Apps Like Travel Split for iPhone and iPad
Ranked alternatives
Showing 281–300 of 1,000 ranked alternatives.



Travel Monster 自由行旅遊必備知識攻略
Kkday.com International Company Limited
Explore destinations, save notes, plan trips
Explore guides for major Asian and global cities including Seoul, Bangkok, Tokyo, and more. Watch videos for quick overviews, read detailed text, and save personalized notes.

Fairsplit: Split the Bill
Roman Silin
Bills and generate reports
Track expenses and bills among group members. Calculate individual contributions based on shared costs. report showing who owes whom and how much. Set reminders for payments and view transaction history.

Split Travel Guide and Offline City Map
eTips LTD
Navigate with zoomable maps
Navigate with zoomable maps covering entire regions. Access interactive points of interest including public transport, restaurants, and hospitals. View shopping guides, nightlife options, and tips.








Splitly: Snap and Split Bills
Prateek Karnal
Expenses with receipt scans
Track shared expenses by snapping receipts and splitting costs automatically. Assign line items, calculate fair shares, and settle debts with AI accuracy. Support multiple groups and trips.

Vardan Travel
Vardan Sargsyan
Join trips in one click
Check tour details including dates, program, and description. Choose and reserve a seat on the tour bus. Select a destination and book trips with pre-organized packages.

Nightfall Travel
jonathan javier peralta
Book stays and attend exclusive events
Book luxury accommodations with curated rental options. Access exclusive events such as galas and fashion shows. Receive personalized recommendations and itinerary planning assistance.




SplitTab - Share & Split Bills
Benevolent Tech Company LLC
And receipts
Allows users to capture and restaurant via photo. Users can input payment usernames for Venmo, Cash , Zelle, and others. Friends receive a link to pay their through the . Payments are tracked and automatically.

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