WorkFace is an offline-first attendance app. All biometric data stays on your device. No cloud uploads. No compromises on privacy.
Scanning Face
A complete solution that works offline, protects privacy, and makes attendance tracking effortless.
Lightning-fast on-device face detection with ML Kit. Punch in or out in under a second with built-in cooldown to prevent duplicates.
Track attendance patterns with daily stats and visual trend reports. Know your team's punctuality at a glance.
Export attendance records with employee number, name, and timestamp. Share via any app on your device.
Send attendance data to your HR system, Slack, or any service that accepts webhooks. Real-time sync when you're online.
Configure your endpoint and WorkFace sends JSON payloads automatically.
Get instant notifications when employees punch in or out.
Zapier, Make, n8n, custom backends - if it has a webhook, it works.
Events are queued locally and synced when connection is restored.
{
"event": "punch",
"employee_id": "EMP001",
"employee_name": "John Doe",
"type": "check_in",
"timestamp": "2026-01-13T09:00:00Z",
"device_id": "workface_001"
}
We built WorkFace with privacy as the foundation. All face recognition happens on your device using Google ML Kit. Nothing is uploaded to any server.
Face templates stored in an encrypted database on your device only.
No internet required for face recognition. Perfect for secure environments.
Full control over your data. Export or delete anytime.
Simple setup, instant results. No complex configuration required.
Get WorkFace from the Play Store and sign in with Google.
Quick face capture creates your secure on-device template.
Just look at your phone. Recognition takes under a second.
View reports and export attendance data anytime.