Visma Employee app icon

Apps Like Visma Employee for iPhone and iPad

Access payslips, track expenses, send for approval,

Access payslips and receive automatic notifications for new ones. Register receipts and mileage expenses for approval. Track work hours, sick leave, and vacation requests. View payslip details on mobile. Submit expenses and time entries directly.

by Visma Software International AS★ 4.621 ratingsBusinessFreeData updated 2026-09-09

Visma Employee screenshots

Ranked alternatives

Showing 661–680 of 1,000 ranked alternatives.

  1. EZTime-Time Clock & Scheduling app icon

    EZTime-Time Clock & Scheduling

    EZTIME

    Track attendance and manage shifts

    Track attendance with GPS-based entry and exit logs, including location restrictions. Upload files or photos related to shifts, such as receipts. Manage work schedules and arrangements directly from the .

    ★ 3.73 ratingsUtilitiesFreeData updated 2026-09-14
  1. Cube - Time  & Expense Tracker app icon

    Cube - Time & Expense Tracker

    bitrzr, LDA

    Track client work and expenses.

    The app helps professionals and teams track time, expenses, and mileage. It organizes work by project, client, task, and tag, and generates reports from user data.

    ★ 0.00 ratingsBusinessFreeData updated 2026-10-07
  2. BusinessTravel Expense Track app icon

    BusinessTravel Expense Track

    SUPERNOVA TECH

    Track business travel expenses and invoices.

    The app tracks business travel expenses, allowing users to log costs for airfare, lodging, and dining. It can generate and send PDF invoices with attached receipts and supports iCloud syncing across multiple devices.

    ★ 5.01 ratingsBusinessFreeData updated 2026-11-09
  3. TripsWare app icon

    TripsWare

    Paragon Computer Solutions Inc.

    ★ 5.01 ratingsFinanceFreeData updated 2026-09-11
  4. WOWbuy HRM app icon

    WOWbuy HRM

    WOWBUY E-COMMERCE JOINT STOCK COMPANY

    ★ 0.00 ratingsBusinessFreeData updated 2026-09-06

How we rank alternatives

Apps are ranked by functional similarity, category fit, rating confidence, and popularity.