Apps Like 映聊-视频聊天交友 for iPhone and iPad
映聊-视频聊天交友 screenshots
Ranked alternatives
Showing 41–60 of 467 ranked alternatives.


图曰 - 人人均可创建NFT
Beijing Sunsoul Media Co., Ltd.
Post NFTs, share content, trace origins
Users can create and share NFTs for images, add AI-generated text, and edit photos with cropping, filters, and templates. They can build social profiles, link to other accounts, and access millions of images and text for commercial use.




二狗APP-单身青年自救平台
Fall In Love Technology Limited
Meet, chat, and connect securely
Social networking allows users to register with identity, education, and employment verification. Users can browse profiles of high-achieving singles, receive personalized matches, and engage in community discussions.




语玩-恋爱处cp交友软件
Guiyang Yuwan Science & Technology Co., Ltd.
Find people, chat, and connect
Connect with others through swipe-based matching or waiting for compatible users. Join chat rooms for group conversations, gaming, or music sharing. Create and customize 3D avatars in a virtual community.

河畔Lite
孙 许
Share posts, messages, and stories
Connect to the official university forum for campus life discussions. Share updates, participate in forums, and access automated quiz features. Use dark mode for reduced eye strain. Interact with peers and exchange information efficiently.



糖心社交
Shenzhen Weishang Zhimei Technology Co., Ltd
Connect with others through shared interests
Connect with others through interest-based matching and shared activities. Share videos and life moments for feedback. Participate in discussions and creative content. Ensure safety with identity verification and content moderation.

为你诵读-把好作品读好
Beijing Reading Culture Development Co., Ltd.
Record poems and read aloud with music
Record and playback voiceovers with background music. Choose from classic poems, news articles, and literary works. Access professional readings and tutorials. Share recordings in community. Practice for speech contests and art exams.





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