Attendance management software records when each person starts and stops work, then converts those records into payable time. It combines a capture method such as a biometric device, mobile app, web punch or access card, a rule layer for shifts and overtime, and an export payroll can consume. Accuracy at capture matters more than the dashboard above it.
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It records when each person starts and stops work, then converts those records into payable time. Three layers do the job. Capture takes a punch from a biometric device, a mobile app, a web login or an access card. Rules hold shifts, week-offs, grace windows, break deductions and overtime treatment. Output produces a monthly muster and a file payroll can consume. Everything else, meaning late-mark reports, manager views and charts, sits on top of those three. Capture accuracy dominates the buying decision for a blunt reason: a wrong punch becomes wrong pay, and wrong pay becomes a ticket from someone already annoyed. Fixing it costs far more attention than the original entry ever did. If you are mapping where this module sits beside the rest of core HR, the HRMS overview covers the neighbouring pieces and how they hand data to each other.
Match the method to where people actually are. Fingerprint readers are cheap and familiar, and they struggle with worn or wet fingers on a shop floor. Face terminals avoid contact and cope better with manual work, but need decent lighting and careful enrolment. Access cards are fast, and easy to lend to a colleague, which is exactly the problem. Mobile punch with geolocation suits field sales, service engineers and site supervisors, and it moves the argument to battery life, indoor location accuracy and what happens when someone punches from a basement. Web punch is fine for desk teams already logging into a laptop. A shared kiosk covers people without company phones. Most Indian SMBs end up running two or three methods side by side, which is normal and workable. What matters is that all of them land in one attendance record rather than three.
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Start with how work is scheduled, not with the software. A fixed shift needs a start time, an end time, a break and a grace window. A rotating roster needs a pattern, a cycle length and a publishing date, so people know next week before it arrives. Night shifts crossing midnight are where systems quietly break, because the punch-out belongs to the previous calendar day and the day it is paid against has to be decided once and applied consistently. Weekly offs may be fixed, staggered by team, or rotated with the roster. Add shift allowances, swap requests between colleagues and half-day patterns, and the configuration surface grows quickly. Write your current rules down before any demo. Vendors will happily configure what you describe; nobody can configure what you never wrote down, and finding the gap during your first live cycle is expensive.
Decide the trigger first. Extra hours can start after daily shift hours, after a weekly total, or only for work on a weekly off or declared holiday. Pick one primary rule, write the exceptions beside it, and stop there. Then settle rounding, because minutes are where trust goes: a system that rounds down every day and never up will be noticed inside two cycles. Decide whether extra hours need approval before they are worked or after they appear, and who may approve them. Decide whether they are paid or converted into compensatory off, and how long that compensatory off stays valid. Cap the total so a runaway month cannot surprise finance. Treatment varies by state, establishment type and worker category, and the rules change, so confirm your current position with your compliance advisor or finance team before you encode anything.
An exception is any day the system cannot price on its own: a missing punch, a single punch, a punch outside the permitted location, a terminal that was down, an unexplained absence, an early exit. Each one stops payroll until a person resolves it. Regularisation is that resolution, where the employee explains, the manager confirms and HR closes it. The workflow matters more than the feature list. Set a cut-off date that sits well before payroll input closes, and hold to it. Show managers ageing items rather than a flat undated list. Escalate anything nobody has touched. Track how many exceptions each team generates, because one team producing most of them usually has a failing device, a wrong roster or a supervisor punching for the crew. Give employees their own balance and pending items through an employee self-service portal, or the HR inbox becomes the queue.
Run your hardest month through the trial rather than a clean one, because a clean month proves nothing. Take a real night shift crossing midnight, someone who changed shift mid-month, one joiner, one leaver, a holiday landing on a weekly off, and a day a terminal was offline. Then ask to see the payroll export file itself rather than the dashboard, because that file is the actual deliverable. Check whether the devices you already own are supported before you replace hardware you paid for. Ask what happens when the network drops: does the terminal buffer punches and sync later, or lose them entirely. Ask how a mid-month policy change is applied, retrospectively or forward only. Confirm how contract and third-party staff are treated if you engage any. Finally, check the handoff into payroll management, since data payroll cannot consume cleanly is only a report.
Four failures repeat, and none of them are really software problems. The policy drifts, because someone changes a grace window in a group chat and never in the system, so practice and muster disagree by month three. The devices decay, because nobody owns cleaning, firmware or the network reaching them, and a dead reader becomes a paper register nobody reconciles. Approvals go blind, because managers clear a long queue in one click and turn a control into paperwork. And the edges stay invisible, meaning drivers, security and housekeeping staff who sit outside the system while still costing money. Assign one named owner for configuration, review exception volume by team monthly, and re-check the rules whenever a location, shift pattern or headcount band changes. If statutory record-keeping is also on your mind, HR compliance in India covers what has to be held and who confirms it.
| Capture method | Best suited to | What it needs | How it fails |
|---|---|---|---|
| Fingerprint reader | Factory, warehouse and single-site office teams | A clean sensor and re-enrolment for worn prints | Wet, dusty or worn fingers cause repeated failed reads |
| Face recognition terminal | Manual work where hands are gloved or soiled | Consistent lighting and a careful enrolment pass | Poor light and a rushed enrolment set produce misreads |
| Access or RFID card | High-footfall entrances and visitor-heavy sites | Issue, replacement and deactivation processes | Cards get lent to colleagues, so presence proves little |
| Mobile app with geolocation | Field sales, service engineers, site supervisors | Location permission, battery and a defined radius | Indoor and basement accuracy drifts outside the radius |
| Web punch from a laptop | Desk and hybrid teams already logging in daily | A device policy and a network the employee controls | Proves a login happened, not presence at a place |
| Shared kiosk or tablet | Teams without company-issued phones | A supervised spot and a fast unlock method | Queues at shift start push people into a late mark |
| Manual entry by HR | Outages, new sites and short-term exceptions | A written approval trail behind every entry | Becomes the default and the record thins out |
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