Precision Browser
A structured, spreadsheet-like interface highlighting timbral attributes, transient decay, musical key, and true category.
NITE DSP // INTELLIGENT CREATIVE TOOLS
Tools built for the way you actually work.
Submit for document prep, SLO for sample discovery, and free Para-phase for writing help. KENN is in research and development.
Submit and SLO: local macOS tools · Para-phase: free online writing aid
The Products
Tools for documents, samples, and writing.
Submit prepares documents locally. SLO searches your sample library. Para-phase offers free writing help online. KENN is in research and development.
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.
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 SubmitThe 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
Hear the difference between your samples, not just the names.
Click any filename to see how SLO scans the waveform, picks out the transient shape, and works out what kind of sound it actually is.
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 on your machine. Your audio never leaves.
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.
How It Works
From raw drives to instant results.
- 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.
- 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.
- 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.
Features
Built for the way producers actually work.
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.
Both waitlists are open. First 50 spots each.