NITE DSP // INTELLIGENT CREATIVE TOOLS

NITE DSP creates intelligent tools that simplify complex creative workflows.

From document preparation to sample discovery to mix understanding, local-first software for creative professionals. Your work stays on your machine.

macOS 13+ · Apple Silicon · Local processing · No uploads

The NITE Signal Journey

From raw signal to creative confidence.

Every NITE DSP tool walks the same path, and your material never has to leave your machine to walk it.

DISCOVER

Signal enters the system.

Raw material, sample libraries, documents, mixes, stays exactly where it is. Nothing is uploaded to understand it.

ANALYSE

Local DSP reads the signal.

NITE DSP tools analyse the content itself: transients, spectra, structure, on your machine, in real time.

UNDERSTAND

Patterns become intelligence.

Analysis becomes usable knowledge: what a sound is, what a document needs, where a mix could improve.

CREATE

You act with confidence.

Intelligence stays assistive. Recommendations come to you, the creative decisions remain yours.

Product Demonstrations

See how the tools think.

Simulated walkthroughs running entirely in your browser with illustrative data: nothing is uploaded, nothing is processed externally.

SUBMIT // PREPARATION CONSOLESIMULATIONIDLE
LOCAL CHECK ONLY
7Z / ZIP / TAR.GZ ENGINE0 BYTES UPLOADED
SELECT LOCAL INPUT FILE / FOLDER

Select a file or folder above to inspect detected metadata, identity headers, and 7z/ZIP export readiness.

Submit helps you prepare safely on local hardware. Submit never submits automatically, you check the details and execute the export when ready.

Simulated console demonstration with illustrative data. Documents are verified strictly on local hardware.
SUBMIT

Drop → Understand → Review → Prepare → Verify → Receipt

Submit reviews document structure locally, flags uncertain fields for your approval, and saves a safely named copy. It never submits work for you and never modifies your original file.

Explore Submit
The Signal vs The Filename

Bypass folder structures. Rely on mathematical similarity.

A sample's filename is often meaningless (e.g. XK29_0047.wav). Standard folder trees hide your best sounds in nested archives.

SLO bypasses metadata dependencies entirely. By analysing the spectral and transient characteristics of the audio itself, it automatically categorises your library (e.g. identifying a kick, snare, or synth pad) and places similar timbres close together.

Interactive Demo

Real-time timbral signature extraction.

Click any cryptic filename to see how the local DSP engine scans the waveform, identifies key transient structures, and classifies the sound into its true instrument category.

Acoustic feature extraction

We measure spectral centroid, transient rise time, and tonal stability directly from the raw waveform.

100% Local Inference

Signal analysis and similarity calculations run entirely in memory. Your intellectual property never leaves your machine.

DSP SIGNAL CLASSIFIERSIMULATIONIDLE
SPECTRAL CENTROID
TRANSIENT RISE TIME
TONAL PITCH CENTER
DECAY ENVELOPE
SLO CLASSIFIED AS
Select a sample to begin
* Illustrative workflow simulation. Visual scans and values represent interface behavior, not live test benchmarks.
Precision Engineering

Streamline your sample library workflow.

  1. 01

    Scan your local sample drives

    SLO indexes your existing directories, extracting features directly from the audio signal. It caches results locally, making subsequent rescans instantaneous.

  2. 02

    Bypass cryptically named folders

    Search by sonic timbre, spectral balance, and transients instead of folder tags or cryptic names. Discover forgotten gems buried deep in old directories.

  3. 03

    Compare and drag to timeline

    Audition samples side-by-side inside the precision browser, map, or split view. Drag your selected sound straight into Ableton Live or any other DAW timeline.

System Capabilities

An instrument built for audio producers.

Read SLO specifications

Precision Browser

A structured, spreadsheet-like interface highlighting timbral attributes, transient decay, musical key, and true category.

Acoustic Similarity Map

Browse visually. High-dimensional acoustic vectors are plotted on a 2D coordinate plane, and close clusters share similar timbres.

Find Similar

Select any reference sound and instantly query all acoustically matching files in your local database.

100% Offline Inference

All mathematical models and feature extractions execute locally. Your audio files never leave your machine.

Get Started

Find the sound. Finish the track.