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Paperless Post: Invitations

Paperless Post: Invitations

Paperless Post

Lifestyle免费v8.27
App Store
评分

4.8

125,364 条评分

星级

★★★★★

最近更新

2026年5月15日

发布日期

2012年2月22日

更新内容

v8.27

- Bug fixes and optimizations

应用信息

开发者
Paperless Post
分类
Lifestyle
价格
免费
版本
8.27
App ID
489940389

简介

Get everyone together with our online invitation maker and event management platform. Choose between classic stationery-inspired Cards or textable event page Flyer invites, customize everything in minutes, send your way (email, text, or Shareable Link), and track RSVPs all in the app. No ads, ever! **Featured as Apple App of the Day and in Vogue, The New York Times, and Fast Company** - Browse thousands of best-in-class invitations and greeting cards, or upload your own - Customize with fonts, colors, images, GIFs, stickers, envelopes and liners, stamps, and backdrops - Add event details without cluttering your invitation using informational Blocks - Collect helpful information with Guest Questions and Surveys - Connect your contacts list to add recipients in seconds - Send via messaging apps and social media with shareable invitation links - Manage your guest list with Guest Tags and send updates directly - Seamlessly check guests into your event on-site ONLINE INVITATION TEMPLATES FOR ANY OCCASION • Baby Shower Invitations • Casual Birthday Invites • Kids’ Birthday Invitations • Bridal Shower Invitations • Wedding Invitations • Bachelorette Invitations • 1st Birthday Invitations • Cookout Invitations • Pool Party Invitations • Wedding Shower Invitations • Anniversary Party Invitations • Company Party Invitations • Graduation Invitations • Christmas Party Invitations • Professional Event invitations • Bar & Bat Mitzvah Invitations • Save the Dates • Milestone Birthday Invitations Loving the app? Leave a five-star review! Questions? Contact us at help@paperlesspost.com. We look forward to helping you.

下载量预测

专业 · 预览

预估总下载量

9.3M6.3M17.9M
保守估计乐观估计

36K

低 / 月

54K

预估 / 月

104K

高 / 月

基于125,364 条评分
假设评分率1.4%
应用年龄173 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。