Feature
Auto-Tagging Rules
Automate tag assignment
Reduce manual tagging with rule-based automation and consistent classification.
How this feature works
in 3 simple steps
1
Install and connect
Install ManicTime and connect your workspace in minutes, without complicated setup.
2
Automatic activity capture
ManicTime records apps, websites, documents, and activity timelines automatically in the background.
3
Review, assign, and report
Review captured work, assign time to projects, and generate reports or invoices with confidence.
Auto-Tagging Rule Builder
Auto-Tagging Rule Builder lets teams define reusable rules that convert tracked activity into consistent tags automatically. Instead of manually assigning every time block, you can set conditions by application, website, document patterns, or metadata and let ManicTime classify work as it is recorded. This reduces repetitive tagging effort while improving standardization. Organizations with many users benefit from cleaner, more comparable project reports and fewer tagging discrepancies across the team.
Condition-Based Tag Matching
Condition-Based Tag Matching applies tags when specific usage criteria are met, such as certain domains, process names, titles, or timeline context. This makes tagging behavior deterministic and auditable, which is important when teams need predictable reporting outputs. By matching conditions to real work signals, the system captures classification intent directly in rules rather than relying on user memory at day end. The result is faster tagging and higher confidence in downstream timesheet data.
Auto-Tag Priority and Conflict Handling
When multiple auto-tagging rules could apply to the same activity window, priority and conflict handling determine the final tag outcome consistently. Teams can define which rules take precedence and how overlaps are resolved, preventing ambiguous classification in dense multi-tool workflows. This is essential for environments where the same user activity may match both project and operational categories. Predictable resolution behavior keeps timesheets stable and avoids manual cleanup after reports are generated.
Auto-Tag Rule Testing and Iteration
Auto-Tag Rule Testing and Iteration allows administrators to refine rule sets safely before broad rollout. Teams can review how rules apply to real historical patterns, detect edge cases, and adjust logic to avoid misclassification. This iterative process helps organizations move from manual tagging to automated workflows without losing reporting accuracy. Over time, rule tuning reduces operational overhead and increases trust in automatically produced project and client allocation data.
Who benefits from this feature?
The biggest impact usually appears across these user groups.
Operations Teams
Standardize tracking and reporting workflows across departments and projects.
Project Managers
Use reliable time data to plan resources, delivery timelines, and project profitability.
Team Leads
Understand team capacity and workload balance with clear activity and reporting insights.
Related features
