csv2vcard 0.5.1

A library for converting CSVs to vCards (vCard 3.0 and 4.0)

csv2vcard

A Python library for converting CSV files to vCard format (3.0 and 4.0).

Create vCards from a spreadsheet of contacts - useful for business cards, QR codes, CRM imports, or transferring contacts between systems.

Features

• vCard 3.0 and 4.0 support - Generate either format
• Custom CSV mapping - Map any CSV column names to vCard fields
• Batch processing - Convert entire directories of CSV files
• Single-file output - Combine all contacts into one .vcf file
• File splitting - Split output by size (--max-vcard-file-size) or contact count (--max-vcards-per-file)
• Multi-type fields - Multiple phones (phone_cell, phone_home, phone_work, phone_fax), emails (email_home, email_work), and addresses (work + home)
• Media embedding - Embed photos, logos, and keys (base64 or URL)
• Accent stripping - Remove diacritics for compatibility (--strip-accents)
• Auto-detect encoding - Handles various file encodings
• Command-line interface - Convert files directly from terminal
• Library API - Use programmatically in your Python code
• Type hints - Full typing support for IDE autocomplete
• Security - Input validation and path traversal protection
• Zero dependencies - Core library uses only Python stdlib

Installation

# Basic installation (library only)
pip install csv2vcard

# With CLI support
pip install csv2vcard[cli]

# With encoding detection
pip install csv2vcard[encoding]

# Full installation
pip install csv2vcard[all]

Quick Start

Command Line

# Convert a CSV file to vCards
csv2vcard convert contacts.csv

# Specify output directory and vCard version
csv2vcard convert contacts.csv -o ./vcards -V 4.0

# Convert all CSVs in a directory
csv2vcard convert ./csv_folder/

# Export all contacts to a single file
csv2vcard convert contacts.csv --single-vcard

# Split output into multiple files (max 100 contacts per file)
csv2vcard convert contacts.csv --max-vcards-per-file 100

# Split output by file size (max 1MB per file)
csv2vcard convert contacts.csv --max-vcard-file-size 1048576

# Strip accents for compatibility
csv2vcard convert contacts.csv --strip-accents

# Use custom column mapping
csv2vcard convert data.csv -m mapping.json

# Show example mapping file
csv2vcard mapping

# Create a test vCard (Forrest Gump)
csv2vcard test

Python Library

from csv2vcard import csv2vcard, test_csv2vcard

# Basic usage - creates vCards in ./export/
csv2vcard("contacts.csv", ",")

# With options
from csv2vcard.models import VCardVersion

csv2vcard(
    "contacts.csv",
    ",",
    output_dir="./vcards",
    version=VCardVersion.V4_0,
    single_file=True,  # All contacts in one file
    mapping_file="mapping.json",  # Custom column names
    strip_accents=True,  # Remove diacritics
    max_vcards_per_file=100,  # Split into multiple files
)

# Convert entire directory
csv2vcard("./csv_folder/", ",", output_dir="./vcards")

# Test with sample contact
test_csv2vcard()

CSV Format

Your CSV file should have column headers that match vCard fields. Use the default names or create a custom mapping.

Default Column Names

Required: last_name, first_name

Basic fields:

last_name, first_name, middle_name, name_prefix, name_suffix, nickname, gender, birthday, anniversary, org, title, role, note

Contact fields (single):

phone, email, website

Multi-type phone:

phone_cell, phone_home, phone_work, phone_fax

Multi-type email:

email_home, email_work

Work address:

street, city, region, p_code, country

Home address:

home_street, home_city, home_region, home_p_code, home_country

Media:

photo, logo, key

Additional fields:

categories, geo, tz

Example CSV

last_name,first_name,title,org,phone,email,street,city,p_code,country,birthday,note
Gump,Forrest,Shrimp Man,Bubba Gump Shrimp Co.,[phone],[e-mail],42 Plantation St.,Baytown,30314,USA,1944-06-06,Life is like a box of chocolates
Doe,Jane,Developer,Tech Corp,+0987654321,[e-mail],123 Main St.,New York,10001,USA,,

Custom Column Mapping

Create a JSON file to map your CSV column names to vCard fields:

{
  "first_name": ["Given Name", "FirstName", "First"],
  "last_name": ["Surname", "FamilyName", "Last"],
  "email": ["Email Address", "E-Mail"],
  "phone": ["Phone Number", "Mobile", "Tel"]
}

Then use it:

csv2vcard convert data.csv -m mapping.json

CLI Reference

csv2vcard convert [OPTIONS] SOURCE

Arguments:
  SOURCE  Path to CSV file or directory containing CSV files

Options:
  -d, --delimiter TEXT          CSV field delimiter (default: ",")
  -o, --output PATH             Output directory (default: ./export/)
  -V, --vcard-version TEXT      vCard version: 3.0 or 4.0 (default: 3.0)
  -1, --single-vcard            Export all contacts to a single .vcf file
  -m, --mapping PATH            Path to JSON mapping file
  -e, --encoding TEXT           CSV file encoding (auto-detected if not set)
  -a, --strip-accents           Remove accents/diacritics from contact fields
  --max-vcard-file-size INT     Split output by file size (bytes)
  --max-vcards-per-file INT     Split output by contact count
  --strict                      Exit on validation errors
  -v, --verbose                 Enable verbose output
  --version                     Show version and exit
  --help                        Show help message

API Reference

Main Functions

from csv2vcard import csv2vcard, test_csv2vcard
from csv2vcard.models import VCardVersion

# Convert CSV to vCards
files = csv2vcard(
    csv_filename,           # Path to CSV file or directory
    csv_delimiter=",",      # Field delimiter
    output_dir=None,        # Output directory (default: ./export/)
    version=VCardVersion.V3_0,  # vCard version
    strict=False,           # Raise on validation errors
    single_file=False,      # Combine all contacts into one file
    encoding=None,          # File encoding (auto-detected)
    mapping_file=None,      # Path to JSON mapping file
    strip_accents=False,    # Remove diacritics
    max_file_size=None,     # Split by file size (bytes)
    max_vcards_per_file=None,  # Split by contact count
)
# Returns: List[Path] of created vCard files

# Test with sample contact
test_csv2vcard(
    output_dir=None,
    version=VCardVersion.V3_0,
)

Models

from csv2vcard.models import Contact, VCardVersion, VCardOutput

# Create a contact programmatically
contact = Contact(
    last_name="Doe",
    first_name="John",
    middle_name="William",
    email="[e-mail]",
    phone="[phone]",
    birthday="1990-01-15",
    nickname="Johnny",
)

# Or from a dictionary
contact = Contact.from_dict({"last_name": "Doe", "first_name": "John"})

# vCard versions
VCardVersion.V3_0  # vCard 3.0 (RFC 2426)
VCardVersion.V4_0  # vCard 4.0 (RFC 6350)

Requirements

• Python 3.9 or higher
• For CLI: typer (installed with csv2vcard[cli])
• For encoding detection: charset-normalizer (installed with csv2vcard[encoding])

License

MIT License - see LICENSE.txt