Free AI Mastering for Podcasts and Voiceover (-16 LUFS)

To "master" a podcast, you clean up the voice (denoise, de-ess, gentle EQ) and normalize the whole episode to the podcast loudness standard: roughly -16 LUFS integrated with a -1 dBTP true-peak ceiling for Apple Podcasts, or -14 LUFS for Spotify. TrackGleam's Voice Cleanup does this free, entirely in your browser, with nothing uploaded — your recording never leaves your device.

How loud should a podcast be? (-16 LUFS)

Podcasts are loudness-normalized by the apps that play them, so chasing maximum volume is pointless — the platform just turns you back down. What matters is hitting the target the platform expects. Apple Podcasts recommends episodes land at -16 LUFS integrated (±1 dB) with a true peak no higher than -1 dBTP, per its official Audio requirements page (as of July 2026). Spotify's podcast guidance points to -14 LUFS with the same -1 dBTP ceiling.

If you only want to make one master, -16 LUFS / -1 dBTP is the safe universal choice — it satisfies Apple exactly and sits comfortably under Spotify's louder target, so nothing gets crushed. This is the same integrated-loudness measurement used for music, just aimed a couple dB lower because speech is perceived slightly louder than music at the same meter reading. For the full picture of how these targets differ across platforms, see our guide to LUFS streaming targets.

What does mastering a podcast actually fix?

"Mastering" is a loaded word for spoken audio — most of what a podcast needs is really cleanup plus leveling. Here is what a good voice pass addresses:

• Background noise — room hum, laptop fans, air conditioning, and low-level hiss that sits under the voice.
• Harsh sibilance — the sharp "sss" and "tsss" sounds (de-essing) that fatigue listeners on earbuds.
• Uneven levels — a guest who trails off quietly while the host is loud, or one episode that's noticeably softer than the last.
• Tonal balance — thin, boxy, or muddy voice EQ'd toward a clearer, more present sound.
• Peaks and clipping — stray loud consonants or laughs that spike over 0 dB and distort.
• Final loudness — the whole episode normalized to -16 LUFS so it matches every other show in the feed.

What mastering cannot fix is a fundamentally bad recording — heavy echo from a bare room, a clipped-on-the-way-in signal, or a microphone six feet away. Capture the cleanest voice you can first; cleanup is polish, not resurrection.

How to denoise and level voice audio for free

TrackGleam's Voice Cleanup is built for exactly this. It runs a spoken-word chain — denoise, de-ess, tonal EQ, and normalization to -16 LUFS integrated with a -1 dBTP ceiling — and it does the whole thing in your browser using Web Audio and WebAssembly. Here is the workflow:

1. Open the Voice page and drop in your WAV or MP3. Nothing uploads — the file is processed locally on your machine.
2. Let the cleanup run. It reduces steady background noise, tames sibilance, and evens out the level across the whole episode.
3. Check the measured numbers. You get real integrated LUFS, true-peak (dBTP), and loudness-range readouts on the finished file, calculated to the ITU-R BS.1770 standard — the same numbers any professional meter would show.
4. Export the leveled file and publish it.

Because it's client-side, there's no account, no login, and no queue — and your voice, which is personal, never travels to a server. If you're weighing whether an automated pass is trustworthy for your audio, our honest breakdown of whether AI mastering is safe walks through what these tools do and don't touch.

Podcast vs music mastering: what's different?

The mechanics overlap, but the priorities diverge. The table below sums up the practical differences.

Verified July 2026 — prices/specs change; re-check the source.

In short: music mastering guards dynamics and character; podcast mastering guards clarity and consistency. A voice chain leans harder on noise reduction and de-essing, and it controls dynamics tightly so a whisper and a laugh both stay intelligible on cheap earbuds in a noisy commute.

Master your podcast in the browser (no upload)

Automated tools handle the repetitive, measurable parts of voice cleanup well — matching a loudness target, catching peaks, evening out levels — which is why they suit podcast production, where you're shipping episode after episode on a schedule. If you're curious about the mechanics behind the automation, we explain how AI mastering actually works in plain English.

The honest bottom line: you don't need a subscription, a plugin bundle, or an upload to get a clean, correctly-leveled episode. TrackGleam's Voice Cleanup gives you a spoken-word denoise-and-level pass, targets the -16 LUFS / -1 dBTP podcast standard, measures the result so you can verify it, and keeps your recording entirely on your device. Bring a WAV or MP3, and you can hear the cleaned version in full before you decide anything.

Master a track free — no signup, nothing uploads