cvz 0.1.2

ATS Resume Analyzer CLI

cvz — ATS Resume Analyzer CLI

A command-line tool that scores resumes against job roles using keyword matching, semantic similarity, and structural analysis. Supports PDF and DOCX files.

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Installation

pip install cvz

Or install from source:

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

Requires Python 3.9+

After installing, download the spaCy model for semantic scoring:

python -m spacy download en_core_web_md

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Usage

Analyze a resume against a role

cvz analyze resume.pdf --role backend

Auto-detect the best matching role

cvz analyze resume.pdf

Analyze against a custom job description

cvz analyze resume.pdf --jd "python django rest api postgresql"

Suggest the best-fit role for a resume

cvz suggest-role resume.pdf

Gap analysis — see what's missing for a role

cvz gap resume.pdf --role machine_learning

Compare multiple resumes

cvz compare r1.pdf r2.pdf --role backend

List all supported roles

cvz roles

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Scoring

Each resume is scored across three dimensions:

Metric	Weight	Description
Keyword	50%	Matches core (70%) and secondary (30%) role keywords
Semantic	30%	spaCy cosine similarity between resume and role keywords
Structure	20%	Presence of standard sections + resume length

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Supported Roles

Built-in roles include:

• backend
• frontend
• full_stack
• machine_learning
• data_science
• (run cvz roles for the full list)

Role keyword sets are defined in src/cvscan/data/roles.json and can be extended.

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Supported File Formats

• .pdf — via pdfplumber
• .docx — via python-docx

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Dependencies

typer
rich
pdfplumber
python-docx
spacy
scikit-learn

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Project Structure

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

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Author

Anik Chand