返回榜單
Splid – Split group bills

Splid – Split group bills

Nicolas Jersch

Finance免費v1.9.1
App Store
評分

4.9

3,638 則評分

星級

★★★★★

最近更新

2026年5月4日

發佈日期

2016年5月14日

更新內容

v1.9.1

Thank you so much for your helpful feedback and the superb ratings. This helps me to make Splid better with every new release. New in this version: - A fresh look on iOS 26 - Expenses are now grouped by date - A number of smaller improvements

應用資訊

開發者
Nicolas Jersch
分類
Finance
價格
免費
版本
1.9.1
App ID
991473495

簡介

Perfect for holidays, housemates or your relationship, Splid helps you to stay on top of your expenses and settle up in an easy, relaxed way. No more fiddling about with change, lost receipts, or disagreements about the balance. Simply enter all your expenses and Splid shows you who owes how much to whom. And the best thing: Splid works on and offline. Create an offline group and get settling up under control within seconds. Or, activate the sync to enter expenses together. It's simple, and there's no sign-up required. Even complicated bills can dealt with quickly and easily with Splid: – Emma paid the supermarket bill but Leo contributed $10? No problem. – Your expenses are in dollars but you want to settle up in euros? Done.  – Hannah had two more drinks than everyone else? Easy-peasy.  All features at a glance: (+) Clean interface that's super easy to use. (+) Share groups online (no sign-up needed). (+) Also works perfectly offline. (+) Download summaries as PDF or Excel* files that are easy to understand. (+) Choose from more than 150 currencies and let Splid automatically convert the amount. (+) Handles even complicated transactions (for example, adding multiple payees or splitting bills unequally). (+) You'll handle as few payments as possible because Splid always finds the easiest way to settle up.  (+) Find out how much your group has spent in total. *Excel export available via in-app purchase.

下載量預測

專業 · 預覽

預估總下載量

485K364K728K
保守估計樂觀估計

3K

低 / 月

4K

預估 / 月

6K

高 / 月

基於3,638 則評分
假設評分率0.8%
應用年齡122 個月

基於評分數量 ÷ 類別評分率估算,實際下載量誤差可達 ±50%。