chefkjd

chefkjd / MixSplitR

Public

Record and automatically split large mixes, identify metadata, and organize your unsorted and messy music collection using multisource fingerprinting and bpm detection

57
2
100% credibility
Found Feb 04, 2026 at 17 stars 3x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

MixSplitR is a desktop application for recording audio, splitting long music mixes into individual tracks, identifying songs from multiple sources, editing metadata, and organizing files into a personal library.

How It Works

1
🎵 Discover MixSplitR

You hear about a handy tool that can turn your long music mixes into neatly organized song files with all the right names and details.

2
📥 Download and Launch

Grab the app from the releases page and open it up on your computer, feeling excited to tidy up your music.

3
🔧 Pick Your Setup

Choose how to scan your music folder or record new audio right inside the app, and set where to save your organized collection.

4
Load Your Music
🎧
Single Songs

Your tracks get labels and details added automatically for quick organizing.

⏱️
Long Mix

The app splits the mix into separate songs using quiet spots or your visual tweaks.

5
Review and Edit

Preview each song, listen to clips, fix any names or artists, and add details easily with helpful search suggestions.

6
Apply Changes

Hit go to create your perfectly tagged and folder-organized music library just the way you want.

📚 Enjoy Your Library

Sit back with your sorted music collection, ready to play anywhere with full details on every track.

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Star Growth

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AI-Generated Review

What is MixSplitR?

MixSplitR is a Python CLI tool that automatically splits large mixes from digitized vinyl, CDs, or system audio recordings into individual tracks using silence detection, assisted review, or a visual waveform editor. It identifies tracks via audio fingerprinting from services like ACRCloud, AcoustID, MusicBrainz, and Shazam, pulls metadata, artwork, BPM, and genres, then organizes your messy collection into artist-folded libraries with multi-format exports (FLAC, MP3, etc.). From raw hour-long files to tagged, previewable tracks—it's a full workflow for archiving unsorted audio.

Why is it gaining traction?

Unlike basic splitters or taggers, it combines recording, splitting, identification, interactive editing with audio previews, and safe rollback via session manifests, all in one app with portable mode and deep folder scans. Free backends mean no paid APIs required, and tunable fingerprint windows handle tough underground tracks. Developers digging into personal media tools appreciate the audit trail and one-click direct mode for quick exports.

Who should use this?

DJs digitizing seamless mixes, music hoarders sorting messy digitized collections, or archivists processing long live sets/podcasts into metadata-rich libraries. Ideal for anyone tired of manual tagging in Audacity or iTunes after splitting in foobar2000.

Verdict

Grab it for niche audio organization—26 stars and 1.0% credibility signal early maturity with thin tests, but polished docs and frequent releases make it reliable for personal use. Test on a backup folder first.

(187 words)

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