About
Easily create trendy selfies and viral videos with popular templates and comic-style filters. Effortlessly change backgrounds to place yourself in any scene. Unlock all features with a premium subscription.
What's New in 天天秀
1.3.2
May 22, 2024
版本更新： - 修复近期用户反馈的问题
Subscription plans
高级会员
周订阅
Developer apps
FAQ
What is 天天秀?
天天秀 is a video and photo editing application that offers popular video templates, comic-style filters, and the ability to change backgrounds. It aims to help users create trendy selfies and viral videos with ease.
What are the subscription options for 天天秀?
天天秀 offers two tiers: Ordinary Member and Premium Member. Ordinary Members have access to all features except custom video templates. Premium Members have access to all in-app functions. Subscription plans include weekly, monthly, and annual options for both tiers, with prices varying based on the plan and tier.
How much does a subscription to 天天秀 cost?
Subscription costs vary by tier and duration. For Ordinary Members, weekly subscriptions are around $4.99, monthly around $9.99, and yearly around $168. For Premium Members, weekly subscriptions are around $6.99, monthly around $19.99, and yearly around $298. Exact pricing may vary.
Does 天天秀 have ads?
Based on the provided data, 天天秀 does not appear to have advertisements. The monetization model is freemium, relying on subscription services for revenue.
What devices does 天天秀 support?
天天秀 is supported on iPhones and iPods. The app is rated for users aged 17 and older.
How often is 天天秀 updated?
The latest version of 天天秀 is 1.3.2, which was last updated on May 22, 2024. This indicates relatively frequent updates to the application.
What are the main benefits of 天天秀?
The primary benefits of 天天秀 include its easy-to-use popular video templates for creating viral content, its unique comic-style filters for transforming images, and its background replacement feature for creative photo editing.
What is the user sentiment for 天天秀?
The app has a high rating of 5.0 stars from 1 rating, suggesting positive initial user sentiment. However, with only one rating, this sentiment may not be representative of a larger user base.
