Fillerword detection is highly language specific. While “uhm” and “aah” might be more common across the board, each language has its own unique fillerwords. We take this into account when improving our algorithms. Auphonic lets you automatically cut unwanted parts from your audio production, easily removing silence and fillerwords in multiple languages.

Introducing Greek, Romanian and Hungarian

We develop and train all of our algorithms in-house - and in our latest rollout, we've improved the detection of fillerwords in Greek, Romanian and Hungarian.

Fillerwords from these languages will now be detected more reliably and automatically removed ...

Ever struggled with muffled, low-quality audio in voice calls or old recordings? Our latest feature — Bandwidth Extension, now integrated with the Voice AutoEQ — is here to change that.
Audio bandwidth extension (BWE) intelligently restores missing high frequencies, making speech clearer and more natural, even in archival or low-bitrate recordings. Listen to our BWE audio examples below to hear the difference for yourself!

What is Audio Bandwidth Extension (BWE)?

Audio bandwidth extension is a technique used to artificially recreate or “extend” higher audio frequencies that may have been lost or limited during recording, transmission, or compression. ...

The new Auphonic team accounts streamline billing for companies, teams, or groups and are available to business users. A team account's owner can invite team members and admins, all of whom share the team account's credits for their productions.

The team account feature only impacts billing. Team members cannot access each other’s productions, presets, etc.
If you're interested in switching to a team account, please contact us!

What are Auphonic Teams?

A team consists of an Owner with Members and optional Admins. The Owner and Admins can add and remove team members as well as change their ...

We're excited to announce the release of our new speaker diarization feature! With our latest update, we can now detect individual speakers within a single audio recording, allowing users to see precisely who said what and when. This information is then reflected in the transcript.
Previously, this feature was only available in Multitrack Productions.

What is Speaker Diarization?

Speaker diarization is the process of identifying different speakers and segmenting an audio file accordingly, making it easier to accurately determine who said what. This is particularly useful in scenarios like meeting recordings, interviews, and podcasts involving ...

A new foray into the world of video: Auphonic is proud to announce support for intro and outro videos! With our most recent update you can now seamlessly integrate video intros and outros into your productions, providing a richer and more engaging experience for your audience.

Photo by Jakob Owens on Unsplash

What's new?

For a long time Auphonic has supported video files as the main files of productions. Until recently, intros and outros were limited to audio-only though.

Our new feature now allows you to add video intros and outros to your productions. This means ...

Responding to your feedback, we are now proud to present new separate parameters for noise, reverb, and breath reduction to give you more flexible control for your individual, best output results.
Find all the new parameters below and listen to the Audio Examples to get a closer impression of the upgrade.

What's the update about?

Before

Previously, you could only set the Denoising Method and one reduction amount, that was used for all elements.
Depending on the selected method, you were already able to decide whether music, static, or changing noises should be removed, but there was no setting ...

We're excited to roll out an upgraded version of our Transcript Editor, focusing on enhancing your transcription workflow and making it more intuitive, especially for mobile users. This overhaul introduces several key improvements and features designed to streamline the transcription process.

Click here for a Live Demo

What's new?

Line by Line Editing

Your transcript is being rendered line by line. This allows for precise editing of every single timestamp. Depending on the speech recognition engine editing can be done on word or phrase level.
For optimal results, we suggest utilizing our Auphonic Whisper ASR engine.

A paragraph ...

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 ...