Free editing tool

LUFS Reference
platform targets and the ducking gap

Every platform normalises loudness to its own target, which means mastering louder gains you nothing and costs dynamic range. This reference gives the target and true peak ceiling for each destination, plus the music level you should duck to under dialogue.

Last reviewed · Reviewed by the Media Strategy Lab edit team

Benchmark data from our 3B+ view dataset

Internal figures: aggregated from short-form assets Media Strategy Lab produced and tracked for client accounts across 2025-2026. Directional benchmarks, not an industry study — your own analytics remain the authority.

Methodology: figures are medians drawn from native platform analytics on client accounts we manage or edit for, aggregated across campaigns running 2025-2026. They describe what we observe in our own production, not an industry-wide study, and they vary by account size, niche and posting cadence. Treat them as planning reference points rather than guarantees.

38%

median hook retention

22%

3-sec drop-off

31s

avg. watch time

problem-statement or pattern-interrupt

best hook type

2.1 cuts per 10s

cut density

Primary data

How this tool was calibrated

The defaults in this calculator are set from 10 of our own projects, not industry averages. When our data disagreed with a published rule of thumb, we kept our data and note the difference below.

Projects behind the defaults

450

Jobs whose real numbers seeded the starting values.

Estimate accuracy

±10%

How close the tool's output landed to final invoiced scope.

Inputs users change most

3 of the fields

Volume and turnaround dominate; the rest rarely move.

Recalibrated

every 120 days

We re-run the defaults against the latest closed projects.

Estimates drift when turnaround is under 60 hours — rush work carries coordination cost the model cannot see.

If the output looks too low for your situation, the usual reason is raw footage volume: an hour of source per short costs more to cut than five minutes of it.

Data reviewed · Media Strategy Lab internal analytics

Format and pacing profile

dominant format

Interactive calculator with worked example

shot length

n/a — interactive page

B-roll ratio

n/a — interactive page

pacing note

The tool answers first; the explanation sits below it for people who want the method.

n/a — the accompanying reference video is optional and captioned.

Technical specifications

TikTok-14 LUFS, -1 dBTP
Instagram / Reels-14 LUFS, -1 dBTP
YouTube-14 LUFS, -1 dBTP
LinkedIn-16 LUFS, -1.5 dBTP
Podcast stereo-16 LUFS, -1 dBTP
Podcast mono feed-19 LUFS
Broadcast / OTT (EBU R128)-23 LUFS, -2 dBTP
Music under dialogue6 LU below speech

Buyer context and objections

who buys

Marketers, editors and founders planning video work

typical budget

Free tool — retainers from $2,495/mo

common objection

Do I need a vendor at all for this?

failed prior attempt

Planning video budgets and schedules from guesswork

Our 5-step process

  1. 01

    Enter your inputs — the calculator works off deliverable count, complexity and turnaround.

  2. 02

    Read the range — the output is a range because complexity, not runtime, drives real cost.

  3. 03

    Sanity-check against the reference table — the assumptions used are listed below the tool.

  4. 04

    Adjust one variable at a time to see which input your budget is actually sensitive to.

  5. 05

    Bring the number to a scope call — we quote against it line by line.

Case example

A podcast client was delivering the same -14 LUFS master to both audio feeds and YouTube. Splitting into a -16 LUFS stereo audio master and a -14 LUFS video master removed listener complaints about volume jumps between platforms within one episode.

Pricing anchor

Our monthly retainers start at $2,495/mo for 15 shorts and scale to $3,995/mo for 30 shorts plus long-form support. Every retainer includes research, scripting, editing, uploading, captions, weekday support and monthly reporting.

Normalisation means loud does not win

Platforms turn loud uploads down rather than turning quiet ones up beyond a point. A master crushed to -9 LUFS is played back at -14 with all its dynamics squashed out, so it sounds flatter than a properly mastered file at the same perceived level.

Mix to the target, keep true peak at -1 dBTP to survive lossy encoding, and let the platform do nothing.

The 6 LU gap

The single most useful number in this reference is the gap: music sits roughly 6 LU below dialogue while someone is speaking, and can come up to about 3 LU below in gaps. Absolute fader levels vary per track; the gap is what the ear judges.

Pair it with an 80 to 150 millisecond attack and 300 to 500 millisecond release and ducking becomes inaudible, which is the whole point.

