Apps Like Work Log - Shift Tracker for iPhone and iPad
Track hours, expenses, and wages
Track shifts and calculate hours worked and wages earned. Log expenses, tips, mileage, and overtime. Record premium hours, holiday pay, bonuses, and deductions. Automatically track breaks and save time with streamlined features.
Work Log - Shift Tracker screenshots
Ranked alternatives
Showing 461–480 of 1,000 ranked alternatives.


My Overtime (MO)
Daniel Gubler
Manage daily hours and surplus time.
The app tracks daily hours against standard hours to calculate surplus hours. Users can define activities, set up working days using templates, and track vacation allowance and overtime payments.

TimeStamps - Time Recording with Ease
Oliver Jourdant
Track working hours and overtime easily.
The app displays current time, working time, and break time. It offers a flextime account for overtimes and allows for automatic deduction of breaks.



MystShow - Get your AI videos
思楠 黄
Edit photos with light and shadow effects
Upload a single photo to generate AI-powered with light and shadow effects. Apply layered lighting to dark areas and soften bright spots with texture. Transform images into dynamic with fantasy interactions and styling changes.


HubProLITE
Hub Group, Inc.
View loads, confirm work, chat with manager
View pre-plans, completed loads, and work verification. Confirm work verification and chat with managers. Check settlements, pay slips, and work hours. Receive alerts for CDL expiration.




ReadApp - Read Web Aloud
杏娣 吴
Articles with one click
Articles by converting webpage text to audio with one click. Supports 20+ languages and adjustable voice speed. Play audio through Airplay. Works on various websites.

ShiftPass
ShortStaff Inc.
Post shifts, manage hires, track availability
Post open shifts with pay details and requirements. Access verified candidates with ratings. Communicate, schedule, and confirm hires within the . Track employee reliability and invite recurring hires.







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