Label Doctor for Jira label cleanup

Clean duplicate Jira labels without guessing what will change

Label Doctor groups duplicate and near-match labels, previews affected issues, lets admins choose canonical labels, and keeps cleanup jobs reviewable with audit and undo state.

Trials, purchase, billing, and exact pricing are handled on Atlassian Marketplace.

Built for Jira admins and reporting owners cleaning labels before dashboards, automation, and JQL standards drift further.

Last updated: 2026-06-18

Forge-builtBaseline app runtime and storage use Atlassian Forge. Data handling documentedPrivacy and retention details are published for admins. Support targetsSupport response windows and SLA terms are visible before rollout.

Why teams install Label Doctor

Label sprawl breaks search, automation, reports, and dashboards because one concept becomes five labels. The risky part is not spotting the mess; it is bulk-changing labels without a preview or recovery path.

The buyer-facing output is a merge preview with candidate groups, canonical selections, affected issue counts, similarity grouping, applied job state, and undo availability.

What you can show

  • Exact, near-match, and numeric variants are grouped for reviewer inspection.
  • Admins see affected issue counts before starting a merge or replace job.
  • Cleanup jobs keep audit state and recent undo support while the snapshot is available.
  • Project-scoped cleanup keeps local team ownership intact.

Product view

Label Doctor screenshot from the Atlassian Marketplace listing showing Jira label cleanup and merge review workflows.
Label Doctor duplicate label review Label Doctor duplicate label review: duplicate Jira label groups, canonical suggestions, preview counts, and undoable cleanup history.

Sample - synthetic data

Sample merge preview and undo record

A synthetic label cleanup preview showing duplicate groups, canonical choices, affected issue counts, job state, and short-term undo availability.

Download CSV, JSON, and manifest files
Scope limit: Label Doctor changes labels only after an admin starts a supported merge or replace action.
Sample merge preview and undo record PDF preview for Label Doctor.
The sample uses fictional data and is meant to show what a buyer can inspect after using Label Doctor.

Fit and boundaries

Best for: Jira admins, reporting owners, and teams whose labels have become inconsistent across projects.

Not for: Custom colored-label fields, dashboard gadgets, or broad reporting beyond label cleanup and lightweight management.

Where it fits

Use Label Doctor when labels are fragmenting search, automation, dashboards, and reports, but admins need to preview affected issues before applying a merge or replace job.

Use cases

  • Merge casing or punctuation variants that fragment reporting.
  • Clean labels before dashboard, automation, or JQL standardization.
  • Scope cleanup to a project when teams need local control.
  • Use preview-first operations to reduce the risk of bulk edits.
  • Undo recent supported cleanup jobs when a mistake is caught quickly.

Core capabilities

  • Duplicate and near-match label detection with issue counts and recommended canonical labels.
  • Project-scoped scans for targeted cleanup.
  • Bulk merge and search-and-replace workflows with previews.
  • Chunked cleanup jobs with audit trail records.
  • Recent undo support while the stored undo snapshot is still available.

Typical workflow

  1. Scan labels

    Build a label inventory across selected projects or the accessible Jira scope.

  2. Review groups

    Inspect exact, casing, punctuation, near-match, and numeric variants with affected issue counts.

  3. Choose canonical labels

    Pick the label that should remain after cleanup.

  4. Preview affected issues

    Review the proposed merge or replace change set before writing.

  5. Run and audit

    Apply the cleanup job, track progress, and retain audit and undo records.

Security, privacy, and support

  • Label Doctor handles label strings, issue keys, scan metadata, ignore rules, and undo snapshots.
  • Writes happen only when an administrator starts supported merge or replace actions.
  • Cleanup jobs are tracked and logged for auditability.
  • App state is stored in Forge storage.

FAQ

Does Label Doctor support previews?

Yes. Admins can preview affected issue counts before running merge or replace actions.

Can Label Doctor undo changes?

Recent supported merge or replace operations can be undone while the stored undo snapshot is still available. Treat undo as short-term recovery after a recent job, not permanent label version history.

Does it change workflows or permissions?

No. Label Doctor focuses on Jira label cleanup and lightweight label management.

How is it different from Filter Hygiene?

Label Doctor cleans labels on issues. Filter Hygiene governs saved-filter cleanup need, supported impact, guarded changes, and evidence.

Install from Marketplace

Preview the next label cleanup before it writes

Install Label Doctor, scan for duplicate or near-match labels, and review affected issues before running a supported merge or replace job.

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Works with
Jira Cloud
Status
Available on Atlassian Marketplace for Jira Cloud
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Status
Available on Atlassian Marketplace for Jira Cloud

Solution

Jira Admin Cleanup and Governance

Jira admin work often fails in small places: over-shared filters, owner drift, label sprawl, and silent board changes. ArdSaor apps focus on these concrete cleanup and governance jobs with previews, audit records, and Forge-first architecture.

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