AI talent is here. Meet Mato 1.0Read the launch
Production · the boring, fixed

The work after “stop record”, done while you breathe.

Mato cleans every episode, levels it to platform spec, writes the captions, and marks the chapters. Renders go out to every destination. You either publish or review.

−16 LUFS
Spotify-ready loudness
~2 min
Render per 60 min episode
5 fmts
MP3, WAV, MP4, vertical, audiogram
Trim
silence + ums
Denoise
room + breath
Level
−16 LUFS
Caption
99 langs
Render
5 formats
00:01.4trimremoved 2,140 ms of silence (47 segments)
00:18.2denoise−18 dB room tone, breath gate at −42 dB
00:34.8levelintegrating loudness… target −16 LUFS
62%
Pipeline
1m 48s
Elapsed
−16.0
LUFS now
99.4%
Caption confidence
What gets done

Every tedious step, handled before you touch the file.

Loudness

Mastered to spec.

Each platform has its own loudness target. Mato measures integrated LUFS, true-peak, and dynamic range, then normalizes once per destination. You upload once. Each render lands at the right level for where it’s going.

−16 LUFS for podcast feedsSpotify, Apple Podcasts, iHeart, Pocket Casts
−14 LUFS for streaming videoYouTube and Twitch render targets
True-peak limited at −1 dBTPSo nothing clips after platform encoding
Mastering · ep 47Compliant
Integrated
−16 LUFS
−16.0
Short-term
−17.2
True peak
−1.4
Range (LRA)
7.8 LU
Crest factor
14 dB
Trim2,140 ms removed
Sentence-boundary cuts

Filler removed where it doesn’t show.

Every cut sits at a sentence boundary. Crossfades match the room tone. “Um,” “uh,” long silences, false starts: gone. Coughs and stumbles too, if you want. Your cadence stays intact.

Crossfades matched to room tone
Sentence-boundary cuts only. No mid-word clipping.
Per-host sensitivity (some hosts say "um" on purpose)
Honest note

Aggressive cleanup can flatten the rhythm of a great take. We default to conservative. You dial it up per episode.

Multi-format render

One source, five deliverables.

From every finished episode Mato renders an MP3 for the feed, a WAV for archive, a horizontal MP4 for YouTube, a vertical 9:16 cut for Shorts, and an animated audiogram for socials. Each at the right specs for its destination.

MP3 + WAVFeed-ready and archive · chapters embedded in ID3
16:9 MP4 with auto-captionsYouTube specs, with chapter timestamps in description
9:16 vertical clipFor Shorts, Reels, TikTok. See Clip generation.
Multi-format render illustrationRender5 of 5 ready

Stop polishing.
Start publishing.

Upload a raw take. Mato hands you a feed-ready episode with transcript, chapters, and clips, in the time it takes to make coffee.

Something worth listening to
mato
© 2026 Mato. All rights reserved. English · Multiple languages available