AI Face Recognition Time Clock Software
Truein verifies a worker's live face and GPS location on every clock-in, on any Android or iOS device. If the face does not match, the clock-in is blocked on the spot. If the system detects a photo or a screen, the record is flagged and invalidated before payroll runs.















































Trusted by Workforces Across Industries
Feature Overview
Most products sold as face recognition simply photograph the worker at clock-in and file the image for someone to review later. That is documentation. Truein runs three AI checks on every clock-in. One of them, the identity match, can stop the clock-in as it happens; the other two flag a spoof or a risky pattern for review before payroll runs.

Benefits
A blocked clock-in never reaches your timesheet. A filed photo does.
Face answers who. GPS answers where. Truein can check both on the same clock-in.
Around 95 to 100% accuracy with hard hats, masks, facial hair, and changed hairstyles.

Printed photos, phone screens, and video replays are detected, flagged, and invalidated before payroll runs.
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Any Android or iOS phone or tablet becomes a clock-in point. New sites go live the same day.
Upgrade your attendance system with touchless, face-based accuracy, eliminating time fraud, improving compliance, and enhancing visibility.
Book A DemoTruein's AI liveness detection reads the live camera feed and looks for the signatures of a printed photo, a phone or tablet screen, and a replayed video. When it detects a spoof attempt, the record is flagged and invalidated on review, and the worker can be blocked from further clock-ins. In the default configuration this happens after the clock-in is captured, which means the attempt is caught before payroll runs rather than at the door. A failed face match, by contrast, blocks the clock-in on the spot.
This matters because face recognition is used to describe two different things. Some tools capture a face and verify it. Others capture a face and store it. Only the first can stop one.
Quick FAQ’s
Not without being caught. A photo or screen held to the camera is identified by Truein's AI-powered spoof detection, the record is flagged and invalidated, and the worker can be blocked from further clock-ins. A mismatched live face is blocked at the moment of clock-in itself and the attempt is flagged for manager review.
Yes. Accuracy runs around 95 to 100%, including with hard hats, masks, facial hair, and changed hairstyles.
Seconds. A worker self-registers with one selfie on site, or HR pre-uploads staff details for day-one clock-in.


Identity verification on its own cannot tell you a worker was on site. Truein pairs the face match with a GPS geofence, with a minimum configurable radius of 20 meters, roughly 65 feet. Each site, floor, wing, or zone can be fenced separately, which suits open job sites, campuses, and outdoor work.Enforcement is yours to configure. An out-of-boundary clock-in can be blocked outright, allowed with an alert to the supervisor, or routed for approval, so different crews can run different rules under one account.
Quick FAQ’s
From a 20 meter radius, roughly 65 feet. Each site, floor, wing, or zone can be fenced separately.
Whatever you configure. Block it, allow it with a supervisor alert, or route it for approval.
No. Location is captured at the moment of clock-in, not continuously through the shift.
No. The category splits into two things: dedicated hardware you mount, wire, and procure for each site, and software that runs on the Android and iOS devices you already own. Truein is the second. There are no fingerprint scanners to buy, no wall-mounted terminals to procure, and no IT ticket to open before a new site goes live.
Mix them. A general contractor can run a kiosk at the main gate, personal-device clock-ins for subs working across the building, and supervisor-assisted clock-in for a day crew, all on one account.
Quick FAQ’s
Only where phones and tablets are not permitted on site. Everywhere else, a terminal adds procurement, wiring, and a per-site cost without adding verification.
Yes. The clock-in mode is configured per site, not per account.
Face verification runs in every mode. GPS-only clock-in on personal devices is available for specific configurations.
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Liveness and GPS stop fraud at the moment of clock-in. AI TimeGuard, Truein's built-in anomaly detection, continuously reviews time data across every site and, based on the risk signals enabled on your account, flags impossible travel sequences, identical clock-in timing across workers, geofence edge anomalies, abnormal overtime spikes, frequent timesheet corrections, and payroll-impacting edits.
Managers review the flagged exceptions rather than reading every timesheet. AI TimeGuard surfaces risk signals for human review; it does not guarantee a fraud-proof payroll.
AI Analytics sits alongside it, answering questions about attendance rates, overtime patterns, and correction frequency across sites without anyone building a report.
Quick FAQ’s
Location risk signals, time pattern deviations, and timesheet integrity risks such as frequent corrections and payroll-impacting edits.
Within the first payroll cycle.
No. They review the flagged exceptions instead.
Basements, elevator shafts, early-stage sites before connectivity is run, rural and remote work. Attendance capture never depends on network availability. Truein records the clock-in on the device, stores it locally, and syncs automatically when the network returns. Records captured offline are flagged as such so supervisors know what they are looking at.
One thing to be clear about: an offline clock-in appears in the dashboard after it syncs, not before. Real-time visibility applies to connected clock-ins.
Quick FAQ’s
No. The clock-in is captured on the device and stored locally.
Yes. Face matching runs on the device, so verification does not depend on the network.
They are flagged as “captured offline,” and they enter the dashboard once the device reconnects and syncs.
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Every option below records time. They differ on what happens at the moment of clock-in.
Truein is the option that verifies a live, correct face at the moment of clock-in on both personal devices and shared kiosks, and reviews clock-in patterns across every site before payroll runs.
Use an AI-powered face attendance system to keep your attendance process compliant, transparent, and free from time fraud.
Book A DemoAI face recognition time clock software is time tracking software that records employee work hours by verifying the worker's face at the moment of clock-in, rather than accepting a PIN, a badge, or a supervisor's word. The AI does two jobs: it confirms the camera is looking at a live person rather than a photo or a screen, and it matches that live face to the worker's enrolled profile before the clock-in is recorded.
The category covers two very different form factors. Dedicated terminals are mounted at a fixed entry point and procured per site. Software systems like Truein run on standard Android and iOS phones and tablets, which is what makes multi-site and field deployment practical. Most modern systems also pair the face check with GPS geofencing, because identity alone does not prove location.

