Skip to content
Back to the index

Domi:Teman Catat Uang

App StoreExpenses & budgeting🇺🇸

No liveness check has reached it yet; it is registered on the App Store and has been in the index since 14 Oct 2026. How this is checked

Domi helps users record expenses and income using natural-language text, voice, receipt photos, Siri Shortcuts, widgets, and sharing. It provides category budgets, cash-flow reports, spending comparisons, personal-finance questions, and daily summaries without requiring an account to start.

Inferred · not functionally tested

FreeiOSEmbeddable
Visit App Store

Overview

6 features

Purpose: Tracking everyday spending and understanding personal cash flow without lengthy forms.

Inferred · not functionally tested

Audience: Indonesian consumers managing personal finances

Inferred · not functionally tested

Functions: analytics

Inferred · not functionally tested

Interfaces: API: unknown · MCP: unknown · CLI: unknown · Self-hosting: unknown

Recorded constraints: pricing: free · license: Proprietary · platforms: MOBILE · deployment: ios, embeddable

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: apps.apple.com. These links do not verify the individual claims.

Domi:Teman Catat Uang is an Expenses & budgeting project. Inferred · not functionally tested: It focuses on tracking everyday spending and understanding personal cash flow without lengthy forms. Inferred · not functionally tested: It is built as a consumer product for indonesian consumers managing personal finances. Basis unknown · not verified: Domi:Teman Catat Uang costs nothing to use. Basis unknown · not verified: It ships for iOS and embeddable surfaces.

Ari Padrian builds and maintains Domi:Teman Catat Uang, and it first shipped in 2026. Inferred · not functionally tested: Key capabilities include natural-language entry, voice entry, and receipt scanning.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Natural-language entry
  • Voice entry
  • Receipt scanning
  • Siri Shortcuts
  • Home-screen widgets
  • Share sheet

Topics: Inferred · not functionally tested

Tags
expense-trackingbudget-planningreceipt-scanningvoice-entrycashflow-insights
AI capabilities
TextAudioImage
Inference: Cloud API

JSON profile · Text profile · Access guide

Built with & integrations

Runs on
iOSEmbeddable

Trust & compliance

Public signals
HTTPSFree tierStore listing found

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed14 Oct · 13:19 UTC
    Domi:Teman Catat Uang seen via Apple App Store — New Apps (RSS)
    Source: Apple App Store — New Apps (RSS) · Open

Frequently asked questions about Domi:Teman Catat Uang

What does Domi:Teman Catat Uang do?
Inferred · not functionally tested: Domi:Teman Catat Uang focuses on tracking everyday spending and understanding personal cash flow without lengthy forms. It is catalogued under Expenses & budgeting on PulseGate.
Who should use Domi:Teman Catat Uang?
Inferred · not functionally tested: Domi:Teman Catat Uang is a consumer product built for indonesian consumers managing personal finances.
Does Domi:Teman Catat Uang have a free plan?
Basis unknown · not verified: Yes — Domi:Teman Catat Uang is free to use.
What platforms does Domi:Teman Catat Uang run on?
Basis unknown · not verified: Domi:Teman Catat Uang runs on iOS and embeddable surfaces.
Is Domi:Teman Catat Uang still active?
Unverified. Domi:Teman Catat Uang has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What are alternatives to Domi:Teman Catat Uang?
Similar projects tracked by PulseGate include Zivy, 세상 쉬운 가계부, and Deby - Debts IOU Money Manager.Zivy세상 쉬운 가계부Deby - Debts IOU Money Manager
Who develops Domi:Teman Catat Uang?
Domi:Teman Catat Uang is developed by Ari Padrian, based in the United States.
When did Domi:Teman Catat Uang launch?
Domi:Teman Catat Uang first shipped in 2026.

Also in Expenses & budgeting

Same category — not a similarity match