clockinface-api-docs

ClockInFace API Documentation

Facial Recognition Attendance & Biometric Identity

This site provides technical documentation for the ClockInFace Facial Recognition Attendance API.

ClockInFace is a production-ready REST API for building employee attendance systems, biometric clock-in / clock-out workflows, and identity verification platforms based on facial recognition.

This documentation is written for developers, architects, and system builders who want to understand how the API fits into real-world biometric systems.

What Problem Does the API Address?

Traditional attendance systems rely on badges, PINs, or physical devices that are easy to share, forget, or misuse.

The ClockInFace API enables face-based attendance by providing:

Identity verification using facial recognition
Secure, API-driven clock-in and clock-out workflows
Centralized backend control for biometric systems
Support for multi-location and multi-device deployments

The API is designed to integrate cleanly into existing workforce management or access control platforms.

Core API Capabilities

The ClockInFace API exposes REST endpoints for:

Facial recognition and identity matching
Registering persons with face images
Managing face embeddings
Attendance-ready identity verification workflows
Secure token-based authentication

All endpoints are accessed over HTTPS and return JSON responses suitable for backend services, web applications, mobile apps, or embedded systems.

Typical Integration Scenarios

Developers use the ClockInFace API to build:

Employee attendance tracking systems
Biometric clock-in / clock-out applications
Facial recognition access control
On-site workforce validation tools
Multi-branch or distributed attendance platforms

This documentation focuses on system design and integration, not on UI or device-specific implementations.

API Examples and Interactive Demo

Runnable examples and demos are maintained separately from this documentation.

👉 ClockInFace API Examples (GitHub Repository) https://github.com/clockinface/clockinface-api-examples

The examples repository includes an interactive Google Colab notebook that demonstrates:

Bearer token authentication
Person registration with face images
Facial recognition for known and unknown identities
Listing persons and face embeddings
End-to-end attendance identity flows

No local environment setup is required to run the demo.

API Endpoint Overview

Base URL https://backend.clockinface.com/api/v1/

The API follows standard REST conventions and is designed to be consumed from server-side applications that implement business rules and attendance policies.

Official website and platform overview
👉 https://clockinface.com
Runnable API examples and demos
👉 https://github.com/clockinface/clockinface-api-examples

Design Principles

ClockInFace is built around a small set of explicit principles:

Explainable behavior instead of opaque black-box decisions
Backend control rather than locked client-side SDKs
Production focus, not demo-only workflows
Developer-first documentation

These principles make the API suitable for long-term, real-world biometric attendance deployments.

Getting Started

If you are evaluating or implementing a facial recognition attendance system:

Review this documentation to understand the system architecture
Explore the API examples repository
Run the interactive Google Colab demo
Integrate the API into your backend services

This documentation site serves as the conceptual and architectural reference for the ClockInFace API.