Podcast and video audio

Music only works in a podcast or video if the voices sit clearly on top of it. This category covers the AI tools that get dialogue into shape and make room for music: noise removal, leveling, filler-word cleanup and editing by transcript.

Descript and Podcastle let you edit recordings by editing the transcript, which is quick for cutting a long interview down. Riverside records remote guests on their own devices and adds AI editing and clip tools afterwards. Adobe Podcast and Cleanvoice focus on cleanup: making a laptop microphone sound closer to a studio one, and removing ums, mouth noises and long pauses. Auphonic handles the last step many people skip, which is consistent loudness from one episode to the next.

A few habits make music and speech work together. Keep music well below the voice during talking sections, and use ducking so it drops automatically when someone speaks. Bring music up in gaps and transitions. Avoid busy melodies under speech; a simpler bed or a stem without the lead instrument works better. Check the finished mix on a phone speaker, since that is where most people will hear it.

If a tool offers synthetic voice fixes for a fluffed word, use them only on your own voice or a voice you have permission for, and keep the original recording.

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5 AI music tools in podcast and video audio

Descript

Edits audio and video by editing the transcript, with filler-word removal, voice cleanup and stock music.

  • Free plan or free version
  • Works in the browser
  • Desktop app or plugin

Adobe Podcast

by Adobe

Browser tools that clean up speech recordings so they sound closer to a studio microphone.

  • Free plan or free version
  • Works in the browser

Auphonic

Automatic leveling, noise reduction and loudness normalization for podcasts and video audio.

  • Free plan or free version
  • Works in the browser
  • Developer API

Riverside

Records remote podcast and video interviews in high quality, with AI editing and clip tools.

  • Free plan or free version
  • Works in the browser
  • Mobile app

Cleanvoice

Removes filler words, mouth sounds and long silences from podcast recordings.

  • Works in the browser

Record clean first, then clean up. A quiet room, a decent microphone close to the mouth and a steady recording level make every tool in this category work better. Cleanup tools are good at steady noise such as fans and hum, and much weaker on echo, crosstalk and clipping.

Watch out for over-processing. Heavy noise removal can make voices sound thin or watery, and aggressive filler-word removal can cut natural pauses that make a conversation feel real. Listen to a few minutes in full after processing, and compare it with the original before you commit.

Music licensing applies to podcasts too. A track licensed for YouTube videos is not automatically licensed for a podcast feed, and some podcast hosts scan audio for copyrighted music. Check that each library license covers podcasts before you use a track in an episode.

Save a project template once a show sounds right: the same cleanup settings, music levels and loudness target for every episode. Listeners notice when one episode is louder or brighter than the last, and a template keeps a show consistent.

Questions about podcast and video audio

How loud should music be under a podcast voice?

There is no single number, but music should sit clearly below speech so every word is easy to follow on a phone speaker. Use ducking, and listen back on the cheapest speaker you own.

Do I need a separate tool for loudness?

Not always. Several editors include leveling, but a dedicated tool such as Auphonic keeps loudness consistent across episodes, which listeners notice when they binge a show.

Can these tools fix a noisy recording?

They can improve it a lot, especially steady noise such as fans and hum. Heavy echo and overlapping voices are harder. Recording in a quiet, soft-furnished room still beats any cleanup.

Is editing by transcript accurate enough?

For cutting and rearranging, yes. Check the cuts by ear, since a word can clip or a breath can jump. Fine music edits still work better on a waveform timeline.

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