PlaylistMatch Shipped

You hear a set, you find the playlist, and then you spend an hour working out which of those forty tracks you already have. PlaylistMatch does that part.

Paste a Spotify or Apple Music link, a CSV, or just a list of track names. Every entry is matched against your Serato library with a confidence score, matches become a crate, and everything you are missing goes into a plan you can work through.

PlaylistMatch

What it does

• Takes any list. Spotify and Apple Music playlist URLs, CSV rows, or plain text pasted in.
• Confidence scoring. Each match shows how sure it is, and where you own several versions of a track you choose which one counts.
• Remix and version aware. Remix and version titles are matched against their library originals rather than being treated as different songs.
• Crate from matches. Turn everything you confirmed into a new crate in one step.
• A plan for the rest. Unmatched tracks stay in a queue so the ones you do not own yet are not just lost.
• Buy links that are real. Confirmed iTunes and Beatport listings, grouped by store with per-version options — not a search URL that might find nothing.
• Import what you bought. I bought it brings the purchased file into your library, and a Downloads-folder watcher offers to import finished downloads automatically.
• Download fallback. For tracks that cannot be bought, pull the audio from YouTube or SoundCloud, with music videos filtered out of the suggestions.
• Tagged from the title, not the channel. Downloads read the artist and title out of the video title, where they actually live. A channel name is never used as the artist or the album, and an unparseable title leaves the field empty rather than guessing.

How to use it

1. Paste the playlist

   Drop in a link, a CSV, or a plain list of tracks.

2. Match

   Review the results. Fix any low-confidence rows and pick versions where you own more than one.

3. Create the crate

   Confirmed matches become a crate in your Serato library.

4. Work the plan

   For the rest, use the buy links, then import each purchase back in.

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