🎯 ATS Resume Analyzer

Free ATS Resume Checker · AI-Powered Resume Scanner · No Signup Required · Instant ATS Score

A modern, AI-powered ATS (Applicant Tracking System) Resume Analyzer that helps job seekers understand how their resume performs in automated screening systems. Supports 25+ industries including Software, Healthcare, Finance, Legal, Education, and more!

🔗 Try it Live →

🔗 Deployments

• Primary frontend (Vercel): https://resume-ats-mu.vercel.app
• Alternate / vanity URL: https://ats.lovexog.me

✨ What It Does

Upload your resume (PDF or DOCX) and get instant, comprehensive analysis:

• See your ATS compatibility score (0-100)
• Understand what's working and what needs improvement
• Get AI-powered suggestions tailored to your industry
• Download a detailed PDF report

🏭 Supported Industries (25+)

Technology	Business	Healthcare	Other
Software / IT	Marketing	Healthcare / Medical	Legal
Data Science / AI	Finance / Banking	Pharmaceutical / Biotech	Education
Cybersecurity	Sales		Real Estate
Design / UX	Human Resources		Hospitality
	Operations / Supply Chain		Retail / E-commerce
	Consulting		Government
	Project Management		Non-Profit

🚀 Features

• ATS Compatibility Score: Get a comprehensive score (0-100) showing how well your resume will perform
• Candidate Profile Extraction: Automatically extract name, email, phone, LinkedIn, and GitHub
• Domain Detection: AI detects your primary job domain (IT, Data, Marketing, Finance, etc.)
• Skills Analysis: Comprehensive breakdown of technical skills, frameworks, tools, and soft skills
• Projects Review: Analyze project descriptions, technologies used, and impact statements
• Experience Analysis: Evaluate work experience quality, action verbs usage, and metrics
• Issue Detection: Identify formatting issues, missing sections, and ATS compatibility problems
• Smart Suggestions: Get actionable recommendations to improve your ATS score
• PDF Report Download: Download a professional PDF report of your analysis

🖨️ Local OCR Fallback (Scanned Resumes)

Resume-ATS now includes a fully local OCR fallback to handle scanned or image-based PDFs. Key points:

• The backend attempts standard PDF text extraction first (PyPDF). OCR runs only when extraction quality is poor (heuristics: text length < 800 chars, word count < 150, missing email or phone).
• OCR uses Tesseract via pytesseract and pdf2image to convert pages at 300 DPI and preprocess images (grayscale, contrast, sharpening) before OCR.
• Safety controls: max 5 OCR pages, 15s OCR timeout, never OCR DOCX, never store OCR images, never overwrite original PDFs.
• Safety controls: max 5 OCR pages, 30s OCR timeout, never OCR DOCX, never store OCR images, never overwrite original PDFs.
• API responses include parsing_method ("standard" | "ocr" | "ocr_unavailable") and ocr_confidence ("low" | "medium" | "high").

This makes Resume-ATS more robust for scanned resumes while keeping all processing local—no cloud OCR, no external APIs.

🛠️ Tech Stack

Frontend

• Next.js 14
• React 18
• TypeScript
• Tailwind CSS
• Framer Motion
• Lucide React Icons

Backend

• Python 3.10+
• FastAPI
• PyMuPDF (PDF parsing)
• python-docx (DOCX parsing)

📦 Installation

Prerequisites

• Node.js 18+
• Python 3.10+
• pip

Backend Setup

1. Navigate to the backend directory:

cd backend

2. Create a virtual environment:

python -m venv venv

3. Activate the virtual environment:

• Windows:

venv\Scripts\activate

• macOS/Linux:

source venv/bin/activate

4. Install dependencies:

pip install -r requirements.txt

5. Start the backend server:

uvicorn app.main:app --reload --port 8000

The API will be available at http://localhost:8000

Frontend Setup

1. Navigate to the frontend directory:

cd frontend

2. Install dependencies:

npm install

3. Start the development server:

npm run dev

The application will be available at http://localhost:3000

📁 Project Structure

Resume-ATS/
├── backend/
│   ├── app/
│   │   ├── __init__.py
│   │   ├── main.py              # FastAPI application
│   │   ├── models/
│   │   │   ├── __init__.py
│   │   │   └── schemas.py       # Pydantic models
│   │   └── services/
│   │       ├── __init__.py
│   │       ├── resume_parser.py # PDF/DOCX parsing
│   │       ├── skill_extractor.py
│   │       ├── domain_classifier.py
│   │       └── ats_scorer.py    # ATS scoring logic
│   └── requirements.txt
│
├── frontend/
│   ├── src/
│   │   ├── app/
│   │   │   ├── globals.css
│   │   │   ├── layout.tsx
│   │   │   └── page.tsx
│   │   ├── components/
│   │   │   ├── Header.tsx
│   │   │   ├── Hero.tsx
│   │   │   ├── HowItWorks.tsx
│   │   │   ├── Features.tsx
│   │   │   ├── UploadSection.tsx
│   │   │   ├── LoadingOverlay.tsx
│   │   │   ├── ResultsDashboard.tsx
│   │   │   ├── Footer.tsx
│   │   │   └── results/
│   │   │       ├── ScoreCircle.tsx
│   │   │       ├── ScoreBreakdownCard.tsx
│   │   │       ├── SkillsCard.tsx
│   │   │       ├── ExperienceCard.tsx
│   │   │       ├── ProjectsCard.tsx
│   │   │       ├── KeywordsCard.tsx
│   │   │       ├── IssuesCard.tsx
│   │   │       └── SuggestionsCard.tsx
│   │   └── types/
│   │       └── index.ts
│   ├── package.json
│   ├── tailwind.config.js
│   └── next.config.js
│
└── README.md

🎯 ATS Scoring Logic

The ATS score is calculated based on:

Factor	Weight
Keyword Relevance	20%
Section Completeness	20%
Formatting Score	15%
Skill Relevance	20%
Experience Clarity	15%
Project Impact	10%

Score Categories:

• 80-100: Excellent - Resume is well-optimized for ATS
• 60-79: Good - Minor improvements needed
• 40-59: Needs Improvement - Significant optimization required
• 0-39: Poor - Major restructuring needed

📡 API Endpoints

POST /api/analyze

Analyze a resume file and return comprehensive ATS analysis.

Request:

• Content-Type: multipart/form-data
• Body: file (PDF or DOCX, max 5MB)

Response:

{
  "success": true,
  "candidate": {
    "name": "John Doe",
    "email": "john@example.com",
    "phone": "+1-555-123-4567",
    "location": "New York, NY"
  },
  "ats_score": 85,
  "score_category": "Excellent",
  "domain": {
    "primary": "Software / IT",
    "confidence": 0.92
  },
  "skills": {...},
  "experience": {...},
  "projects": [...],
  "issues": [...],
  "suggestions": [...]
}

GET /health

Health check endpoint.

🔒 Security

• Files are processed in memory and immediately deleted after analysis
• No data is stored on the server
• No user tracking or analytics
• No signup required

🚧 Future Features

• User authentication and resume history
• Job description matching
• AI-powered resume rewriting
• Recruiter dashboard
• Resume comparison
• Industry-specific scoring

📄 License

MIT License - feel free to use this project for personal or commercial purposes.

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

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Built with ❤️ for job seekers everywhere