Csv To Vcf [better]

Because CSVs use commas to separate columns, having a comma inside a data field (e.g., a company name like "Acme, Inc.") can confuse the parser, splitting one contact into two broken halves. To fix this, open your CSV in Excel and Save As a "CSV UTF-8 (Comma delimited)" file, which usually handles special characters and punctuation correctly, or ensure the problematic fields are enclosed in double quotes ( "Acme, Inc." ).

python csv_to_vcf.py contacts.csv -o my_contacts.vcf csv to vcf

def add_photo(self, contact: Dict, photo_path: str) -> str: """Add photo to vCard (base64 encoded)""" import base64 with open(photo_path, 'rb') as f: photo_data = base64.b64encode(f.read()).decode('utf-8') return f"PHOTO;ENCODING=b;TYPE=JPEG:photo_data" Because CSVs use commas to separate columns, having

return '\n'.join(vcf_lines)

Converting (vCard) is a essential process for anyone needing to migrate large contact lists between different platforms, such as moving Excel spreadsheets to an iPhone, Android, or Google Contacts . While CSV files are excellent for data organization, VCF is the global standard for electronic business cards, supporting rich data like photos, audio clips, and structured fields that CSV often lacks. Why Convert CSV to VCF? While CSV files are excellent for data organization,

# Write VCF file try: with open(output_file, 'w', encoding='utf-8') as f: for i, contact in enumerate(contacts, start=1): vcf_card = self.create_vcf_card(contact, i) f.write(vcf_card) if i < len(contacts): f.write('\n')

if not contacts: print("No valid contacts found in CSV file") return 0