Apps Like OZZ- Digital Business Card for iPhone and iPad
OZZ- Digital Business Card screenshots
Ranked alternatives
Showing 641–660 of 1,000 ranked alternatives.


Business Card Reader, Scanner
Abdulla Yasin
Scan cards, save contacts, sync data
Scan cards and conference badges to extract contact information in 7 languages. Save data to device contacts or storage. Add contacts to iPhone address book. Create and merge contact entries.



35mmScanLite- Document Scanner
Grepix Infotech Private Limited
Scan documents and share them online
Scan documents using phone camera to capture receipts, notes, invoices, business cards, and certificates. Automatically crop and enhance scanned images for clarity. Share JPEG files directly to social media platforms.





CogoCards
CoGoCards Pty Ltd
Share contact info securely and instantly
Create and share digital business cards with customizable designs and contact information. Edit card details, add logos, and manage contacts. Export cards as PDF or image files and share via email or social media.


QuickScan: PDF Scanner Offline
CHINAR MAHMUDOVA KORUK
Scan documents, convert to PDF, share files
Convert images into professional PDF documents with intelligent conversion. Scan ID cards and driver's licenses on a single page. Automatically detect and align documents with high precision. Import and edit existing PDFs.




DairyTech Connect
ITE Eurasian Exhibitions FZ LLC
Scan badges, exchange contacts, save details
Exchange contact details by scanning badges of participants and visitors. Save contact information within the . Process received contacts. Receive recommendations for interested companies. Arrange meetings at the exhibition.

VisitingBook
VisitingBook Private Limited
Check in visitors and manage data
Visitors scan QR codes to check in, providing name, contact info, and purpose. Data is stored securely in the cloud. Admins manage access, generate reports, and receive alerts. Check-in history is accessible from any device.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.