What problem does it solve? Manually retyping contact details from business cards, chat screenshots, or pasted text into a phone is error-prone and slow. This Skill parses names, phones, emails, companies, titles, addresses, and websites from messy input, lets the user confirm the fields, and produces a standard .vcf vCard ready to import into iOS Contacts or share. ## Core Features & Use Cases - Multi-source extraction: Parse contact info from plain text, OCR results of business card photos or screenshots (via apple-vision), and QR codes (MECARD, vCard, tel:, mailto:). - Clean vCard generation: A bundled Python script normalizes phone numbers (all exported as TEL;TYPE=CELL), escapes vCard fields, splits Chinese and Western names, and writes standards-compliant .vcf files. - Confirmation-first workflow: Extracted fields are shown for user review with uncertain values flagged before any file is generated; contacts are never imported directly without explicit confirmation. - Use Case: A user photographs a business card at a conference. The Skill OCRs the image, extracts the name, two phone numbers, email, and company, presents them in a table for confirmation, then outputs a shareable .vcf link. ## Quick Start Extract the contact information from this business card photo and generate a vCard file I can import into my phone.
