cvz 0.1.7

ATS Resume Analyzer CLI

⚡ cvz — ATS Resume Analyzer

Stop guessing. Start scoring.

A blazing-fast CLI tool that tells you exactly how well your resume matches a job — before a recruiter's ATS does.

🌐 Live Demo · 📦 PyPI · 🐛 Report Bug

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Why cvz?

Most resumes get rejected before a human ever reads them — filtered out by ATS (Applicant Tracking Systems) that scan for keywords and structure. cvz puts that power in your hands:

• 🔍 Keyword matching — see exactly which role keywords you're hitting (and missing)
• 🧠 Semantic similarity — goes beyond exact matches using NLP
• 🏗️ Structure scoring — checks for the sections recruiters expect
• 🚀 Works instantly — no cloud, no signup, no waiting

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Installation

pip install cvz

Or build from source:

git clone <repo>
cd cvscan
pip install -e .

Requires Python 3.9+

For better semantic scoring, grab the spaCy model:

python -m spacy download en_core_web_md

Without it? No problem — cvz gracefully skips semantic scoring and keeps everything else running.

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Quick Start

# Analyze against a specific role
cvz analyze resume.pdf --role backend

# Let cvz figure out the best role for you
cvz analyze resume.pdf

# Analyze against a raw job description
cvz analyze resume.pdf --jd "python django rest api postgresql"

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Commands

analyze — Score your resume

cvz analyze resume.pdf --role backend
cvz analyze resume.pdf --role devops --export report.json

suggest-role — Find your best-fit roles

Not sure which roles to target? cvz will tell you.

cvz suggest-role resume.pdf
cvz suggest-role resume.pdf --top 10

gap — Discover what's missing

See your strengths and the skills you need to add.

cvz gap resume.pdf --role machine_learning
cvz gap resume.pdf --role backend --export gap.json

compare — Rank multiple resume versions

cvz compare r1.pdf r2.pdf r3.pdf
cvz compare r1.pdf r2.pdf --role frontend --export compare.json

roles — Browse supported roles

cvz roles

--version

cvz --version

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How Scoring Works

Each resume is evaluated across three dimensions:

Metric	Weight	What it checks
🔑 Keyword	50%	Core (70%) + secondary (30%) role keywords
🧠 Semantic	30%	spaCy cosine similarity against role vocabulary
🏗️ Structure	20%	Standard sections present + appropriate length

Score thresholds:

Score	Rating
≥ 75%	✅ Great match
50–74%	🟡 Decent match
< 50%	🔴 Low match

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Supported Roles

backend	frontend
full_stack	software_engineer
data_scientist	data_analyst
machine_learning	ai_engineer
devops	cloud_engineer
android	ios
cybersecurity	qa_engineer
product_manager	ui_ux_designer
blockchain	embedded_systems

Run cvz roles for the full list. Role keyword sets live in src/cvscan/data/roles.json — fully extensible.

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Supported File Formats

Format	Parser
.pdf	pdfplumber
.docx	python-docx (including tables)
.txt	built-in

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Project Structure

cvscan/
├── src/
│   └── cvscan/
│       ├── main.py                 # CLI entry (Typer)
│       ├── data/
│       │   └── roles.json          # Role keyword definitions
│       ├── engines/
│       │   ├── keyword_engine.py   # Keyword scoring
│       │   ├── spacy_engine.py     # Semantic similarity
│       │   └── structure_engine.py # Resume structure
│       ├── parser/
│       │   ├── pdf_parser.py       # PDF extraction
│       │   └── docx_parser.py      # DOCX extraction + tables
│       └── utils/
│           ├── loader.py           # File + role loading
│           ├── cleaner.py          # Text normalisation
│           └── scorer.py           # Shared scoring logic
├── pyproject.toml
└── requirements.txt

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Dependencies

typer · rich · pdfplumber · python-docx · spacy · scikit-learn

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Author

Built by Anik Chand

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