Home / Alternatives to Dots - The Bill Splitter Apps Like Dots - The Bill Splitter for iPhone and iPad
by Zijian Zhao ★ 5.0 7 ratings Productivity Free Data updated 2026-09-06
Dots - The Bill Splitter screenshots Ranked alternatives Showing 741–760 of 1,000 ranked alternatives.
Marcello Brocato
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
GAFIA TECHNOLOGIES LIMITED
★ 0.0 0 ratings Finance Free Data updated 2026-09-06
TOPUPMATE TECHNOLOGY LIMITED
★ 0.0 0 ratings Finance Free Data updated 2026-09-06
TOPUPMATE TECHNOLOGY LIMITED
★ 0.0 0 ratings Finance Free Data updated 2026-09-06
GAFIA TECHNOLOGIES LIMITED
★ 0.0 0 ratings Finance Free Data updated 2026-09-06
Harp Software LLC
★ 5.0 1 ratings Productivity Free Data updated 2026-09-06
Eric Sonnen
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
INFINITY BANK
★ 5.0 1 ratings Finance Free Data updated 2026-09-13
Femi Aliu
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
hien hang
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
Curvachip LLC
★ 5.0 1 ratings Finance Free Data updated 2026-09-06
kinley wangyel
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
AKHAND ANAND CO-OPERATIVE BANK LIMITED
★ 0.0 0 ratings Finance Free Data updated 2026-09-06
St. Clair County State Bank
★ 0.0 0 ratings Finance Free Data updated 2026-09-06
RJs Enterprises, Inc.
★ 5.0 1 ratings Finance Free Data updated 2026-09-18
AL-MAHFZA, LLC
★ 5.0 1 ratings Finance Free Data updated 2026-09-06
DigitalKind Ltd
★ 5.0 1 ratings Finance Free Data updated 2026-09-06
Beyond Margins Bookkeeping Inc
★ 0.0 0 ratings Finance Free Data updated 2026-09-06
Noel Geren
★ 0.0 0 ratings Utilities $2.99 Data updated 2026-09-06
David Akerman
Scan bills, detect errors, get refunds
Upload a photo of a medical to scan for errors and overcharges. AI identifies potential issues and provides a breakdown of the actual amount owed. Users can challenge unfair charges and request refunds.
★ 0.0 0 ratings Finance Free Data updated 2026-09-06
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
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