Waveform
Lo-Fi typical envelope
EQ Profile
Warmth (80–200 Hz) & Low-Pass Rolloff (above 12 kHz)
LUFS Target
TikTok integrated
Spectrum
Pink-noise reference
Lo-Fi Mastering for TikTok
Intentional warmth, vinyl crackle, -16 to -18 LUFS · Tuned for TikTok playback
Target: -14 LUFS · True Peak: -1 dBTP · Dynamic Range: 12-16 LU
Lo-Fi Mastering Specification. TikTok
| Parameter | Lo-Fi Specification |
|---|---|
| Loudness Target | -14 LUFS integrated (TikTok optimized) |
| True Peak Ceiling | -1 dBTP. Inter-sample peak limit |
| Dynamic Range | 12-16 LU LU. Genre-appropriate |
| EQ Focus | Warmth (80–200 Hz) & Low-Pass Rolloff (above 12 kHz) |
| Stereo Image | Centered and intimate, subtle mono tendencies |
| Platform Algorithm | TikTok normalizes audio and plays through phone speakers. |
Why Lo-Fi on TikTok Needs Specialized Mastering
Lo-fi mastering requires a counter-intuitive approach: the goal is authentic imperfection, meaning the mastering chain must enhance artifacts rather than remove them. Vinyl crackle at -40 to -50 dBFS sits in the noise floor and should not be eliminated by noise reduction processes. The low-pass filter characteristic that defines lo-fi (cutting highs above 12–15 kHz) should be applied before the master limiter to prevent the limiter from pumping against the filtered noise. The genre's quiet target of -16 to -18 LUFS integrated is a feature, not a flaw. Lo-fi listeners frequently pair it with ambient playlists where loudness consistency matters more than maximum impact. Tape saturation on the master bus adds second-harmonic distortion at 2× the fundamental frequency: for a 200 Hz bass note, saturation adds warmth at 400 Hz, thickening low-mids without adding sub-bass. Bitcrusher effects create aliasing distortion that interacts with streaming encoders. Set bit depth no lower than 14-bit to avoid unintended encoding artifacts. High-pass at 30 Hz removes rumble; keep the rest of the sub-bass intact for headphone listeners even if the lo-fi aesthetic leans warm.
TikTok context: TikTok normalizes audio and plays through phone speakers. Prioritize mid-range clarity and strong transients over sub-bass. Your track must cut through with earbuds and tiny speakers.
Lo-Fi × TikTok. The Normalization Math
How -14 LUFS interacts with Lo-Fi's natural loudness window
Lo-Fi masters naturally land at -18 to -14 LUFS. Roughly 2.0 dB quieter than TikTok's -14 LUFS target. TikTok will boost the master at playback, which means sample peaks that read clean against your DAW meters can approach 0 dBFS once the algorithm adds gain. True-peak limiting at -1 dBTP becomes a hard requirement, not a stylistic choice. Inter-sample peaks that survive a -1 dBTP ceiling at -16 LUFS will clip after TikTok normalizes your track upward. The -1 dBTP ceiling specified for TikTok prevents inter-sample peaks from clipping during the codec's reconstruction filter, which is especially relevant for Lo-Fi's 200-800 Hz vintage mids content where high-amplitude transients accumulate against the limiter.
Codec Reality for Lo-Fi on TikTok
TikTok encodes at 128 kbps (with loudness pre-processing) and plays primarily through phone speakers and earbuds in unpredictable noise environments. the listener's playback chain destroys content below 60 Hz and rolls off above 12 kHz before your master ever reaches their ear. Lo-Fi's 200-800 Hz vintage mids and pre-rolled high-frequency rolloff content needs to translate at 2-4 kHz midrange where phone speakers live or it disappears from the playback. Harmonic-exciter saturation that re-creates fundamentals as upper harmonics is more useful than EQ boosts on this platform: phone speakers can reproduce harmonics that they cannot reproduce as fundamentals. The dynamic-range character of Lo-Fi (wide and intentionally dynamic, 12-16 LU) interacts with this codec tier specifically: compress conservatively, then let the codec do the rest. Over-compression at the mastering stage stacks with the codec's loudness handling and produces a flat, fatigued listening result.
Lo-Fi EQ Profile for TikTok
Lo-fi character: Apply gentle vinyl crackle or tape saturation BEFORE the master limiter.
Warmth: Boost 80–200 Hz for vintage warmth. Roll off aggressively above 12 kHz for the 'old record' effect.
