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No matter how good your technical equipment might be, it is almost impossible to avoid capturing unwanted in-/exhaling sounds and mouth noises during voice recordings. After some users asked for an automatic removal of such sounds to improve the audio quality, we got to work and are now proud to present a major upgrade to our Denoiser, including the automatic removal of mouth noises and a new “Remove Breathings” option!
Check out our Audio Examples and the Getting Started Guide below.

What is new?

  • Remove Breathings: When the new “Remove Breathings” option is enabled, all the inhalation ...

For those of you who like to be in control of every applied cut, we are introducing an update for our Automatic Silence and Filler Word Cutting Algorithms today: The export of Cut Lists allows you to import cuts into your favorite audio/video editor to check and apply the cuts to your files manually.
Thanks to your great feedback, we were able to update our “Filler Word Cutting” algorithm as well.

Cut Lists Export

We now provide the export of various formats of “Cut Lists” in the Auphonic Web Service.
You can use these formats to modify and ...

We all know the problem: the content is perfectly prepared, and everything is in place, but the moment you hit the record button, your brain freezes, and what pops out of your mouth is a rain of “ums”, “uhs”, and “mhs” that no listener would enjoy.
Cleaning up a record like that by manually cutting out every single filler word is a painstaking task.

So we heard your requests to automate the filler word removing task, started implementing it, and are now very happy to release our new Automatic Filler Cutter feature. See our Audio ...

Cutting audio can be a rather tedious task. It requires a decent amount of time and is quite repetitive. Often silence segments, like speech breaks or breathing pauses, make cutting audio necessary in the first place.

Photo by Daniel Schludi on Unsplash

We introduce our new automatic silence cutting feature! It will make your life easier by saving you the time you would normally require to ...

In addition to our Leveler, Denoiser, and Adaptive 'Hi-Pass' Filter, we now release the missing equalization feature with the new Auphonic AutoEQ.
The AutoEQ automatically analyzes and optimizes the frequency spectrum of a voice recording, to remove sibilance (De-esser) and to create a clear, warm, and pleasant sound - listen to the audio examples below to get an idea about what it does.

Screenshot of manually ...

Our classic noise reduction algorithms remove broadband background noise and hum in audio files with slowly varying backgrounds.
We released the first beta version of the new dynamic noise reduction algorithms now, which work much better with fast-changing and complex noises. Listen to the audio examples below, they demonstrate some of the new features and use cases!

Glitch While Streaming by Michael Dziedzic.

How to try out the Beta Denoiser

At the moment, only users with access to our advanced algorithm parameters can try the beta noise reduction algorithms (free users: please just ...

Did you ever experience a sudden drop in volume when converting your audio from stereo to mono? Chances are this has happened to you, as mono incompatibility is a common issue with stereo recordings. Auphonic now detects and fixes this for you automatically.

Phase correlation screenshot of Stereo Tool v3 by flux.

Why is mono incompatibility even an issue?

Let’s assume you just published your latest podcast episode. One day later your listeners are complaining about your episode sounding strangely thin and that they need to raise the volume significantly to hear anything. How ...

Today we are thrilled to introduce revised parameters for the Adaptive Leveler to move our advanced algorithms out of beta.
The leveler can now run in three modes, which allow detailed Leveler Strength control and also the use of Broadcast Parameters (Max. Loudness Range, Max. Short-term Loudness, Max. Momentary Loudness) to limit the amount of leveling.

Photo by Gemma Evans.

When we first introduced our advanced parameters, we used the Maximum Loudness Range (MaxLRA) value to control the strength of our leveler. This gave good results, but it turned out that only pure speech programs give reliable and ...

Following current standards, loudness normalization is applied regardless of the content of a production. Cinematic content, i.e. productions with a high loudness range, can benefit from dialog loudness normalization.
At Auphonic, we are introducing a classifier for automatic speech loudness normalization, and our processing stats now provide level statistics for dialog and music as well as the overall production.

Photo by Dima Pechurin.

Loudness of Cinematic Content

We have discussed the issue extensively, but it’s still true: getting the levels of your production right is difficult. It’s especially challenging when you work with music, sound effects and ...

Should I set the loudness target for mono podcasts to -16 LUFS or -19 LUFS?
This seemingly simple question comes up often and is the main topic of this blog post.

Photo by Franck V.

We are also introducing the new loudness normalization parameter Dual Mono and we're announcing the move of our Advanced Audio Algorithms to Public Beta!

The Mono Loudness Problem

"If my stereo production is loudness normalized to -16 LUFS, should I use -19 LUFS for mono (3 LU lower)?"
Unfortunately, this simple question is not that easy to answer - it depends on how ...