Apps Like Ferve: Couples & Relationship for iPhone and iPad
Ferve: Couples & Relationship screenshots
Ranked alternatives
Showing 121–140 of 1,000 ranked alternatives.



Kama: Intimacy & Connection
PROJECT 3000 LIMITED
Connect with experts and track progress
Access guided programs and expert-led tutorials for emotional and well-being. Track progress through personalized exercises and mindfulness practices. Connect with others through community features and support groups.


Vaffli: relationship & couples
Millenium Cloud Inc.
Understand moods, set boundaries, share needs
Track daily moods and emotional states to improve communication. Set and share personal needs and expectations. Complete quizzes to reflect on dynamics and gain insights. Receive prompts to stay connected and mindful of each other's emotional needs.



Flirtonic: AI Dating Assistant
Mohammed Olappilan
Generate messages, pick styles, drive conversations
Provides an AI keyboard for apps. Users can generate flirtatious messages, choose from flirting, spicy, or casual styles, and use goal mode to guide conversations toward dates or meetups.


Couples Questions : Lovin
ERSAH ATMACA
Ask daily to connect with your partner
Helps connect through daily and shared prompts. Users can reflect on themes like gratitude and intimacy. They can track progress, set reminders, and share responses with their partner.



Spark Talk - AI English Tutor
SparkGenius AI Inc
Practice with AI
Practice with AI-powered conversation exercises. Record and receive feedback on pronunciation. Set speaking goals and track progress. Engage in interactive dialogues to improve fluency. Receive vocabulary suggestions and grammar corrections.






Lovli - Quiz for Couples
Pierre Delannoy
Chat with questions and share answers
Facilitates bonding through quizzes and debates. Users can answer relationship questions, engage in playful challenges, and share confessions. Features include themed conversations, interactive games, and prompts for deeper discussions.

How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.