# DJ Cue Point Detector Detect mix-in, drop, breakdown, and mix-out cue points in a music track and export them for Traktor, rekordbox, and CD burners. > Canonical page: https://elysiatools.com/en/tools/audio-dj-cue-point-detector - **Category:** Media - **Keywords:** dj cue points, traktor nml, rekordbox xml, cue sheet, drop detection, mix in mix out, track structure, edm analysis, hot cues ## Overview A structure-analysis cue finder that follows the published DJ-switch-point method: beat-synchronous energy/bass/brightness/chroma/onset features build per-feature self-similarity matrices, a Gaussian checkerboard kernel (Foote) produces novelty curves, peaks above 0.3x of each feature max are snapped to the 4-bar period grid (phase by max RMS novelty), then filtered by salience (the 4 bars after a cue must carry real energy). Semantic rules label the mix-in (first energetic grid point), the drop (bass jumps in after a quiet build), the breakdown (bass falls away while harmony continues), and the mix-out (last energetic point in the tail). The ZIP contains collection.nml (Traktor), rekordbox.xml, cue_points.cue (CDRWIN 75 fps), CSV, JSON, and an import README. Cues are a starting point — always audition them before a gig. ## Inputs - **Music track** (file) - **Sensitivity** (select) - **Max cue points** (number) ## When to use - Preparing new electronic music tracks for performance without manually setting every hot cue. - Migrating cue point data across DJ platforms using standard XML, NML, and CUE formats. - Quickly identifying drops and phrase boundaries across unfamiliar promo tracks or library additions. ## How it works - Upload an audio file and select the detection sensitivity and maximum cue limit. - The tool computes beat-synchronized energy, bass, brightness, chroma, and onset novelty curves, snapping structural peaks to a 4-bar grid. - Semantic rules classify the detected transitions into mix-in, drop, breakdown, and mix-out points. - Download a ZIP archive containing collection.nml, rekordbox.xml, cue_points.cue, CSV, JSON, and an import guide. ## Use cases - Batch-prepping club tracks with standardized 4-bar phrase markers for smoother mixing. - Generating CDRWIN-compliant 75 fps cue sheets to burn mixed audio CDs with precise track markers. - Exporting structured cue datasets in CSV and JSON for DJ set management and library scripts. ## Frequently asked questions ### What formats are included in the downloaded archive? The ZIP package includes collection.nml for Traktor, rekordbox.xml, cue_points.cue for CDRWIN/burners, CSV, JSON, and an import README. ### How are cue points aligned to the music? Detected structural novelties are aligned and snapped to a 4-bar grid based on peak RMS novelty and energy salience. ### What semantic cue types does the detector identify? It identifies the mix-in (initial energy entry), drop (bass surge after a build), breakdown (bass withdrawal with ongoing harmony), and mix-out points. ### What is the maximum audio file size supported? You can upload audio files up to 100 MB. ### Should I verify the cues before performing live? Yes, automated cue points serve as a structural starting point and should always be auditioned prior to a live gig. ## Related tools - [Audio to Sheet Music](https://elysiatools.com/en/tools/audio-to-sheet-music): Transcribe a music performance into engraved sheet music: Basic Pitch note detection, grid quantization, Krumhansl–Schmuckler key finding, then MusicXML and ABC notation (plus optional MIDI) in one ZIP. - [Audio Chord Progression Detector](https://elysiatools.com/en/tools/audio-chord-progression-detector): Estimate an audio file's chord sequence locally and download CSV, JSON, SVG, and method notes in one ZIP. - [Audio Loop Seam Finder](https://elysiatools.com/en/tools/audio-loop-seam-finder): Analyze an audio file, rank the most seamless loop points by cross-correlation, and export the best trimmed loop with a wrap-around crossfade. - [Audio Mix Translation Checker](https://elysiatools.com/en/tools/audio-mix-translation-checker): Simulate your mix on phone, laptop, earbud, car, club, mono and noisy-street playback, export every render in a ZIP, and report what survives each system. - [Mud Remover](https://elysiatools.com/en/tools/audio-mud-remover): Detect and reduce 150–500 Hz low-mid buildup — the stacked-fundamentals mud that turns a mix boxy — with a measured, focus-tuned parametric cut. - [Rhythm Extractor](https://elysiatools.com/en/tools/rhythm-extractor): Analyze a drum track or full mix into a step-sequencer pattern: BPM, beat grid, kick/snare/hi-hat hits quantized per bar, drum MIDI, and an HTML grid report. - [Audio BPM Detector](https://elysiatools.com/en/tools/audio-bpm-detector): Detect the beats per minute (BPM) of a music track - [Audio Dropout Detector](https://elysiatools.com/en/tools/audio-dropout-detector): Detect brief signal dropouts and silent gaps in audio ## Samples - [Nginx Log Parser Samples](https://elysiatools.com/en/samples/nginx-log-samples): Comprehensive Nginx log samples for testing log-parser tool, including access logs and error logs with various formats and scenarios - [Android Serialization Java Samples](https://elysiatools.com/en/samples/android-serialization-java): Android Java serialization examples including JSON serialization, deserialization, and XML parsing - [Android Serialization Kotlin Samples](https://elysiatools.com/en/samples/android-serialization-kotlin): Android Kotlin serialization examples including JSON serialization, deserialization, and XML parsing - [macOS Serialization Objective-C Samples](https://elysiatools.com/en/samples/macos-serialization-objectivec): macOS Objective-C serialization examples including JSON serialization, JSON deserialization, and XML parsing