Deterministic batch renamer for DJ library tracks based on metadata tags and audio analysis.
Inspect metadata tags, detect messy names, and batch rename automatically or with manual inline edits.
Drop your audio tracks here or click to browse
Lossless (WAV, FLAC, AIFF) and Lossy (MP3, AAC, M4A) · Local Processing Only
Identify identical and alternate quality duplicate tracks in your collection.
or click to browse
Detect exact duplicates (SHA-256) and acoustic matches with quality recommendations
Convert Rekordbox, Traktor, VirtualDJ and Serato collections 100% locally.
or click to browse
Supports Rekordbox .xml, Traktor .nml, and VirtualDJ .xml
Transmute DJ USB drives between Pioneer, Denon Engine OS and Serato in-place without copying or duplicating audio files.
Transmutes existing DJ USB drives in-place without copying or duplicating audio files.
Connect or select your USB drive to inspect its DJ topology.
Pioneer, Engine Library and _Serato_ folders will be checked to provide cross-compatibility without touching your audio tracks.
Drag and drop audio files here or use the buttons below to import tracks.
or click to browse
High-fidelity audio recording for microphones, DJ USB sound cards or system audio with peak and RMS metering
Your collection is indexed in IndexedDB and shown in a 22-column table: search by title, artist, album, genre or folder, sort by 11 keys, listen in a built-in deck, and export CSV, JSON or Rekordbox XML. Your files are opened read-only and never uploaded to a server.
Four capabilities you can check in the code, not in a sales pitch.
The compact view shows 22 columns and the ultra-compact view 20, with fixed widths so header and body line up; whatever does not fit your window hides on its own and returns when you widen it. Title, artist, BPM, key, format, bitrate, sample rate, LUFS, True Peak, quality and signal issues sit in the same row.
Search covers title, artist, album, genre and relative path, case- and accent-insensitively; every word is an independent token that must appear somewhere, so "kos a1" finds the artist whose key is A1. The query never becomes a regular expression, so a title full of symbols cannot break the table. The all, pending, favorites, played and imported tabs, the source selector and the folder and playlist trees narrow the list without clearing your selection.
Load a track into a local player backed by the file you just opened: spacebar for play and pause, seek on the waveform, quantize from 1/1 to 1/8 on the beatgrid, and up to 8 hotcues dragged with magnetic snapping. All of the audio is decoded on your machine.
The analysis queue computes BPM, key, LUFS, True Peak and spectral ceiling on your machine and stores the result in a local cache that keeps at most 2,000 records and drops the oldest. The external metadata lookup (MusicBrainz, iTunes) is optional, moves text only and runs only if you consent: no byte of audio travels with that request.
What this view solves before you load the USB stick.
Type two words and the list shrinks to the rows containing both, in any field. Ties are stable — title first, then path — so the view does not jump around while you sort.
Load the track into the deck, jump with the spacebar and set the intro hotcues to know whether it drops in cleanly before it goes on the USB stick.
Sort by title, artist, genre, rating, duration, date added, BPM, key, quality, signal issues or format. A value that does not exist goes last in both directions: pressing "BPM descending" never puts twenty un-analysed tracks on top.
Export the selection as analysis CSV and JSON — carrying the analyzer version so a result can be reproduced — or as Rekordbox XML written row by row in the source dialect, keeping TrackID, location, cues and playlists. A full backup of the index downloads alongside.
Three local stores and no upload: what your collection looks like after you close the tab.
The index lives in IndexedDB and keeps only what a cell prints — a few hundred bytes per row — with no decoded audio, no waveform peaks and no spectrogram matrix. Analysis results live in a separate cache capped at 2,000 records, and the permissions of the folders you linked are stored separately so they can be requested again.
We would rather publish them than have you discover them halfway through an import.
Swapping artist and title and applying lookup fields is saved to the app index; the files on your disk stay untouched. To rewrite the real ID3, use your DJ software or a separate tag editor.
The browser withdraws folder permission on reload: the index is still there, but the files show as disconnected until you authorise again with the reconnect button. If the permission was not persisted, you have to pick the folder again.
Above 2,000 records the oldest analyses are evicted so the cache cannot grow without bound. Re-analysing costs time, so export a backup before clearing site storage.
There is no sign-up, no cloud and no multi-device sync: the collection lives in this browser. Clearing site data removes the index, which is what the CSV, the JSON and the full backup are for.
Organisation, metadata and backups to keep the collection in order.
Can you really hear the difference between MP3 320 kbps and lossless FLAC on a club PA? Psychoacoustics, transients and stereo phase.
Why converting 128 kbps audio to WAV or FLAC never restores lost frequencies, and how to spot the phantom cutoff on a spectrogram.
Frequency axes, harmonics, dynamic range in dBFS and how to spot low-pass cuts before playing live.
A full strategy for organising a DJ library: folders versus playlists, crates, My Tag, ratings, colours, energy tags and metadata (Academy guide in Spanish).
Complementary utilities to audit and maintain your collection.
Check the frequency ceiling, LUFS and True Peak of every track with an interactive spectrogram.
Group byte-identical copies by SHA-256 hash and get a recommendation on which one to keep.
Migrate the collection to Rekordbox, Traktor or VirtualDJ keeping playlists and cues.
Normalise filenames with artist and title so the library does not fall apart again.
