Guides for producers & DJs

Tempo detection from one DSP detector to consensus voting to a pretrained TempoCNN — measured on GiantSteps, with what failed and what's still broken.

How splitting a recording at silent gaps works, how to tune the threshold and gap length, and when to use manual cutting instead.

Why key and BPM detection can disagree between passes, why confidence scores matter, and why only part of a track gets analyzed.

Why tap tempo tools only average your most recent taps, why a pause resets the count, and how to get a stable BPM reading.

Why shifting pitch by semitones differs from speeding up or slowing down a track, and how to pick a comfortable vocal range without changing tempo.

Why nudging a track's speed for a mashup or DJ set doesn't have to shift its key, and how much tempo change you can get away with before it sounds off.

How the Camelot Wheel works, why harmonic mixing makes sets flow, and how to use key compatibility when building a set.

A 6-step DJ set prep workflow: gather tracks, tag key and BPM, group by Camelot compatibility, and order for energy before you play.

How AI turns a recording into sheet music — note detection, tempo and key, quantization and engraving — and how to fix the result in MuseScore.

TikTok's source audio measures around 64 kbps AAC. Here's why converting it to a 320 kbps MP3 can't add quality back — and what actually does matter.

Turn a TikTok sound into a ringtone: where to cut the hook, how long to make it, why it needs a fade, and how to install it on iPhone or Android.

How audio-to-MIDI transcription detects pitch and timing, why single melodies convert cleaner than chords, and what onset and frame thresholds control.

Why pulling M4A/AAC audio from a video is a fast container remux, why WAV or FLAC extraction takes real time, and when lossless output is worth it.

How a single AI model splits a track into vocals, drums, bass, and other, why it's harder than a 2-stem split, and what Studio Quality actually changes.

Why a hard cut at the start or end of audio causes a click or pop, how a fade in or fade out fixes it, and how long to make one.

Mono is one channel, stereo is two. What actually changes when you convert between them, why mono-to-stereo adds no width, and how to check a mix in mono.

What sample rate and bit depth actually measure, why converting to a higher sample rate doesn't add quality, and when you genuinely need to change either.

Why LUFS measures perceived loudness differently than peak level, why streaming platforms normalize playback, and why two-pass measurement matters.

Why an M4R file is just AAC audio with a different extension, why iPhone ringtones cap at 30 seconds, and how to pick a good clip.

Why joining audio files recorded at different sample rates can break playback, and how normalizing before joining fixes it.

Why pasting a YouTube link takes longer than uploading a file, why private or restricted videos can't be processed, and what determines wait time.

Why a basic JavaScript timer causes an online metronome to drift, and how scheduling clicks against the audio clock ahead of time fixes it.

Why tuners analyze the waveform directly instead of picking the loudest frequency, and why they turn off echo cancellation and noise suppression.

Why AI source separation beats a center-channel filter, the real difference between an instrumental and an acapella, and where separation still struggles.

The real difference between lossless and lossy audio, and why converting MP3 to WAV won't recover quality you've already lost.

Why trimming a lossless file is bit-perfect but a lossy file depends on cut placement, and how to avoid a click at your trim point.

How decibels work, why clipping happens at the top of the range, and where to set gain before other processing so nothing distorts downstream.

How reversed cymbals, vocal chops, and risers are actually built, plus the backmasking curiosity that made reversed audio famous in the first place.

The real technical differences between WAV and MP3 for sampling, layering, and production, and when the difference actually matters.

How to pick reference tracks for a specific purpose, match their role to your mix, and get them into a usable local format for A/B comparison.

Why transcripts come back wrong, and what to fix first. Audio cleanup, language selection, SRT vs VTT, and handling recordings over 20 minutes.

How browser-based recording works entirely on your device, why the output format depends on your browser, and how to get a cleaner recording.

How FFT-based noise reduction actually works, why pushing the strength too high causes warbling, and when a general denoiser beats a speech-only preset.

A step-by-step order for cleaning up a podcast recording: rumble, noise, and loudness, and why doing them in the wrong order gives a worse result.

The difference between slap-back echo and room reverb, why one gates out cleanly and the other doesn't, and what to expect from echo reduction tools.

How silence threshold and minimum gap length work together, why cutting too aggressively clips natural pauses, and how to tune both for your recording.