ScreenTimerAI

ScreenTimerAI is a screen time tracking application for macOS that transforms invisible time leaks into intentional productivity. It provides real-time visibility into digital habits with detailed statistics and custom groupings to optimize time management.

★★★★★

5.0(1 ratings)

• Real-time tracking. Continuous monitoring of application and website usage with instant updates. The system captures every interaction with the computer and displays activity data without delays. Users observe exactly how they distribute their time during a work session.
• Detailed statistics by application. Comprehensive analysis of time spent in each program and software category. Reports show time distribution by individual applications with daily, weekly, and monthly usage metrics. Data includes percentages and absolute usage times.
• Custom groupings. Creation of custom categories for specific projects or activity types. Users define sets of applications related to clients, tasks, or distraction areas. This organization allows for segmented analysis based on personal productivity criteria.
• Identification of productive hours. Detection of periods of maximum concentration and efficiency during the day. The algorithm analyzes historical patterns of focused work versus distracted time. Results show time windows with higher cognitive performance for scheduling demanding tasks.
• Smart distraction alerts. Contextual notifications when counterproductive usage patterns are detected. The system identifies transitions towards distraction applications during designated work periods. Alerts provide immediate awareness of automatic procrastination behaviors.
• Personalized productivity metrics. Definition of performance indicators based on ratios of productive versus distracting applications. Users set time goals for specific categories and monitor compliance. Dashboards show progress towards established time management goals.
• Complete activity history. Permanent archive of all work sessions with search and filtering capabilities. Logs retain detailed information about usage patterns over months and years. This historical base enables longitudinal analysis of digital habit evolution.
• Exportable reports. Generation of documents in standard formats with activity summaries. Users compile selected data into CSV or PDF files for external processing. Export facilitates advanced analysis and presentation of results to third parties.
• Focus mode. Configuration of uninterrupted work periods with compliance monitoring. During these sessions, the system records deviations towards unauthorized applications. The mode helps maintain focus on critical tasks by minimizing digital interruptions.
• Time trend analysis. Evaluation of changes in usage patterns through periodic comparisons. Evolution graphs show progression in digital habits week by week or month by month. This functionality detects improvements or deteriorations in time management.
• Automatic application classification. Intelligent categorization of software by activity type and distraction potential. The system assigns each program to predefined groups such as productivity, communication, or leisure. This organization facilitates aggregate analysis without extensive manual configuration.
• Configurable time goals. Setting time limits for application categories or specific programs. Users define daily or weekly time budgets for different types of activity. The system notifies when approaching or exceeding these established limits.

ScreenTimerAI began its development in 2021 as a personal project to solve time management problems in macOS environments. The creators, independent developers specializing in productivity applications, identified limitations in existing activity tracking solutions. Programming was done entirely in Swift using native Apple frameworks to ensure optimal integration with the macOS ecosystem. The first public version was released in 2022 after extensive testing and refinement periods based on feedback from initial users.

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