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No US state bans it. Five states require documented consent before enrollment, and that consent process is the whole compliance question. Truein supports consent-first enrollment: when it is enabled, workers review and accept a recorded consent screen before any face data is captured. Collecting the consent stays the employer's obligation. Face data is stored as an encrypted face template, and raw images are stored only where the customer enables that setting.
Five states have biometric consent requirements that apply directly to workplace time and attendance.
Truein is ISO 27001:2022 certified and SOC 2 Type II compliant.
Time clock software that verifies a worker's live face at the moment of clock-in, using AI to confirm the face is real and matches the enrolled profile before the clock-in is recorded.
It does when a failed match blocks the clock-in. If the system only stores a photo for later review, it documents buddy punching rather than preventing it.
Not without being caught. Truein's AI liveness detection identifies a printed photo, a phone or tablet screen, or a video replay, flags the record, and invalidates it on review, and the worker can be blocked from further clock-ins. A mismatched live face, by contrast, is blocked at the clock-in itself.
Around 95 to 100%, including with facial hair, masks, hard hats, and changed hairstyles.
No. Truein runs on standard Android and iOS smartphones and tablets.
A face recognition time clock verifies identity and can block the clock-in. A photo-on-punch clock captures an image and leaves the verification to a person, after the fact.
Yes. Clock-ins are captured on the device and sync automatically when connectivity returns.
A configurable perimeter, from a 20 meter radius, is set around each site, floor, wing, or zone. Out-of-boundary clock-ins can be blocked, alerted, or routed for approval.
No. Location is captured at the moment of clock-in, not continuously.
ADP, QuickBooks, Paychex, Sage, Xero, and SAP, by API or FTP.
No. Truein produces payroll-ready reports and integrates with the payroll and HRMS tools you already run.
Yes. Multiple agencies run under one account with scoped access, per-agency headcount caps, and document expiry tracking.
Yes, with Activity Punch, which tags time to a job, task, or activity at clock-in.
No. Truein is a paid platform. See the pricing page for current plans.
Software setup is same-day. Where a site runs a shared tablet kiosk, that tablet has to be installed at the location.
Truein is India-headquartered with a dedicated U.S. office in New Jersey, serving clients across 25+ countries and more than 10,000 locations.
No. Truein is built for field, hourly, and multi-site workforces.
Face recognition matches a live face against an enrolled template to confirm identity. Liveness detection is a separate check confirming the camera sees a real person rather than a printed photo, a screen, or a replayed video. A time clock can do the first without the second, and that gap is what a determined buddy-puncher exploits.