Normalize Audio. Every take at the right loudness.

Measured in LUFS, brought to your target, and never clipped.

Bring this to -14 LUFS for Shorts and TikTok.Open in chat

Everything on this page was made on Treza. See pricing

Measured first

Loudness, true peak and range, read before anything moves.

Presets for where it posts

Shorts and TikTok at -14, podcasts at -16, broadcast at -23.

Or your own number

Any target from -40 to -5 LUFS.

Nothing clips

A true-peak limiter keeps the peaks under your ceiling.

The picture untouched

Only the sound is processed. The video is copied as it is.

Every number back

What it measured, the target, and the gain in dB.

Three takes, one level

The bars are the sound before and after. The numbers are measured.

A woman in a yellow sweater talking to camera, her level before and after matched for Shorts

A quiet take, for Shorts

In at -29.9 LUFS, out at -15.3.

Audio Normalize

A man in a blue jacket talking to camera, his level before and after matched for a podcast

Matched for a podcast

In at -25.4 LUFS, out at -16.8.

Audio Normalize

A capybara captain and an axolotl co-pilot on a starship bridge, the scene's level before and after matched for Shorts

A whole scene, for Shorts

In at -24.5 LUFS, out at -13.9.

Audio Normalize

From idea to finished video

  1. Step 01

    Attach the take

    A video or an audio file, in chat or on the canvas.

  2. Step 02

    Say where it goes

    Shorts, a podcast, or a number in LUFS.

  3. Step 03

    Get it matched

    The same video back, at the new level.

  4. Step 04

    Run it last

    After the music mix, so what it measures is what posts.

The Treza chat with a request for an eight second manta ray shot, captioned and scored with an ambient bed, the finished captioned clip playing in the thread underneath it, and the reply saying what was made

One sentence, in the words you would use out loud.

What people build with it

Shorts, Reels and TikTok

Land at -14 so the app leaves your level alone.

Podcast episodes

-16 LUFS, where podcast feeds sit.

A series that matches

Every episode at one level, no jump between them.

Quiet phone takes

Bring a soft voice up without clipping it.

Voiceovers

Narration at the same level as the rest of the cut.

Broadcast dialogue

-23 LUFS for a broadcast delivery.

Same level. Every take.

Match it last, then post it.

Normalize audio, answered

What is LUFS?

A measure of how loud a track sounds over its whole length, which is what the platforms match to.

What loudness should I use?

-14 for Shorts, Reels and TikTok, -16 for podcasts, and -23 for broadcast dialogue.

Does it change the picture?

No. The picture is copied as it is, and only the sound is processed.

Will it flatten my music?

Raise the loudness range toward 20 and it keeps more of the swing between soft and loud.

How much does it cost to make a normalized video with Treza?

Treza runs on prepaid credits with no subscription. Each generation is charged at the model's own rate from your balance, and a failed generation costs nothing. A typical video generation settles around $1.06, and credit packs start at $5 and never expire.

Can I call this as an API instead of using the canvas?

Yes. Every pipeline can be published as a versioned HTTP endpoint. Call the typed /invoke endpoint with JSON in and JSON out, or point any OpenAI SDK at the OpenAI-compatible endpoint. Swap a model on a node later and the API your product calls does not change.

Do I need to know how to edit video?

No. Start from a template, change the topic, and run it. If you do want frame-level control, the timeline editor is there with multi-track video and audio, per-clip trims, fades, and volume, but nothing about the automated path requires opening it.