Prove your productivity without invasive monitoring tools. SnapSight automatically captures your work hours using local AI — your screenshots never leave your device, and you never touch a timesheet.
Flexible hours are great — until you need to account for them. These three gaps make remote time tracking harder than it should be.
When your manager can't see your desk, output gets measured by optics rather than actual work. Filing a manual timesheet at the end of the week is guesswork — and gut estimates rarely match reality, leaving you either overreporting or underselling your contribution.
Employer monitoring tools — screen recorders, keystroke trackers, camera snapshots — create a constant low-grade anxiety that makes deep work impossible. They measure presence, not progress. You need a way to document your time without handing over your privacy to a corporate surveillance dashboard.
By 5pm, you can barely remember what you did before lunch. Reconstructing a day of context-switching across Slack, docs, code reviews, and async standups is a 20-minute ritual that still produces inaccurate results — and yet it's the foundation your team relies on for billing, planning, and reporting.
SnapSight runs in the background while you work. No timers, no employer access, no cloud uploads — just an accurate record of where your time went.
SnapSight takes periodic screenshots while you work — automatically, in the background. You never interrupt your flow to log anything. Screen data stays on your device only.
A local AI model (Florence-2, running entirely on your machine) reads each screenshot and maps it to the right project or category. No cloud upload. No employer visibility. Your data is yours.
Pull a daily or weekly time summary broken down by project. Share what you choose — a clean time log that shows output, not surveillance footage. Use it for standups, check-ins, or your own self-management.
All AI runs locally. No screenshots are sent to the cloud — ever. See all features →
Wondering how automatic tracking stacks up against what you're using now? We broke it down.
Reads on how automatic tracking changes the way remote teams account for their time.
Why manual time entry fails and how screenshot-based AI tracking captures every productive minute without interrupting your flow.
Read articleA head-to-head review of the top automatic time trackers — covering privacy, features, and which tools actually run without manual input.
Read articleThe cognitive overhead of manual time logging — and why the real cost isn't the minutes spent entering data, it's the hours you forget to log.
Read articleJuggling multiple workstreams? Here's how to keep accurate time records across each one without a separate timer for every context switch.
Read articleNo timers. No invasive monitoring. Your work captured privately, classified locally, summarized clearly.
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