higher.
No Artificial Inflation
Maximum scores per parameter are capped at 85-95, not 100. This prevents trivially easy checks from inflating your score. A perfect 100 is intentionally difficult to achieve.
JD-Aware Scoring
When you provide a job description, it takes 20% of the overall weight. This means a resume perfectly tailored to a JD scores higher than a generic resume with the same base quality.
Impact Ranking
Every finding is ranked by impact: Critical (score < 30), High (< 50), Medium (< 75), Low (< 90). This helps you prioritize which fixes will improve your score the most.
Score Thresholds
Privacy & Security
Your privacy is paramount:
- Your resume is processed in memory and never stored on disk or in a database
- Rule-based analysis requires no external API calls
- AI analysis is opt-in — your resume is only sent to OpenRouter when you explicitly request it
- All analysis happens server-side in a single request-response cycle
- No cookies, tracking, or analytics are used
- The tool is fully self-contained with zero external dependencies for core analysis