Auphonic

Professional-sounding audio usually needs a sound engineer: balancing voices, removing noise, hitting loudness standards and exporting correctly. Auphonic automates that work, which is why it has long been popular with podcasters and radio producers.

You drop in an audio or video file and Auphonic levels speakers and music, reduces noise and reverb, cuts filler words and silences, meets loudness targets, mixes multiple tracks, transcribes and publishes. It sits among audio tools like AudioCleaner AI, with a deeper, standards-focused post-production pipeline.

This review covers what Auphonic does to a recording, which podcasters and producers it suits, how it prices processing time, and when it is not the fix you need.

Auphonic Audio-Engineer Facts

Auphonic, The Sound-Polish Brief

• Auphonic is an automatic sound engineer: upload audio or video and it levels, cleans and finishes it.
• It covers the whole post chain: noise and reverb reduction, filler and silence cuts, loudness targets and multitrack mixing.
• It adds publishing and transcripts: speech-to-text, show notes, chapters and automatic distribution.
• It polishes, it does not fix everything: badly recorded audio improves but cannot match a well-recorded source.

An Automatic Sound Engineer For Podcasts And Video

Auphonic's purpose is to give non-engineers broadcast-quality audio with almost no effort. You upload a file, choose a preset or a few settings, and its algorithms handle the work a sound engineer would normally do.

Its intelligent leveller balances loudness between speakers, music and speech without you needing to understand compressors, while noise and reverb reduction, de-essing, de-plosive filtering and clipping repair clean up common recording problems.

It also handles the tedious editing many podcasters dread, automatically cutting silences, coughs and filler words in several languages, and it can process multitrack recordings with automatic ducking, noise gating and mic-bleed removal.

The honest framing is that Auphonic is excellent at polishing and standardising audio, but it cannot work miracles. A good microphone and a quiet room still matter, and heavily damaged recordings will improve rather than sound truly professional.

Auphonic is excellent at polishing and standardising audio, but a good microphone and a quiet room still matter.

What Does Auphonic Do To A Recording?

Auphonic's pipeline runs from cleaning and levelling to standards compliance, transcription and distribution.

Levelling, Noise Reduction And Filler Cuts

Auphonic balances levels, reduces static or fast-changing noise, removes reverb, filters harsh frequencies and repairs clipping, then cuts filler words and silences. For many shows, that alone removes most of the editing burden.

For mastering music rather than speech, a platform like LANDR is the specialist; Auphonic's strength is spoken-word and mixed speech-and-music content.

Loudness Targets, Transcripts And Publishing

You can set target loudness, true peak limits and other specifications so episodes stay consistent and meet platform or broadcast standards. Auphonic also produces multilingual speech-to-text with automatic show notes and chapters, creates video podcasts with audiograms and subtitles, and publishes to platforms such as YouTube and podcast hosts.

For transcription at scale inside your own products, a speech-to-text API like AssemblyAI is built for developers; Auphonic includes transcripts as part of finishing an episode.

Which Podcasters And Producers Auphonic Suits

Auphonic suits podcasters, radio and broadcast producers, video creators, educators and organisations that publish spoken-word content regularly and want consistent, standards-compliant sound without hiring an engineer.

It suits teams that automate production, since watch folders, an API, a command-line tool and Zapier integration let it slot into existing workflows and process files without manual uploads.

It suits less well music production and mastering, sound design, or anyone who wants fine-grained manual control over every edit, where a digital audio workstation and an engineer are better.

It also cannot rescue recordings that are fundamentally poor; improving the source, with better microphones and quieter rooms, gives Auphonic much better material to work with.

For most spoken-word creators, the realistic outcome is a dramatic improvement in consistency and polish for very little effort, which is exactly the job most shows need done.

How Auphonic Prices Processing Hours

Auphonic offers a number of free processing hours each month, with paid plans and one-time credits for more processing time. We do not publish prices, which change; check the site.

Because pricing is based on processing time, the value is easy to model: estimate your monthly hours of audio and compare that with the cost of editing time or a freelance engineer.

For many podcasters the free allowance covers a light schedule, while weekly shows, multi-show networks and broadcasters will usually need a paid plan or credits.

The sensible approach is to run a few real episodes through the free hours, compare the results with your current process, and only then choose a plan that matches your actual monthly volume.

Networks and agencies running several shows should also check how processing hours are shared across users and productions, since multiple weekly shows can use up an allowance much faster than a single podcaster expects.

Processing One Episode Through Auphonic

Because Auphonic's value shows on real episodes, test it on recordings you already know well.

1. Upload a typical episode, ideally one with some noise or uneven levels.
2. Choose loudness targets that match your platforms.
3. Enable filler-word and silence cutting and review what was removed.
4. Try multitrack processing if you record speakers separately.
5. Check the transcript, show notes and chapters for accuracy.
6. Pass/fail: Auphonic is worth it if episodes sound better with far less editing time.
7. Improve your recording setup too; better input gives better output.

Auphonic Audio Terms

Loudness normalisation

Adjusting audio to a target perceived loudness so episodes sound consistent across platforms.

True peak

The maximum level of the audio waveform after conversion, limited to avoid distortion on playback.

Ducking

Automatically lowering music or another track when someone speaks, so speech stays clear.

Mic bleed

When one speaker's microphone picks up another speaker, which multitrack processing can reduce.