FaceClock - Time Tracking

Content rating
Everyone
10+
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Content rating
Everyone
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About this app

FaceClock is an offline employee time tracking app that uses on-device facial recognition to verify attendance. No cloud services, no internet connection, no data leaving your device.

HOW IT WORKS
• Point the camera at an employee and tap Capture
• FaceClock recognizes the face and auto-suggests check-in or check-out based on shift history
• Shift records with timestamped photos are saved locally

KEY FEATURES
• Face Recognition — powered by on-device AI. No server calls, no API keys needed
• Fully Offline — works without internet. All data stays on the device
• Auto Check-in/Check-out — smart suggestions based on open shifts and configurable max shift duration
• Photo Proof — each clock-in and clock-out is saved with a timestamped photo
• Employee Management — add up to 30 employees, rename or delete at any time
• Shift History — browse, search, and review all shifts with photos
• Auto Cleanup — shift records older than 90 days are automatically deleted
• Configurable — adjust max shift hours, button timeout, and screen-on behavior

PRIVACY FIRST
• All data (photos, face embeddings, shift logs) is stored exclusively on your device
• The app requests no internet or network permissions
• The developer has zero access to your data
• Biometric data is never transmitted, sold, or shared

IDEAL FOR
• Small businesses and retail shops
• Warehouses and workshops
• Restaurants and cafes
• Any workplace that needs simple, private attendance tracking without monthly fees or cloud subscriptions
Updated on
May 2, 2026

Data safety

Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time.
No data shared with third parties
Learn more about how developers declare sharing
No data collected
Learn more about how developers declare collection

What’s new

- Updated UI design
- Export shift reports to PDF with photos