Low-end: Tight high-pass at 50 Hz. Lo-fi doesn't need sub-bass. Keep it simple.
No brightness: Do NOT boost high frequencies. Lo-fi intentionally lacks 'air'. Brightness destroys the aesthetic.
Compression & Limiting for TikTok
Soft limiting: Lo-fi should breathe at -16 to -18 LUFS. Do NOT push hard. The quietness IS the aesthetic.
Tape saturation: Apply subtle harmonic saturation to glue the mix. This is character, not correction.
Vinyl simulation: Add subtle wow/flutter effect if your mastering chain supports it.
Lo-Fi LUFS Targets. All Platforms Compared
How Lo-Fi mastering specs differ across every major streaming platform.
| Platform | Integrated LUFS | True Peak | Current page |
|---|---|---|---|
| -14 LUFS | -1 dBTP | View guide → | |
| -16 LUFS | -1 dBTP | View guide → | |
▶️YouTube | -14 LUFS | -1 dBTP | View guide → |
| -14 LUFS | -1 dBTP | View guide → | |
| -11 LUFS | -0.5 dBTP | View guide → | |
🎵TikTok | -14 LUFS | -1 dBTP | You are here |
| -13 LUFS | -0.5 dBTP | View guide → | |
🎛️Beatport | -9 LUFS | -0.3 dBTP | View guide → |
| -14 LUFS | -1 dBTP | View guide → | |
| -14 LUFS | -1 dBTP | View guide → | |
| -14 LUFS | -1 dBTP | View guide → | |
| -15 LUFS | -1 dBTP | View guide → |
Technical Methodology. Lo-Fi Mastering for TikTok
Target: -14 LUFS integrated · -1 dBTP true peak · EBU R128 / ITU-R BS.1770-4 compliant
We measure integrated LUFS using K-weighted filtering per ITU-R BS.1770-4: a high-shelf pre-filter at 1681.97 Hz (+3.9998 dB gain) followed by a 75 Hz high-pass (Q=0.5) to remove DC offset and low-frequency rumble. The mean square of the filtered signal gives us integrated loudness in LUFS.
True peak (dBTP) is measured at 4× oversampling to detect inter-sample peaks that occur between digital samples. Sample-peak measurement alone misses these peaks, which cause audible clipping during AAC and MP3 lossy encoding on streaming platforms. We enforce the true peak ceiling at -1 dBTP for all standard platforms.
Genre EQ profiles apply frequency-specific gain based on each genre's sonic characteristics: mud reduction at 250–400 Hz for hip-hop and trap, presence enhancement at 2–4 kHz for vocal clarity on phone speakers, sub-bass high-pass at 30–35 Hz for all genres to remove inaudible subsonic content that wastes headroom.
Master bus compression uses a VCA-style algorithm with genre-tuned attack and release times. Lo-fi and jazz use 50 ms attack to preserve transients; EDM and techno use 5–10 ms for density. Parallel compression blends the compressed signal at 20–40% wet to lift room sound without eliminating the uncompressed transient attack.
The final limiter stage uses lookahead limiting (3–5 ms) to catch transient peaks before they exceed the true peak ceiling. The limiter targets platform-specific LUFS: -14 LUFS for Spotify, -16 LUFS for Apple Music, -11 LUFS for SoundCloud, -9 LUFS for Beatport. Gain reduction is transparent at 1–2 dB of limiting; beyond 3 dB audible artifacts require reducing the input drive.
All processing runs in your browser via Web Audio API. No audio data is uploaded to any server.
Lo-Fi Mastering FAQ. TikTok
What LUFS for lo-fi on TikTok?
-14 LUFS is the target, but lo-fi typically masters at -16 to -18 LUFS intentionally. TikTok will not boost it. The quietness is part of the aesthetic and listeners expect it.
Should I remove the vinyl crackle before mastering?
No. Vinyl crackle and tape hiss are intentional lo-fi elements. Apply them before mastering so they're baked into the final file. The master limiter then treats them as part of the signal, preserving the authentic texture.
How do I keep lo-fi warm without making it muddy?
Boost 100–200 Hz for warmth, but apply a tight high-pass at 50 Hz to remove rumble. Cut 300–400 Hz by 2–3 dB to reduce muddiness if needed. The warmth should come from midrange saturation, not low-frequency buildup.
Lo-Fi Mastering for Other Platforms
Other Genres on TikTok
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