Before they hear a word
Listeners judge the sound before the content.
Three things make a show feel amateur inside ten seconds, and none of them are about what you said. All three are fixed here, and measured so you can see the fix rather than take our word for it.
Breaths and mouth noise
The sharp inhale before every sentence is the thing headphone listeners tire of first. Cutting it out shortens the pause and makes the edit sound rushed. Quietening it, and keeping the pause, is the fix.
The room
Fridge hum, fan wash, the hard walls of a spare bedroom. A listener cannot name it, but they hear that you are not in a studio. Noise removal that leaves the voice untouched closes most of that gap.
Loudness jumps
Your show plays after one that was mastered properly, and yours is quieter, or louder, or jumps between hosts. Platforms have a target for a reason. Hit it every episode and nobody reaches for the volume.
One episode, start to finish
Four steps. Two of them are free.
Is it the mic, the room, or me? I've bought two mics and it still sounds boxy.
Read a 30-second script in your normal setup and get a measured report on the space: echo and reverb tail, noise floor, mains hum, sibilance, and level consistency. Each problem comes with a practical fix, most of them free (move the mic, close the curtains, kill the fridge for twenty minutes).
Forty minutes of recording, three hours in the editor finding breaths and false starts.
Upload the episode and it comes back transcribed and editable as text. Every breath is quietened in place and the pause keeps its natural length, filled with your own room tone, so the conversation still breathes like a conversation. False starts, fluffed retakes and off-mic chatter are dropped, dead air is tightened, and every decision is listed so you can keep any breath or any line with one click.
The guest recorded in their kitchen and there's a fridge under every sentence.
Hiss, hum, fan wash and room noise stripped out while the voice stays untouched. It runs on our own servers, not a third party's, and the noise floor is measured before and after so you see the real improvement in numbers, not a marketing claim. Run a guest's track through it before the mix and the two of you finally sound like you were in the same room.
Apple says one number, Spotify says another, and my episodes are all over the place.
Pick the preset and the file comes back at -16 LUFS for podcast platforms and Apple, or -14 LUFS for Spotify and YouTube, with true peaks held under -1 dBTP. Two-pass processing, then the finished file is re-measured so you know it landed. Download as WAV for your archive or MP3 for the host.
Host-read ads pay the bills, and a dropped word means a re-record.
Paste the sponsor's script, upload the read, and every word comes back highlighted green or red, so a dropped or swapped word is caught before the sponsor's producer catches it. The Rate Calculator (free) will also tell you what a host-read spot is worth, which is usually more than you were about to quote.
Straight answers
What podcasters ask first.
Does it shorten my episode when it removes breaths?
No. A breath is quietened in place and the pause keeps its exact length, filled with your own room tone, so the rhythm of the conversation stays yours. Every breath is listed so you can keep any one of them with a click.
What about two or three people talking?
Auto Clean Up works on a single mixed file or on each person's track separately. For the cleanest result, run each host's track through it and then mix as usual; breath quietening and noise removal both work best with one voice per file.
Which loudness should a podcast be delivered at?
Most podcast platforms and Apple Podcasts sit at -16 LUFS integrated with a true peak no higher than -1 dBTP. Spotify and YouTube normalise to -14 LUFS. Loudness Normalizer has a preset for each and measures the finished file so you know it landed.
Is there a limit on episode length or minutes per month?
No per-minute credits and no monthly cap. Unlimited means unlimited for a working podcaster; very heavy industrial use may reach a generous fair-use ceiling, which is spelled out in the terms.
What happens to my audio?
It is processed on our own servers and deleted. It is never used to train any AI model, ours or anyone else's, and it is never sold or shared. The full promise is on the Your Audio page.
The bottom line
Spend the evening on the next episode.
Eleven tools, one subscription, $15 a month, and the price you sign up at is the price you keep. No per-minute credits, no episode caps, nothing to install.