Apps Like Cleanup Duplicate Contacts! for iPhone and iPad
Suggest and merge contacts
Identify and remove contacts. Automatically suggest contact updates based on changes in phone number, email, company, job title, or location. Merge duplicates and manage contact groups. Export cleaned contacts to email or cloud storage.
Cleanup Duplicate Contacts! screenshots
Ranked alternatives
Showing 661–680 of 1,000 ranked alternatives.
DTMF Dial
iPhonso GmbH
Dial iPhone contacts on other phones.
The app allows users to dial phone numbers from their iPhone contacts on landline and pay phones. Users select a contact, hold their iOS device near the mouthpiece, and press Dial.
Duplicate Photos Cleaner Fast
Viren Baid
Delete duplicates and free up space
Identify and remove automatically. Group similar images for easy deletion. Free up storage space by eliminating redundant files. Organize photo library with one-tap actions.
Duplicates Cleaner
Yurii Kobets
Find and remove duplicate files.
The app finds duplicate and large files. It offers an intuitive interface for locating duplicate files and includes features like automatic duplicate selection and safe deletion.
Smart Phone Cleaner
Shrishail Rana
Clean up files and free storage space
Identify and remove duplicate files, including similar photos, videos, and screenshots. Delete old calendar events and contacts. Compress media without quality loss. Backup and restore contacts. Free up storage space.
Contacts Journal CRM
zaal LLC
Manage relationships and organize contacts.
The app helps users manage relationships by tracking conversations, organizing contacts with tags and filters, and storing notes and files. It allows users to plan meetings, create email templates, and maintain a private address book.
Contact Mailer
Piet Jonas
Email contact details from address book.
The app creates an email using contact details from the user's address book. Users select a contact and choose which details to include before generating the email content.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.