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Python CV PDF Generator

A professional, data-driven CV generator built with Python and FPDF2. This tool allows you to maintain your professional data in a clean YAML format and generate polished, two-column PDF layouts automatically.

Features

  • Automated Dual-Generation: By default, the generator processes both English (cv_data.yaml) and Hungarian (cv_data_hu.yaml) versions in a single run.
  • Dynamic Layout: Sections automatically collapse and the layout re-adjusts if specific information (such as experience, education, or interests) is omitted from the data source.
  • Customizable Labels: All section headers (e.g., Summary, Experience, Skills) can be overridden directly within the YAML files using a labels dictionary.
  • Two-Column Design: Professional layout featuring experience and projects in the main column, with a sidebar for skills, languages, and education.
  • Smart Filenames: Output PDF filenames are automatically generated based on the name and role defined in the data (e.g., cv_john_doe_software_engineer.pdf).
  • Icon Integration: Includes standardized professional icons for contact information and section highlights.

Prerequisites

  • Python 3.7+
  • fpdf2
  • PyYAML

Installation

  1. Clone or download this repository.
  2. Install the required dependencies:
pip install -r requirements.txt

Usage

1. Prepare Your Data

The generator uses YAML files for input. You can use the provided examples as a starting point:

  • cv_data.yaml: Primary data file (typically English).
  • cv_data_hu.yaml: Secondary data file (typically Hungarian).

2. Generate Your CV

To generate both default CV versions at once, run:

python generator.py

To generate a specific CV from a custom YAML file, provide it as an argument:

python generator.py custom_data.yaml

Customization

Section Labels

You can change any section header by adding a labels section to your YAML file:

labels:
  summary: "PROFESSIONAL SUMMARY"
  experience: "WORK HISTORY"
  education: "STUDIES"

Profile Picture

Place your profile picture in the assets/ directory (e.g., assets/profile.jpg) and reference the path in the image field of your YAML file.

Icons

Standard icons are located in the assets/ directory. The generator expects the following filenames for consistent styling:

  • phone.png, envelope-simple.png, map-pin.png
  • github-logo.png, linkedin-logo.png
  • calendar-gray.png, map-pin-gray.png

License

This project is open-source and free to use for personal career development.