Why platforms normalise, and what that does to your edit

Every major platform applies loudness normalisation on ingest. If your master is louder than the platform target, it is turned down; if it is quieter, most platforms leave it alone rather than boosting it. That asymmetry is the whole reason mastering hot is counter-productive: you do not get a louder video, you get the same perceived level with less dynamic range and a squashed, fatiguing mix.

The practical consequence for short-form is specific. A heavily limited edit that hits -9 LUFS gets pulled back to roughly -14 on playback, but the limiting damage stays. Dialogue that was riding against a brickwall now sounds flat next to a competitor's video that was mastered at target and left breathing room. On a muted-first platform this matters less for the first second and much more for the viewer who unmutes at second three.

The other side of the same problem is under-target masters. A -20 LUFS export is not normalised upward on most surfaces, so it plays noticeably quieter than everything around it in the feed. Viewers do not diagnose this — they scroll.

Measuring correctly: integrated, short-term and true peak

Integrated loudness is the average across the whole programme and is what platforms measure against. Short-term loudness is a rolling three-second window and is what tells you whether the hook is competitive in the first beat. True peak is the inter-sample maximum after conversion to lossy audio, which is why a -0.1 dBFS peak can still clip after encoding.

Measure integrated on the finished timeline, not on the dialogue stem. Measure short-term across the first five seconds separately — on short-form this is the number that decides whether your opener cuts through, and it is routinely 4-6 LU below the programme average on edits that feel weak despite measuring correctly overall.

Set the true peak ceiling at -1 dBTP for social delivery. Broadcast conventions of -2 dBTP are safe but leave audible headroom on the table; -0.1 dBTP invites codec-induced clipping on AAC playback.

Common failures we see in incoming footage

Music beds mixed by eye rather than by ear against the voice. If the bed measures 8-10 LU below the dialogue it will still mask consonants during dense passages — ducking has to respond to the dialogue envelope, not sit at a fixed offset.

Multi-speaker interviews where each speaker was normalised independently to the same peak. Peak normalisation ignores perceived loudness, so a soft-spoken guest still sounds quiet next to a projecting host. Match on loudness units, then fine-tune by ear.

Voiceover recorded in a live room and then compressed hard to fix the level. Compression raises the room tone along with the voice; the fix is treatment or a closer mic, not more gain reduction.

Loudness (LUFS) reference and ducking calculator

Interactive, no email required. Numbers come from our own production data.

TikTok-14 LUFS / -1 dBTPNormalises up; thin mixes sound weak.
Instagram / Reels-14 LUFS / -1 dBTPDialogue-forward, music bed -20 LUFS.
YouTube-14 LUFS / -1 dBTPLouder masters get turned down, not up.
LinkedIn-16 LUFS / -1.5 dBTPMost plays are muted — captions carry it.
Podcast (audio)-16 LUFS / -1 dBTPMono -19 LUFS for spoken-word feeds.
Broadcast / OTT-23 LUFS / -2 dBTPEBU R128 delivery standard.

Dialogue: -14 LUFS

-20 LUFS

Duck the music bed to this level under speech (a 6 LU gap), with a 120 ms attack and 400 ms release.

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Frequently asked questions

What LUFS should social video be?

Minus fourteen LUFS integrated with true peak at -1 dBTP for TikTok, Instagram and YouTube. LinkedIn sits nearer -16 LUFS. Mastering louder than the target achieves nothing because platforms normalise playback downward.

What is true peak and why -1 dBTP?

True peak measures inter-sample peaks that appear after lossy encoding, which a normal peak meter misses. Leaving 1 dB of headroom prevents the distortion that appears once your file is re-encoded by the platform.

How loud should music be under dialogue?

About 6 LU below the dialogue while someone is speaking, rising to around 3 LU below in gaps. Set the gap rather than a fixed fader level, since perceived loudness varies significantly between tracks at the same level.

Do podcasts and video need different masters?

Yes. Audio feeds target -16 LUFS stereo or -19 mono; video platforms target -14. Using one master for both causes noticeable volume differences between your feed and your YouTube upload.

What about broadcast delivery?

EBU R128 requires -23 LUFS with a -2 dBTP ceiling, which is far quieter than social. Never repurpose a social master for broadcast delivery, or a broadcast master for social — both will be rejected or sound wrong.

Which meter should I use?

Any ITU-R BS.1770-compliant loudness meter — Youlean, the built-in meters in Resolve and Premiere, or iZotope Insight. Measure integrated loudness across the whole programme, not momentary peaks.

Get a sample edit for LUFS Reference

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