import csv, vobject with open('contacts.csv') as f: for row in csv.DictReader(f): v = vobject.vCard() v.add('fn').value = row['Full Name'] v.add('email').value = row['Email'] with open(f"row['Full Name'].vcf", 'w') as out: out.write(v.serialize()) Convert .wab Into The .vcf .csv .txt .vdic For Mac

Here’s a structured concept for a technical paper or guide titled:

cat contacts.csv | tr ',' '\t' > contacts.txt Define .vdic as JSON-like key-value per contact: import csv, vobject with open('contacts

Batch import into macOS Contacts. Simple comma/tab-separated text:

[contact] name = John Doe email = john@example.com phone = 1234567890 Generate with: ' '\t' &gt