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CLUSTER FILES-METADATA-TAGS · 4 ENTRIES · EARLIEST ENTRY 2008-03-10

Music metadata cleanup tools

This cluster consists of tools that rename and reorganize music files by reading or matching embedded metadata tags, with some pulling from online databases. The dated history shows a sporadic timeline with entries in 2008, 2013, 2021, 2025, and 2026, indicating intermittent activity rather than a clear trend. Traction leaders are musicrename, FileBot, and music-file-organizer, all currently showing zero stars, so they lead only by being listed first in activity signal.

Entry timeline

ENTRY TIMELINE

MAR 2008: 1JAN 2013: 1MAY 2021: 1JUN 2026: 1
MAR 2008JUN 2026

Each bar is the month a member carries, which is a creation date where the source published one and a crawl date otherwise. Nothing in the index was found before 11 August 2026, and coverage broadened sharply on 14–15 August, so a bar from then on reports how much we found that month, not how much was built; an earlier bar reports how far back a member's own source dated it — not how long we have been watching.

Members by activity

Activity signals, not revenue.

Build origin · 3 hand-coded · 1 unlabelled

Operator · 4 open source

Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 4 listed below. Unlabelled means nothing has decided yet — not that the answer is small.

  1. 01musicrename0★23 daysliveopen sourceCommand-line utility to rename and organize music files using metadata tags.
  2. 02music-file-organizer0★11 yrabandonedlivehand-codedopen sourceAudio file organizer that renames files based on their embedded metadata tags.
  3. 03python-music-metadata-filter0★4 yrabandonedlivehand-codedopen sourceA module that cleans up artist, album, and track name metadata in music collections.
  4. 04lltag0★9 yrabandonedlivehand-codedopen sourceA command-line program that reads metadata from audio files and automatically rewrites tags and renames files to match standard naming conventions.

Ranked by traction, highest first, and paged 20 at a time — this is a window on the cluster, never the whole of it. Ties are broken by a stable id so a product cannot appear on two pages or fall between them. Browse every cluster.